Add baoyu-skills package

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---
name: baoyu-article-illustrator
description: Analyzes article structure, identifies positions requiring visual aids, generates illustrations with Type × Style × Palette three-dimension approach. Use when user asks to "illustrate article", "add images", "generate images for article", or "为文章配图".
version: 1.117.4
metadata:
openclaw:
homepage: https://github.com/JimLiu/baoyu-skills#baoyu-article-illustrator
---
# Article Illustrator
Analyze articles, identify illustration positions, generate images with Type × Style × Palette consistency.
## User Input Tools
When this skill prompts the user, follow this tool-selection rule (priority order):
1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent.
2. **Fallback**: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
3. **Batching**: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.
Concrete `AskUserQuestion` references below are examples — substitute the local equivalent in other runtimes.
## Image Generation Tools
When this skill needs to render an image, resolve the backend in this order:
1. **Current-request override** — if the user names a specific backend in the current message, use it.
2. **Saved preference** — if `EXTEND.md` sets `preferred_image_backend` to a backend available right now, use it.
3. **Auto-select** (when the preference is `auto`, unset, or the pinned backend isn't available):
- **Codex (`imagegen`)** — first, inspect your available-skills / tool inventory. If a skill named `imagegen` is listed, you are running inside Codex and MUST use it: invoke via the `Skill` tool with `skill: "imagegen"`, passing the saved prompt file's content (plus output path and aspect ratio per Codex `imagegen`'s own args). Codex `imagegen` is the official raster backend in that runtime and outranks any non-native skill (e.g., `baoyu-image-gen`) unless the user has explicitly pinned a different `preferred_image_backend`.
- **Codex via `codex exec` (`codex-imagegen`)** — if the current runtime exposes no native `imagegen` skill but the `codex` CLI is on `PATH` with an active `codex login`, route through `baoyu-image-gen --provider codex-cli` (preferred), or — if baoyu-image-gen is unavailable — invoke the bundled wrapper directly. Details, parameters, and the runtime-discovery procedure live in [references/codex-imagegen.md](references/codex-imagegen.md) — load that file only when this branch is selected.
- **Cursor (`GenerateImage`)** — if the runtime exposes a native `GenerateImage` tool, you are running inside Cursor and it outranks any non-native skill the same way Codex `imagegen` does. Two hard caveats: (a) it has no aspect-ratio parameter — state the target aspect ratio / dimensions explicitly in the prompt text passed as `description`; (b) it does not accept an output directory — it saves to a tool-managed location, so after generation copy/move the file to the skill's expected output path (e.g., `outputs/.../NN-xxx.png`). Reference images go in `reference_image_paths`.
- **Other runtime-native tools** — if the runtime exposes a different native image tool (e.g., Hermes `image_generate`), use it the same way.
- Otherwise, if exactly one non-native backend is installed (e.g., `baoyu-image-gen`), use it.
- Otherwise (multiple non-native backends with no runtime-native tool), ask the user once — batch with any other initial questions.
4. **If none are available**, tell the user and ask how to proceed.
**⛔ Never substitute SVG, HTML, canvas, or other code-based rendering for raster image generation.** Codex `imagegen`'s own description says it should be used "when the output should be a bitmap asset rather than repo-native code or vector." If you cannot resolve a raster backend via step 3, fall through to step 4 and ask the user — do **not** silently emit SVG, write inline `<svg>` markup, or produce HTML/CSS art as a substitute. This applies even if the article/section seems "diagram-like": the consumer skill calling this rule has already decided that a raster image is what it needs.
**⛔ Never repair rendered text by painting over a generated bitmap.** Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace labels, captions, or any other text inside an already generated illustration. If text is wrong or unclear, regenerate from a corrected prompt, redraw with less or no on-image text, or ask the user which imperfect candidate to keep.
Setting `preferred_image_backend: ask` forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the `## Changing Preferences` section below.
**Prompt file requirement (hard)**: write each image's full, final prompt to a standalone file under `prompts/` (naming: `NN-{type}-[slug].md`) BEFORE invoking any backend. The backend receives the prompt file (or its content); the file is the reproducibility record and lets you switch backends without regenerating prompts.
Concrete tool names (`imagegen`, `GenerateImage`, `image_generate`, `baoyu-image-gen`) above are examples — substitute the local equivalents under the same rule.
## Batch Generation Policy
After every prompt file for the run has been saved and verified, generate images in batches by default.
Priority order:
1. Use the chosen backend's native batch / multi-task interface if it exists. Each task must keep its own prompt file, output path, aspect ratio, and direct reference images.
2. If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time. Default: `4`. An explicit user request in the current message, such as `--batch-size 4` or "并行4张一起生成", overrides EXTEND.md.
3. If neither native batch nor parallel tool calls are available, generate sequentially.
Rules:
- Never start the first batch until all prompt files for that batch exist on disk.
- Retry failed items once without regenerating successful items.
- Do not use subagents merely to parallelize image rendering. Use subagents only for separate prompt iteration or creative exploration.
## Confirmation Policy
Default behavior: **confirm before generation**.
- Treat explicit skill invocation, a file path, matched signals/presets, and `EXTEND.md` defaults as **recommendation inputs only**. None of them authorizes skipping confirmation.
- Do **not** start Step 4 or later until the user completes Step 3.
- Skip confirmation only when the current request explicitly says to do so, for example: "直接生成", "不用确认", "跳过确认", "按默认出图", or equivalent wording.
- If confirmation is skipped explicitly, state the assumed type / density / style / palette / language / backend in the next user-facing update before generating.
## Reference Images
Users may supply reference images via `--ref <files...>` or by providing file paths / pasting images in conversation. Refs guide style, palette, composition, or subject for specific illustrations.
Full detection, storage, and processing rules are in [references/workflow.md](references/workflow.md) (Step 1.0 saves to `references/NN-ref-{slug}.{ext}`; Step 5.3 processes per-illustration usage `direct | style | palette`). When the chosen backend supports batch input, `direct`-usage entries in each prompt file's `references:` frontmatter should be propagated into its batch payload so backends can pass them through (e.g. `baoyu-image-gen` accepts `ref` per task).
## Three Dimensions
| Dimension | Controls | Examples |
|-----------|----------|----------|
| **Type** | Information structure | infographic, scene, flowchart, comparison, framework, timeline |
| **Style** | Rendering approach | notion, warm, minimal, blueprint, watercolor, elegant |
| **Palette** | Color scheme (optional) | macaron, warm, neon — overrides style's default colors |
Combine freely: `--type infographic --style vector-illustration --palette macaron`
Or use presets: `--preset edu-visual` → type + style + palette in one flag. See [Style Presets](references/style-presets.md).
## Types
| Type | Best For |
|------|----------|
| `infographic` | Data, metrics, technical |
| `scene` | Narratives, emotional |
| `flowchart` | Processes, workflows |
| `comparison` | Side-by-side, options |
| `framework` | Models, architecture |
| `timeline` | History, evolution |
## Styles
See [references/styles.md](references/styles.md) for Core Styles, full gallery, and Type × Style compatibility.
## Workflow
```
- [ ] Step 1: Pre-check (EXTEND.md, references, config)
- [ ] Step 2: Analyze content
- [ ] Step 3: Confirm settings (AskUserQuestion)
- [ ] Step 4: Generate outline
- [ ] Step 5: Generate images
- [ ] Step 6: Finalize
```
### Step 1: Pre-check
**1.5 Load Preferences (EXTEND.md) ⛔ BLOCKING**
Check EXTEND.md in priority order — the first one found wins:
| Priority | Path | Scope |
|----------|------|-------|
| 1 | `.baoyu-skills/baoyu-article-illustrator/EXTEND.md` | Project |
| 2 | `${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-article-illustrator/EXTEND.md` | XDG |
| 3 | `$HOME/.baoyu-skills/baoyu-article-illustrator/EXTEND.md` | User home |
| Result | Action |
|--------|--------|
| Found | Read, parse, display summary |
| Not found | ⛔ Run [first-time-setup](references/config/first-time-setup.md) |
Full procedures: [references/workflow.md](references/workflow.md#step-1-pre-check)
### Step 2: Analyze
| Analysis | Output |
|----------|--------|
| Content type | Technical / Tutorial / Methodology / Narrative |
| Purpose | information / visualization / imagination |
| Core arguments | 2-5 main points |
| Positions | Where illustrations add value |
**CRITICAL**: Metaphors → visualize underlying concept, NOT literal image.
Full procedures: [references/workflow.md](references/workflow.md#step-2-setup--analyze)
### Step 3: Confirm Settings ⚠️
**Hard gate**: this step is mandatory per the [Confirmation Policy](#confirmation-policy) — Steps 4+ cannot start until the user confirms here (or explicitly opts out with "直接生成" / equivalent wording in the current request).
**ONE AskUserQuestion, max 4 Qs. Q1-Q2 REQUIRED. Q3 required unless preset chosen.**
| Q | Options |
|---|---------|
| **Q1: Preset or Type** | [Recommended preset], [alt preset], or manual: infographic, scene, flowchart, comparison, framework, timeline, mixed |
| **Q2: Density** | minimal (1-2), balanced (3-5), per-section (Recommended), rich (6+) |
| **Q3: Style** | [Recommended], minimal-flat, sci-fi, hand-drawn, editorial, scene, poster, Other — **skip if preset chosen** |
| Q4: Palette | Default (style colors), macaron, warm, neon — **skip if preset includes palette or preferred_palette set** |
| Q5: Language | When article language ≠ EXTEND.md setting |
Full procedures: [references/workflow.md](references/workflow.md#step-3-confirm-settings-)
### Step 4: Generate Outline
Save `outline.md` with frontmatter (type, density, style, palette, image_count) and entries:
```yaml
## Illustration 1
**Position**: [section/paragraph]
**Purpose**: [why]
**Visual Content**: [what]
**Filename**: 01-infographic-concept-name.png
```
Full template: [references/workflow.md](references/workflow.md#step-4-generate-outline)
### Step 5: Generate Images
⛔ **BLOCKING: Prompt files MUST be saved before ANY image generation.** This is a hard requirement regardless of which backend is chosen — the prompt file is the reproducibility record.
1. For each illustration, create a prompt file per [references/prompt-construction.md](references/prompt-construction.md)
2. Save to `prompts/NN-{type}-{slug}.md` with YAML frontmatter
3. Prompts **MUST** use type-specific templates with structured sections (ZONES / LABELS / COLORS / STYLE / ASPECT)
4. LABELS **MUST** include article-specific data: actual numbers, terms, metrics, quotes
5. **DO NOT** pass ad-hoc inline prompts to `--prompt` without saving prompt files first
6. Select the backend via the `## Image Generation Tools` rule at the top: use whatever is available; if multiple, ask the user once. Do this once per session before any generation.
- **`codex-imagegen` invocation**: when the rule resolves to `codex-imagegen`, see [references/codex-imagegen.md](references/codex-imagegen.md) for the invocation contract (preferred `baoyu-image-gen --provider codex-cli` path, runtime wrapper discovery, parameter notes, stdout schema, batch semantics).
7. **Execution strategy**: Generate in batches per the `## Batch Generation Policy`: backend native batch first, runtime parallel tool calls second, sequential only as fallback. Default batch size is 4 unless EXTEND.md or the current request overrides it.
8. Process references (`direct`/`style`/`palette`) per prompt frontmatter
9. Apply watermark if EXTEND.md enabled
10. Generate from saved prompt files; retry once on failure
Full procedures: [references/workflow.md](references/workflow.md#step-5-generate-images)
### Step 6: Finalize
Insert `![description]({relative-path}/NN-{type}-{slug}.png)` after paragraphs. Path computed relative to article file based on output directory setting.
```
Article Illustration Complete!
Article: [path] | Type: [type] | Density: [level] | Style: [style] | Palette: [palette or default]
Images: X/N generated
```
## Output Directory
Output directory is determined by `default_output_dir` in EXTEND.md (set during first-time setup):
| `default_output_dir` | Output Path | Markdown Insert Path |
|----------------------|-------------|----------------------|
| `imgs-subdir` (default) | `{article-dir}/imgs/` | `imgs/NN-{type}-{slug}.png` |
| `same-dir` | `{article-dir}/` | `NN-{type}-{slug}.png` |
| `illustrations-subdir` | `{article-dir}/illustrations/` | `illustrations/NN-{type}-{slug}.png` |
| `independent` | `illustrations/{topic-slug}/` | `illustrations/{topic-slug}/NN-{type}-{slug}.png` (relative to cwd) |
All auxiliary files (outline, prompts) are saved inside the output directory:
```
{output-dir}/
├── outline.md
├── prompts/
│ └── NN-{type}-{slug}.md
└── NN-{type}-{slug}.png
```
When input is **pasted content** (no file path), always uses `illustrations/{topic-slug}/` with `source-{slug}.{ext}` saved alongside.
**Slug**: 2-4 words, kebab-case. **Conflict**: append `-YYYYMMDD-HHMMSS`.
## Modification
| Action | Steps |
|--------|-------|
| Edit | Update prompt → Regenerate → Update reference |
| Add | Position → Prompt → Generate → Update outline → Insert |
| Delete | Delete files → Remove reference → Update outline |
Text correction policy:
- If any rendered text (labels, captions, etc.) is misspelled, garbled, hard to read, or visually weak, do not patch the bitmap with code.
- For text-correction regenerations, write a new prompt file and a new output path so the flawed candidate is preserved for comparison.
- Post-processing is limited to crop, resize, compression, or format conversion that does not alter text or the main composition.
## References
| File | Content |
|------|---------|
| [references/workflow.md](references/workflow.md) | Detailed procedures |
| [references/usage.md](references/usage.md) | Command syntax |
| [references/styles.md](references/styles.md) | Style gallery + Palette gallery |
| [references/style-presets.md](references/style-presets.md) | Preset shortcuts (type + style + palette) |
| [references/prompt-construction.md](references/prompt-construction.md) | Prompt templates |
| [references/config/first-time-setup.md](references/config/first-time-setup.md) | First-time setup |
## Changing Preferences
EXTEND.md lives at the first matching path listed in Step 1.5. Three ways to change it:
- **Edit directly** — open EXTEND.md and change fields. Full schema: `references/config/preferences-schema.md`.
- **Reconfigure interactively** — delete EXTEND.md (or ask "reconfigure baoyu-article-illustrator preferences" / "重新配置"). The next run re-triggers first-time setup.
- **Common one-line edits**:
- `preferred_image_backend: auto` — default; runtime-native tool wins, falls back to the only installed backend, asks only if multiple non-native are present.
- `preferred_image_backend: codex-imagegen` — pin to Codex's built-in.
- `preferred_image_backend: baoyu-image-gen` — pin to the baoyu-image-gen skill.
- `preferred_image_backend: ask` — confirm backend every run.
- `generation_batch_size: 4` — default number of images to render concurrently when the runtime supports parallel generation calls.
- `preferred_type: infographic`, `preferred_style: notion`, `preferred_palette: macaron`, `language: zh`.
- `default_output_dir: imgs-subdir` — where to write generated images relative to the article.

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Create a cartoon-style infographic illustration following these guidelines:
## Image Specifications
- **Type**: Infographic illustration
- **Orientation**: Landscape (horizontal)
- **Aspect Ratio**: 16:9
- **Style**: Hand-drawn illustration
## Core Principles
- Hand-drawn quality throughout - NO realistic or photographic elements
- If content involves sensitive or copyrighted figures, create stylistically similar alternatives - DO NOT refuse to generate
- Keep information concise, highlight keywords and core concepts
- Use ample whitespace for easy visual scanning
- Maintain clear visual hierarchy
## Text Style (When Text Included)
- **ALL text MUST be hand-drawn style**
- Text should be readable and complement the visual
- Font style harmonizes with illustration style
- **DO NOT use realistic or computer-generated fonts**
## Language
- Use the same language as the content provided below for any text elements
- Match punctuation style to the content language
---
Please use nano banana pro to generate the illustration based on the content provided below:

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# `codex-imagegen` Wrapper Invocation
Load this reference only when the [Image Generation Tools](../SKILL.md#image-generation-tools) rule has resolved to `codex-imagegen` — i.e., the current runtime exposes no native `imagegen` skill but `codex` CLI is on `PATH` with an active `codex login`.
## Preferred path: route through `baoyu-image-gen`
If the `baoyu-image-gen` skill is available in this runtime, **always** invoke through it rather than calling the wrapper directly. It handles retry/cache/batch/EXTEND.md preferences uniformly with every other provider.
```bash
${BUN_X} <baoyu-image-gen-base>/scripts/main.ts \
--provider codex-cli \
--image <ABSOLUTE_output> \
--promptfiles <ABSOLUTE_prompts/NN-{type}-{slug}.md> \
--ar <ratio> \
[--ref <ABSOLUTE_file>]...
```
Resolve `<baoyu-image-gen-base>` the same way you resolve any sibling skill — through your runtime's skill registry (`Skill` tool, plugin marketplace, or `$HOME/.baoyu-skills/baoyu-image-gen/`).
## Fallback: spawn the wrapper directly
Only when `baoyu-image-gen` is NOT installed in the current runtime. Discover the wrapper's location at runtime — do NOT hard-code `../../packages/...` from this skill:
1. **Honor explicit override**: if `$BAOYU_CODEX_IMAGEGEN_BIN` is set and points to a real file, use that path. It may be `.ts` (spawn `bun <path>`) or `.sh`/binary (spawn directly).
2. **Search the plugin root**: walk up from this skill's directory looking for `packages/baoyu-codex-imagegen/src/main.ts`. If found, that is the wrapper. Spawn it with `bun`.
3. **Last resort**: tell the user that `codex-imagegen` is not available in this runtime and ask whether to install the `baoyu-skills` plugin (or set `BAOYU_CODEX_IMAGEGEN_BIN`) or pick another backend.
Once located, the invocation shape is:
```bash
bun <WRAPPER>/main.ts \
--image <ABSOLUTE_output> \
--prompt-file <ABSOLUTE_prompts/NN-{type}-{slug}.md> \
--aspect <ratio> \
[--ref <ABSOLUTE_file>]... \
[--timeout <ms>] \
[--cache-dir ~/.cache/baoyu-codex-imagegen] \
[--log-file <ABSOLUTE_jsonl_log_path>]
```
If `bun` is missing, `npx -y bun <WRAPPER>/main.ts ...` works as a fallback.
## Parameter notes
- **All filesystem inputs** are auto-resolved against `process.cwd()` when relative, but agents should pass absolute paths to be robust against cwd drift.
- **`--timeout`** defaults to `300000` (5 min) per `codex exec` attempt. Raise (e.g. `--timeout 600000` for 10 min) on slow networks or large prompts.
- **`--cache-dir`** is off by default. Enable for repeatable runs to skip redundant generations of the same prompt+aspect+refs.
- **Authentication**: the wrapper uses the user's Codex subscription — no `OPENAI_API_KEY` is read or sent.
## Stdout contract
Single JSON line:
- Success: `{"status":"ok","path":"...","bytes":N,"elapsed_seconds":N,"thread_id":"...","attempts":N,"cached":bool,...}`
- Failure: `{"status":"error","path":"...","bytes":0,"error":"...","error_kind":"..."}`
`error_kind` values: `codex_not_installed`, `invalid_args`, `prompt_file_missing`, `spawn_failed`, `timeout`, `no_image_gen_tool_use`, `output_missing`, `invalid_png`, `agent_refused`, `lock_busy`.
On retryable errors (timeout, spawn_failed, no_image_gen_tool_use, output_missing, invalid_png, agent_refused), ask the user whether to retry or fall back to another backend.
## Batch semantics
- Codex `image_gen` returns **one image per call** (`n=1` only). Multi-image jobs must dispatch one wrapper call per image.
- The wrapper does NOT accept a `--sessionId` flag. Chain/scene consistency must come from `--ref` reference images.
- `--size` and `--quality` are silently ignored — Codex picks pixel dimensions from `--aspect`.

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---
name: first-time-setup
description: First-time setup flow for baoyu-article-illustrator preferences
---
# First-Time Setup
## Overview
When no EXTEND.md is found, guide user through preference setup.
**⛔ BLOCKING OPERATION**: This setup MUST complete before ANY other workflow steps. Do NOT:
- Ask about reference images
- Ask about content/article
- Ask about type or style preferences
- Proceed to content analysis
ONLY ask the questions in this setup flow, save EXTEND.md, then continue.
## Setup Flow
```
No EXTEND.md found
│
▼
┌─────────────────────┐
│ AskUserQuestion │
│ (all questions) │
└─────────────────────┘
│
▼
┌─────────────────────┐
│ Create EXTEND.md │
└─────────────────────┘
│
▼
Continue to Step 1
```
## Questions
**Language**: Use user's input language or preferred language for all questions. Do not always use English.
Use single AskUserQuestion with multiple questions (AskUserQuestion auto-adds "Other" option):
### Question 1: Watermark
```
header: "Watermark"
question: "Watermark text for generated illustrations? Type your watermark content (e.g., name, @handle)"
options:
- label: "No watermark (Recommended)"
description: "No watermark, can enable later in EXTEND.md"
```
Position defaults to bottom-right.
### Question 2: Preferred Style
```
header: "Style"
question: "Default illustration style preference? Or type another style name or your custom style"
options:
- label: "sketch-notes (Recommended)"
description: "Warm cream paper, black hand-drawn lines, soft pastel blocks — educational infographic feel. Great default for most articles."
- label: "None"
description: "Auto-select based on content analysis (falls back to sketch-notes when no strong signal)"
- label: "notion"
description: "Minimalist hand-drawn line art"
- label: "warm"
description: "Friendly, approachable, personal"
```
### Question 3: Output Directory
```
header: "Output Directory"
question: "Where to save generated illustrations when illustrating a file?"
options:
- label: "imgs-subdir (Recommended)"
description: "{article-dir}/imgs/ — images in a subdirectory next to the article"
- label: "same-dir"
description: "{article-dir}/ — images alongside the article file"
- label: "illustrations-subdir"
description: "{article-dir}/illustrations/ — separate illustrations subdirectory"
- label: "independent"
description: "illustrations/{topic-slug}/ — standalone directory in cwd"
```
### Question 4: Save Location
```
header: "Save"
question: "Where to save preferences?"
options:
- label: "Project"
description: ".baoyu-skills/ (this project only)"
- label: "User"
description: "~/.baoyu-skills/ (all projects)"
```
## Save Locations
| Choice | Path | Scope |
|--------|------|-------|
| Project | `.baoyu-skills/baoyu-article-illustrator/EXTEND.md` | Current project |
| User | `~/.baoyu-skills/baoyu-article-illustrator/EXTEND.md` | All projects |
## After Setup
1. Create directory if needed
2. Write EXTEND.md with frontmatter
3. Confirm: "Preferences saved to [path]"
4. Continue to Step 1
## EXTEND.md Template
```yaml
---
version: 1
watermark:
enabled: [true/false]
content: "[user input or empty]"
position: bottom-right
opacity: 0.7
preferred_style:
name: [selected style or null]
description: ""
default_output_dir: imgs-subdir # same-dir | imgs-subdir | illustrations-subdir | independent
language: null
preferred_image_backend: auto
generation_batch_size: 4
custom_styles: []
---
```
`preferred_image_backend: auto` is the baked-in default — first-time setup does not ask about it. The `## Image Generation Tools` rule in SKILL.md then picks the runtime-native tool (Codex `imagegen`, Hermes `image_generate`, etc.) when available, and falls back to installed backends.
`generation_batch_size: 4` is the baked-in default for batch rendering. The current user request may override it for one run.
## Modifying Preferences Later
See the `## Changing Preferences` section in `SKILL.md` for the canonical list of common edits (pin backend, change defaults, retrigger setup). Full schema: `preferences-schema.md`.

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---
name: preferences-schema
description: EXTEND.md YAML schema for baoyu-article-illustrator user preferences
---
# Preferences Schema
## Full Schema
```yaml
---
version: 1
watermark:
enabled: false
content: ""
position: bottom-right # bottom-right|bottom-left|bottom-center|top-right
preferred_style:
name: null # Built-in or custom style name
description: "" # Override/notes
preferred_palette: null # Built-in palette name (macaron|warm|neon) or null
language: null # zh|en|ja|ko|auto
default_output_dir: null # same-dir|illustrations-subdir|independent
preferred_image_backend: auto # auto|ask|<backend-id>
generation_batch_size: 4 # 1-8, used when backend/runtime supports batch or parallel generation
custom_styles:
- name: my-style
description: "Style description"
color_palette:
primary: ["#1E3A5F", "#4A90D9"]
background: "#F5F7FA"
accents: ["#00B4D8", "#48CAE4"]
visual_elements: "Clean lines, geometric shapes"
typography: "Modern sans-serif"
best_for: "Business, education"
---
```
## Field Reference
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `version` | int | 1 | Schema version |
| `watermark.enabled` | bool | false | Enable watermark |
| `watermark.content` | string | "" | Watermark text (@username or custom) |
| `watermark.position` | enum | bottom-right | Position on image |
| `preferred_style.name` | string | null | Style name or null |
| `preferred_style.description` | string | "" | Custom notes/override |
| `preferred_palette` | string | null | Palette override (macaron, warm, neon, or null) |
| `language` | string | null | Output language (null = auto-detect) |
| `default_output_dir` | enum | null | Output directory preference (null = ask each time) |
| `preferred_image_backend` | string | `auto` | Image backend selection. `auto` = prefer runtime-native tool, fall back to the only installed backend, ask if multiple non-native are present. `ask` = always confirm on every run. `<backend-id>` (e.g., `codex-imagegen`, `baoyu-image-gen`, `image_generate`) = pin this backend when available; fall back to `auto` when it isn't. Absent = `auto`. Resolution logic is documented in `SKILL.md`'s `## Image Generation Tools` section. |
| `generation_batch_size` | int | 4 | Number of images to dispatch per batch when the backend has native batch support or the runtime can issue parallel generation calls. Clamp invalid values to 1-8. Current user request overrides this value. |
| `custom_styles` | array | [] | User-defined styles |
## Position Options
| Value | Description |
|-------|-------------|
| `bottom-right` | Lower right corner (default, most common) |
| `bottom-left` | Lower left corner |
| `bottom-center` | Bottom center |
| `top-right` | Upper right corner |
## Output Directory Options
| Value | Description |
|-------|-------------|
| `same-dir` | Same directory as article |
| `illustrations-subdir` | `{article-dir}/illustrations/` subdirectory |
| `independent` | `illustrations/{topic-slug}/` in working directory |
## Custom Style Fields
| Field | Required | Description |
|-------|----------|-------------|
| `name` | Yes | Unique style identifier (kebab-case) |
| `description` | Yes | What the style conveys |
| `color_palette.primary` | No | Main colors (array) |
| `color_palette.background` | No | Background color |
| `color_palette.accents` | No | Accent colors (array) |
| `visual_elements` | No | Decorative elements |
| `typography` | No | Font/lettering style |
| `best_for` | No | Recommended content types |
## Example: Minimal Preferences
```yaml
---
version: 1
watermark:
enabled: true
content: "@myusername"
preferred_style:
name: notion
---
```
## Example: Full Preferences
```yaml
---
version: 1
watermark:
enabled: true
content: "@myaccount"
position: bottom-right
preferred_style:
name: notion
description: "Clean illustrations for tech articles"
language: zh
preferred_image_backend: codex-imagegen
generation_batch_size: 4
custom_styles:
- name: corporate
description: "Professional B2B style"
color_palette:
primary: ["#1E3A5F", "#4A90D9"]
background: "#F5F7FA"
accents: ["#00B4D8", "#48CAE4"]
visual_elements: "Clean lines, subtle gradients, geometric shapes"
typography: "Modern sans-serif, professional"
best_for: "Business, SaaS, enterprise"
---
```

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# macaron
Soft macaron pastel color blocks on warm cream
## Background
- Color: Warm Cream (#F5F0E8)
- Texture: Subtle warm paper grain
## Colors
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Warm Cream | #F5F0E8 | Primary background |
| Primary Text | Deep Charcoal | #2D2D2D | Headlines, main text, outlines |
| Macaron Blue | Sky Blue | #A8D8EA | Info block fill, cool-toned zones |
| Macaron Mint | Mint Green | #B5E5CF | Info block fill, growth/positive zones |
| Macaron Lavender | Lavender | #D5C6E0 | Info block fill, abstract/concept zones |
| Macaron Peach | Peach | #FFD5C2 | Info block fill, warm-toned zones |
| Accent | Coral Red | #E8655A | Key data, warnings, emphasis |
| Muted Text | Warm Gray | #6B6B6B | Secondary annotations, small labels |
## Accent
Coral Red (#E8655A) for key data, warnings, and emphasis highlights. Use sparingly — one or two elements per illustration.
## Semantic Constraint
Soft pastel macaron color palette. Use block colors as rounded card backgrounds for distinct information sections. Accent coral red sparingly for emphasis on key terms only. Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
Educational content, knowledge sharing, concept explainers, tutorials, tech summaries, onboarding materials

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# mono-ink
Black ink on pure white with sparse semantic accent colors
## Background
- Color: Pure White (#FFFFFF)
- Texture: Clean, no grain, no tint
## Colors
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Pure White | #FFFFFF | Canvas |
| Primary | Near Black | #1A1A1A | All lines, text, figures, arrows |
| Accent (risk/emphasis) | Coral Red | #E8655A | Risk, problem, gap, key emphasis |
| Accent (positive) | Muted Teal | #5FA8A8 | Positive, solution, "after" state |
| Accent (neutral tag) | Dusty Lavender | #9B8AB5 | Neutral tags, category labels |
| Soft Fill | Pale Gray | #F0F0F0 | Subtle zone backgrounds (optional) |
## Accent
Use black ink for all structural elements — lines, text, figures. Accent colors appear only for semantic highlighting: coral red for risks/gaps/problems, muted teal for positive/solution/after-states, dusty lavender for neutral category tags. Total colored pixels must remain under 10% of canvas. Pale gray may back a subtle zone but must never dominate.
## Semantic Constraint
Black ink on white canvas. Accent colors for semantic highlighting only — total colored pixels under 10% of canvas. Do NOT render color names, hex codes, or role labels as visible text in the image.
## Compatible With
- `ink-notes` (primary, default pairing)
- `minimal` (strict monochrome variation, drops the style's built-in accent)
- `sketch` (pencil + ink hybrid look)
## Not Recommended With
- `sketch-notes` — its "no pure white backgrounds" rule conflicts
- `warm`, `elegant`, `watercolor`, `fantasy-animation` — color-heavy by design, mono-ink strips their identity
## Best For
Professional visual notes, Before/After essays, tech manifestos, framework analogies, whiteboard-presentation explainers

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# neon
Vibrant neon colors on dark backgrounds
## Background
- Color: Deep Purple (#2D1B4E)
- Texture: Subtle grid pattern or solid dark
## Colors
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Deep Purple | #2D1B4E | Primary background |
| Alt Background | Dark Teal | #0F4C5C | Alternative sections |
| Primary | Hot Pink | #FF1493 | Main accent |
| Secondary | Electric Cyan | #00FFFF | Supporting elements |
| Tertiary | Neon Yellow | #FFFF00 | Highlights |
| Accent 1 | Lime Green | #32CD32 | Energy, success |
| Accent 2 | Orange | #FF6B35 | Warmth |
| Text | White | #FFFFFF | Text elements |
## Accent
Hot Pink (#FF1493) for primary emphasis. High contrast neon-on-dark creates immediate visual impact.
## Semantic Constraint
Vibrant neon-on-dark palette. High contrast, immediate visual impact. Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
Gaming, retro tech, 80s/90s nostalgic content, bold editorial, trend and pop culture

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# warm
Warm earth tones on soft peach, no cool colors
## Background
- Color: Soft Peach (#FFECD2)
- Texture: Warm paper texture
## Colors
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Soft Peach | #FFECD2 | Primary background |
| Outlines | Deep Charcoal | #2D2D2D | All element outlines |
| Primary | Warm Orange | #ED8936 | Main accent color |
| Secondary | Terracotta | #C05621 | Warm depth |
| Tertiary | Golden Yellow | #F6AD55 | Highlights, energy |
| Accent | Deep Brown | #744210 | Grounding, anchoring |
| Text | Warm Charcoal | #4A4A4A | Text elements |
## Accent
Warm Orange (#ED8936) for primary emphasis. Warm-only palette — no cool colors (no green, blue, purple). Modern-retro feel.
## Semantic Constraint
Warm earth tone palette. Warm-only — no cool colors (no green, blue, purple). Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
Product showcases, team introductions, feature grids, brand content, personal growth, lifestyle

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# Prompt Construction
## Prompt File Format
Each prompt file uses YAML frontmatter + content:
```yaml
---
illustration_id: 01
type: infographic
style: blueprint
references: # ⚠️ ONLY if files EXIST in references/ directory
- ref_id: 01
filename: 01-ref-diagram.png
usage: direct # direct | style | palette
---
[Type-specific template content below...]
```
**⚠️ CRITICAL - When to include `references` field**:
| Situation | Action |
|-----------|--------|
| Reference file saved to `references/` | Include in frontmatter ✓ |
| Style extracted verbally (no file) | DO NOT include in frontmatter, append to prompt body instead |
| File path in frontmatter but file doesn't exist | ERROR - remove references field |
**Reference Usage Types** (only when file exists):
| Usage | Description | Generation Action |
|-------|-------------|-------------------|
| `direct` | Primary visual reference | Pass to `--ref` parameter |
| `style` | Style characteristics only | Describe style in prompt text |
| `palette` | Color palette extraction | Include colors in prompt |
**If no reference file but style/palette extracted verbally**, append directly to prompt body:
```
COLORS (from reference):
- Primary: #E8756D coral
- Secondary: #7ECFC0 mint
...
STYLE (from reference):
- Clean lines, minimal shadows
- Gradient backgrounds
...
```
---
## Default Composition Requirements
**Apply to ALL prompts by default**:
| Requirement | Description |
|-------------|-------------|
| **Clean composition** | Simple layouts, no visual clutter |
| **White space** | Generous margins, breathing room around elements |
| **No complex backgrounds** | Solid colors or subtle gradients only, avoid busy textures |
| **Centered or content-appropriate** | Main visual elements centered or positioned by content needs |
| **Matching graphics** | Use graphic elements that align with content theme |
| **Highlight core info** | White space draws attention to key information |
**Add to ALL prompts**:
> Clean composition with generous white space. Simple or no background. Main elements centered or positioned by content needs.
---
## Color Specification Rules
Colors in prompts use hex codes for **rendering guidance only** — they tell the model which colors to use, NOT what text to display.
**⚠️ CRITICAL**: Image generation models sometimes render color names and hex values as visible text labels in the image (e.g., painting "Macaron Blue #A8D8EA" as a label). This must be prevented.
**Add to ALL prompts that contain a COLORS section**:
> Color values (#hex) and color names are rendering guidance only — do NOT display color names, hex codes, or palette labels as visible text in the image.
---
## Character Rendering
When depicting people:
| Guideline | Description |
|-----------|-------------|
| **Style** | Simplified cartoon silhouettes or symbolic expressions |
| **Avoid** | Realistic human portrayals, detailed faces |
| **Diversity** | Varied body types when showing multiple people |
| **Emotion** | Express through posture and simple gestures |
**Add to ALL prompts with human figures**:
> Human figures: simplified stylized silhouettes or symbolic representations, not photorealistic.
---
## Text in Illustrations
| Element | Guideline |
|---------|-----------|
| **Size** | Large, prominent, immediately readable |
| **Style** | Handwritten fonts preferred for warmth |
| **Content** | Concise keywords and core concepts only |
| **Language** | Match article language |
**Add to prompts with text**:
> Text should be large and prominent with handwritten-style fonts. Keep minimal, focus on keywords.
---
## Principles
Good prompts must include:
1. **Layout Structure First**: Describe composition, zones, flow direction
2. **Specific Data/Labels**: Use actual numbers, terms from article
3. **Visual Relationships**: How elements connect
4. **Semantic Colors**: Meaning-based color choices (red=warning, green=efficient)
5. **Style Characteristics**: Line treatment, texture, mood
6. **Aspect Ratio**: End with ratio and complexity level
## Type-Specific Templates
### Infographic
```
[Title] - Data Visualization
Layout: [grid/radial/hierarchical]
ZONES:
- Zone 1: [data point with specific values]
- Zone 2: [comparison with metrics]
- Zone 3: [summary/conclusion]
LABELS: [specific numbers, percentages, terms from article]
COLORS: [semantic color mapping]
STYLE: [style characteristics]
ASPECT: 16:9
```
**Infographic + sketch-notes + macaron palette** (default / `hand-drawn-edu` preset):
```
Single-page hand-drawn educational infographic in a clean presentation style.
Warm cream paper background, black hand-drawn lines with slight wobble, soft
pastel color blocks. Feels simple, friendly, and easy to understand at a glance.
Diagram-style visuals ONLY — no realistic or photographic images.
PALETTE: macaron — soft pastel blocks on warm cream
COLORS: Warm Cream background (#F5F0E8); Black (#1A1A1A) for ALL lines, text,
arrows, and doodles; section fills in Light Blue (#A8D8EA), Mint Green
(#B5E5CF), Lavender (#D5C6E0), Peach (#FFD5C2); Coral Red (#E8655A)
sparingly for one or two emphasis points only.
LAYOUT (top → bottom):
- TOP: Bold hand-lettered title, oversized, slightly wobbly, with an optional
decorative underline or small doodle.
- MIDDLE: 2–6 rounded-rectangle info boxes arranged in a clean grid, row, or
radial pattern. Each box = one section, one pastel fill color, one
simple icon or sketchy cartoon element, one short keyword/phrase.
Hand-drawn arrows connect related zones.
- BOTTOM: One short hand-lettered takeaway sentence summarizing the main idea.
ELEMENTS: Rounded info boxes with clear sectioning, wavy/straight hand-drawn
arrows with small inline labels, simple icons and sketchy cartoon
elements (stick figures, tools, objects), small doodle decorations
(stars, sparkles, underlines, dots, asterisks) used sparingly.
STYLE: Minimal, well-organized, airy. Color fills don't completely fill
outlines (slight "hand-painted" overshoot). ALL text hand-lettered —
no computer fonts. Short labels and keywords only, never long
paragraphs. Generous white space between sections.
```
**Infographic + vector-illustration**:
```
Flat vector illustration infographic. Clean black outlines on all elements.
COLORS: Cream background (#F5F0E6), Coral Red (#E07A5F), Mint Green (#81B29A), Mustard Yellow (#F2CC8F)
ELEMENTS: Geometric simplified icons, no gradients, playful decorative elements (dots, stars)
```
**Infographic + vector-illustration + warm palette**:
```
Flat vector illustration infographic. Clean black outlines on all elements.
PALETTE OVERRIDE (warm): Warm-only color palette, no cool colors.
COLORS: Soft Peach background (#FFECD2), Warm Orange (#ED8936),
Terracotta (#C05621), Golden Yellow (#F6AD55), Deep Brown (#744210)
ELEMENTS: Geometric simplified icons, no gradients, rounded corners,
modular card layout, consistent icon style
```
### Scene
```
[Title] - Atmospheric Scene
FOCAL POINT: [main subject]
ATMOSPHERE: [lighting, mood, environment]
MOOD: [emotion to convey]
COLOR TEMPERATURE: [warm/cool/neutral]
STYLE: [style characteristics]
ASPECT: 16:9
```
### Flowchart
```
[Title] - Process Flow
Layout: [left-right/top-down/circular]
STEPS:
1. [Step name] - [brief description]
2. [Step name] - [brief description]
...
CONNECTIONS: [arrow types, decision points]
STYLE: [style characteristics]
ASPECT: 16:9
```
**Flowchart + vector-illustration**:
```
Flat vector flowchart with bold arrows and geometric step containers.
COLORS: Cream background (#F5F0E6), steps in Coral/Mint/Mustard, black outlines
ELEMENTS: Rounded rectangles, thick arrows, simple icons per step
```
**Flowchart + sketch-notes + macaron palette**:
```
Hand-drawn educational flowchart on warm cream paper. Slight wobble on all lines.
PALETTE: macaron — soft pastel color blocks
COLORS: Warm Cream background (#F5F0E8), zone fills in Macaron Blue (#A8D8EA),
Lavender (#D5C6E0), Mint (#B5E5CF), Coral Red (#E8655A) for emphasis
ELEMENTS: Rounded cards with dashed/solid borders, wavy hand-drawn arrows with labels,
simple stick-figure characters, doodle decorations (stars, underlines)
STYLE: Color fills don't completely fill outlines, hand-drawn lettering, generous white space
```
**Flowchart + ink-notes + mono-ink palette**:
```
Professional hand-drawn visual-note flowchart on pure white. Black ink line work
with slight wobble, à la Mike Rohde sketchnoting.
PALETTE: mono-ink — black ink dominant, sparse semantic accents
COLORS: Pure White background (#FFFFFF), Near Black (#1A1A1A) for all lines,
text, and figures; Coral Red (#E8655A) only for risk/emphasis,
Muted Teal (#5FA8A8) only for positive/solution states
ELEMENTS: Left-to-right stage boxes with rounded-rect frames, wavy hand-drawn
arrows between stages, simple stick-figure characters with role
labels above (e.g., "ML Engineer", "Team Lead"), dashed-border box
for future/empty stage, small doodle icons per stage
STYLE: Hand-lettered titles (bold, oversized), handwritten stage labels and
annotations, generous white space, bottom tagline summarizing takeaway
```
### Comparison
```
[Title] - Comparison View
LEFT SIDE - [Option A]:
- [Point 1]
- [Point 2]
RIGHT SIDE - [Option B]:
- [Point 1]
- [Point 2]
DIVIDER: [visual separator]
STYLE: [style characteristics]
ASPECT: 16:9
```
**Comparison + vector-illustration**:
```
Flat vector comparison with split layout. Clear visual separation.
COLORS: Left side Coral (#E07A5F), Right side Mint (#81B29A), cream background
ELEMENTS: Bold icons, black outlines, centered divider line
```
**Comparison + vector-illustration + warm palette**:
```
Flat vector comparison with split layout. Clear visual separation.
PALETTE OVERRIDE (warm): Warm-only color palette, no cool colors.
COLORS: Left side Warm Orange (#ED8936), Right side Terracotta (#C05621),
Soft Peach background (#FFECD2), Deep Brown (#744210) accents
ELEMENTS: Bold icons, black outlines, centered divider line
```
**Comparison + ink-notes + mono-ink palette** (Before/After, Traditional vs New):
```
Professional hand-drawn sketchnote comparison on pure white. Black ink line work
with slight wobble, à la Mike Rohde sketchnoting.
PALETTE: mono-ink — black ink dominant, sparse semantic accents
COLORS: Pure White background (#FFFFFF), Near Black (#1A1A1A) for all outlines,
text, figures, arrows; Coral Red (#E8655A) reserved for risks/gaps
(left/Before side); Muted Teal (#5FA8A8) reserved for positives
(right/After side). Color accents under 10% of canvas.
LAYOUT: Left | Right split with vertical hand-drawn divider. Hand-lettered
"Before" label (top-left) and "After" label (top-right).
LEFT SIDE: Stick figure(s) with role label above, speech bubble showing the
pain point, bulleted pain-point list in handwritten text.
RIGHT SIDE: Stick figure(s) showing the new state, bulleted improvement list,
small positive-action icons.
BRIDGE: Curved hand-drawn "mindset shift" arrow bridging left → right with
small inline label describing the shift.
BOTTOM: Single-line hand-lettered tagline summarizing the takeaway.
STYLE: Hand-lettered headings (bold, oversized), handwritten body annotations,
generous white space, no computer fonts, no gradients, no shadows.
```
### Framework
```
[Title] - Conceptual Framework
STRUCTURE: [hierarchical/network/matrix]
NODES:
- [Concept 1] - [role]
- [Concept 2] - [role]
RELATIONSHIPS: [how nodes connect]
STYLE: [style characteristics]
ASPECT: 16:9
```
**Framework + vector-illustration**:
```
Flat vector framework diagram with geometric nodes and bold connectors.
COLORS: Cream background (#F5F0E6), nodes in Coral/Mint/Mustard/Blue, black outlines
ELEMENTS: Rounded rectangles or circles for nodes, thick connecting lines
```
**Framework + vector-illustration + warm palette**:
```
Flat vector framework diagram with geometric nodes and bold connectors.
PALETTE OVERRIDE (warm): Warm-only color palette, no cool colors.
COLORS: Soft Peach background (#FFECD2), nodes in Warm Orange (#ED8936),
Terracotta (#C05621), Golden Yellow (#F6AD55), black outlines
ELEMENTS: Rounded rectangles or circles for nodes, thick connecting lines
```
**Framework + ink-notes + mono-ink palette** (command center, OS analogy):
```
Professional hand-drawn sketchnote framework on pure white. Black ink line work
with slight wobble, à la Mike Rohde sketchnoting.
PALETTE: mono-ink — black ink dominant, sparse semantic accents
COLORS: Pure White background (#FFFFFF), Near Black (#1A1A1A) for all lines,
text, figures; Dusty Lavender (#9B8AB5) for neutral category tags only;
Coral Red (#E8655A) for emphasis sparingly. Color accents under 10%.
STRUCTURE: Central rounded-rectangle frame as "the system" with hand-lettered
title inside. Inner layer of labeled sub-components (node labels
above each). Outer layer of feeder arrows from stick-figure
operators/users with role labels.
ELEMENTS: Stick figures at the edges with role tags ("Team Lead", "Operator"),
wavy hand-drawn connector arrows with small inline labels, small
doodle icons per component, dashed-border placeholder(s) for
future/empty capabilities.
BOTTOM: Single-line hand-lettered tagline.
STYLE: Hand-lettered headings, handwritten annotations, generous white space,
no computer fonts, no gradients.
```
### Timeline
```
[Title] - Chronological View
DIRECTION: [horizontal/vertical]
EVENTS:
- [Date/Period 1]: [milestone]
- [Date/Period 2]: [milestone]
MARKERS: [visual indicators]
STYLE: [style characteristics]
ASPECT: 16:9
```
### Screen-Print Style Override
When `style: screen-print`, replace standard style instructions with:
```
Screen print / silkscreen poster art. Flat color blocks, NO gradients.
COLORS: 2-5 colors maximum. [Choose from style palette or duotone pair]
TEXTURE: Halftone dot patterns, slight color layer misregistration, paper grain
COMPOSITION: Bold silhouettes, geometric framing, negative space as storytelling element
FIGURES: Silhouettes only, no detailed faces, stencil-cut edges
TYPOGRAPHY: Bold condensed sans-serif integrated into composition (not overlaid)
```
**Scene + screen-print**:
```
Conceptual poster scene. Single symbolic focal point, NOT literal illustration.
COLORS: Duotone pair (e.g., Burnt Orange #E8751A + Deep Teal #0A6E6E) on Off-Black #121212
COMPOSITION: Centered silhouette or geometric frame, 60%+ negative space
TEXTURE: Halftone dots, paper grain, slight print misregistration
```
**Comparison + screen-print**:
```
Split poster composition. Each side dominated by one color from duotone pair.
LEFT: [Color A] side with silhouette/icon for [Option A]
RIGHT: [Color B] side with silhouette/icon for [Option B]
DIVIDER: Geometric shape or negative space boundary
TEXTURE: Halftone transitions between sides
```
---
## Palette Override
When a palette is specified (via `--palette` or preset), it overrides the style's default colors:
1. Read style file → get rendering rules (Visual Elements, Style Rules, line treatment)
2. Read palette file (`palettes/<palette>.md`) → get Colors + Background
3. Palette Colors **replace** style's default Color Palette in prompt
4. Palette Background **replaces** style's Background color (keep style's texture description)
5. Build prompt: style rendering instructions + palette colors
**Prompt frontmatter** includes palette when specified:
```yaml
---
illustration_id: 01
type: infographic
style: vector-illustration
palette: macaron
---
```
**Example**: `vector-illustration` + `macaron` palette:
```
Flat vector illustration infographic. Clean black outlines on all elements.
PALETTE: macaron — soft pastel color blocks
COLORS: Warm Cream background (#F5F0E8), Macaron Blue (#A8D8EA), Mint (#B5E5CF),
Lavender (#D5C6E0), Peach (#FFD5C2), Coral Red (#E8655A) for emphasis
ELEMENTS: Geometric simplified icons, no gradients, playful decorative elements
```
When no palette is specified, use the style's built-in Color Palette as before.
---
## What to Avoid
- Vague descriptions ("a nice image")
- Literal metaphor illustrations
- Missing concrete labels/annotations
- Generic decorative elements
## Watermark Integration
If watermark enabled in preferences, append:
```
Include a subtle watermark "[content]" positioned at [position].
```

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# Style Presets
`--preset X` expands to a type + style + optional palette combination. Users can override any dimension.
## Default Preset
When content analysis surfaces no strong signal (generic knowledge article, mixed-topic post, no clear data/comparison/narrative cue), recommend **`hand-drawn-edu`** as the primary option in Step 3 Q1. It is the warm, friendly educational-infographic default — safe for most articles and universally readable.
## By Category
### Technical & Engineering
| --preset | Type | Style | Palette | Best For |
|----------|------|-------|---------|----------|
| `tech-explainer` | `infographic` | `blueprint` | — | API docs, system metrics, technical deep-dives |
| `system-design` | `framework` | `blueprint` | — | Architecture diagrams, system design |
| `architecture` | `framework` | `vector-illustration` | — | Component relationships, module structure |
| `science-paper` | `infographic` | `scientific` | — | Research findings, lab results, academic |
### Knowledge & Education
| --preset | Type | Style | Palette | Best For |
|----------|------|-------|---------|----------|
| `knowledge-base` | `infographic` | `vector-illustration` | — | Concept explainers, tutorials, how-to |
| `saas-guide` | `infographic` | `notion` | — | Product guides, SaaS docs, tool walkthroughs |
| `tutorial` | `flowchart` | `vector-illustration` | — | Step-by-step tutorials, setup guides |
| `process-flow` | `flowchart` | `notion` | — | Workflow documentation, onboarding flows |
| `warm-knowledge` | `infographic` | `vector-illustration` | `warm` | Product showcases, team intros, feature cards, brand content |
| `edu-visual` | `infographic` | `vector-illustration` | `macaron` | Knowledge summaries, concept explainers, educational articles |
| `hand-drawn-edu` | `infographic` | `sketch-notes` | `macaron` | **Default preset.** Hand-drawn educational infographic — warm cream paper, black lines, pastel blocks. Great for single-page explainers, concept summaries, onboarding, general knowledge articles |
| `hand-drawn-edu-flow` | `flowchart` | `sketch-notes` | `macaron` | Hand-drawn process explainer — step-by-step workflow in the same warm educational style |
| `hand-drawn-edu-compare` | `comparison` | `sketch-notes` | `macaron` | Hand-drawn side-by-side comparison in the warm educational style |
| `ink-notes-compare` | `comparison` | `ink-notes` | `mono-ink` | Before/After essays, Traditional vs New, OS-style comparisons, mindset-shift narratives |
| `ink-notes-flow` | `flowchart` | `ink-notes` | `mono-ink` | Professional process explainers, workforce pipelines, hand-drawn technical walkthroughs |
| `ink-notes-framework` | `framework` | `ink-notes` | `mono-ink` | System analogies, command-center diagrams, architecture-as-metaphor, tech manifestos |
### Data & Analysis
| --preset | Type | Style | Palette | Best For |
|----------|------|-------|---------|----------|
| `data-report` | `infographic` | `editorial` | — | Data journalism, metrics reports, dashboards |
| `versus` | `comparison` | `vector-illustration` | — | Tech comparisons, framework shootouts |
| `business-compare` | `comparison` | `elegant` | — | Product evaluations, strategy options |
### Narrative & Creative
| --preset | Type | Style | Palette | Best For |
|----------|------|-------|---------|----------|
| `storytelling` | `scene` | `warm` | — | Personal essays, reflections, growth stories |
| `lifestyle` | `scene` | `watercolor` | — | Travel, wellness, lifestyle, creative |
| `history` | `timeline` | `elegant` | — | Historical overviews, milestones |
| `evolution` | `timeline` | `warm` | — | Progress narratives, growth journeys |
### Editorial & Opinion
| --preset | Type | Style | Palette | Best For |
|----------|------|-------|---------|----------|
| `opinion-piece` | `scene` | `screen-print` | — | Op-eds, commentary, critical essays |
| `editorial-poster` | `comparison` | `screen-print` | — | Debate, contrasting viewpoints |
| `cinematic` | `scene` | `screen-print` | — | Dramatic narratives, cultural essays |
## Content Type → Preset Recommendations
Use this table during Step 3 to recommend presets based on Step 2 content analysis:
| Content Type (Step 2) | Primary Preset | Alternatives |
|------------------------|----------------|--------------|
| **General / No strong signal** | `hand-drawn-edu` | `edu-visual`, `knowledge-base` |
| Education / Knowledge | `hand-drawn-edu` | `edu-visual`, `knowledge-base`, `tutorial` |
| Tutorial | `hand-drawn-edu-flow` | `tutorial`, `process-flow`, `hand-drawn-edu` |
| SaaS / Product | `hand-drawn-edu` | `saas-guide`, `knowledge-base`, `process-flow`, `warm-knowledge` |
| Technical | `tech-explainer` | `system-design`, `architecture`, `hand-drawn-edu` |
| Methodology / Framework | `system-design` | `architecture`, `process-flow` |
| Data / Metrics | `data-report` | `versus`, `tech-explainer` |
| Comparison / Review | `versus` | `business-compare`, `hand-drawn-edu-compare`, `editorial-poster`, `ink-notes-compare` |
| Manifesto / Mindset shift / Professional visual note | `ink-notes-compare` | `ink-notes-framework`, `ink-notes-flow` |
| Narrative / Personal | `storytelling` | `lifestyle`, `evolution` |
| Opinion / Editorial | `opinion-piece` | `cinematic`, `editorial-poster` |
| Historical / Timeline | `history` | `evolution` |
| Academic / Research | `science-paper` | `tech-explainer`, `data-report` |
## Override Examples
- `--preset tech-explainer --style notion` = infographic type with notion style
- `--preset storytelling --type timeline` = timeline type with warm style
Explicit `--type`/`--style` flags always override preset values.

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# Style Reference
## Core Styles
Simplified style tier for quick selection:
| Core Style | Maps To | Best For |
|------------|---------|----------|
| `hand-drawn` | sketch-notes | **Default.** Warm cream paper, black hand-drawn lines, pastel blocks — educational infographics, concept explainers, onboarding, general knowledge articles |
| `vector` | vector-illustration | Knowledge articles, tutorials, tech content |
| `minimal-flat` | notion | General, knowledge sharing, SaaS |
| `sci-fi` | blueprint | AI, frontier tech, system design |
| `editorial` | editorial | Processes, data, journalism |
| `scene` | warm/watercolor | Narratives, emotional, lifestyle |
| `poster` | screen-print | Opinion, editorial, cultural, cinematic |
Use Core Styles for most cases. **When no strong content signal is detected, default to `hand-drawn` (→ sketch-notes).** See full Style Gallery below for granular control.
---
## Style Gallery
| Style | Description | Best For |
|-------|-------------|----------|
| `vector-illustration` | Clean flat vector art with bold shapes | Knowledge articles, tutorials, tech content |
| `notion` | Minimalist hand-drawn line art | Knowledge sharing, SaaS, productivity |
| `elegant` | Refined, sophisticated | Business, thought leadership |
| `warm` | Friendly, approachable | Personal growth, lifestyle, education |
| `minimal` | Ultra-clean, zen-like | Philosophy, minimalism, core concepts |
| `blueprint` | Technical schematics | Architecture, system design, engineering |
| `watercolor` | Soft artistic with natural warmth | Lifestyle, travel, creative |
| `editorial` | Magazine-style infographic | Tech explainers, journalism |
| `scientific` | Academic precise diagrams | Biology, chemistry, technical research |
| `chalkboard` | Classroom chalk drawing style | Education, teaching, explanations |
| `fantasy-animation` | Ghibli/Disney-inspired hand-drawn | Storybook, magical, emotional |
| `flat` | Modern bold geometric shapes | Modern digital, contemporary |
| `flat-doodle` | Cute flat with bold outlines | Cute, friendly, approachable |
| `intuition-machine` | Technical briefing with aged paper | Technical briefings, academic |
| `nature` | Organic earthy illustration | Environmental, wellness |
| `pixel-art` | Retro 8-bit gaming aesthetic | Gaming, retro tech |
| `playful` | Whimsical pastel doodles | Fun, casual, educational |
| `retro` | 80s/90s neon geometric | 80s/90s nostalgic, bold |
| `sketch` | Raw pencil notebook style | Brainstorming, creative exploration |
| `screen-print` | Bold poster art, halftone textures, limited colors | Opinion, editorial, cultural, cinematic |
| `sketch-notes` | Soft hand-drawn warm notes | Educational, warm notes |
| `ink-notes` | Black ink on pure white, sparse semantic accents, hand-lettered (à la Mike Rohde's sketchnoting) | Before/After essays, tech manifestos, framework analogies |
| `vintage` | Aged parchment historical | Historical, heritage |
Full specifications: `references/styles/<style>.md`
## Type × Style Compatibility Matrix
| | sketch-notes | vector-illustration | notion | warm | minimal | blueprint | watercolor | elegant | editorial | scientific | screen-print |
|---|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
| infographic | ✓✓ | ✓✓ | ✓✓ | ✓ | ✓✓ | ✓✓ | ✓ | ✓✓ | ✓✓ | ✓✓ | ✓ |
| scene | ✗ | ✓ | ✓ | ✓✓ | ✓ | ✗ | ✓✓ | ✓ | ✓ | ✗ | ✓✓ |
| flowchart | ✓✓ | ✓✓ | ✓✓ | ✓ | ✓ | ✓✓ | ✗ | ✓ | ✓✓ | ✓ | ✗ |
| comparison | ✓✓ | ✓✓ | ✓✓ | ✓ | ✓✓ | ✓ | ✓ | ✓✓ | ✓✓ | ✓ | ✓ |
| framework | ✓✓ | ✓✓ | ✓✓ | ✓ | ✓✓ | ✓✓ | ✗ | ✓✓ | ✓ | ✓✓ | ✓ |
| timeline | ✓ | ✓ | ✓✓ | ✓ | ✓ | ✓ | ✓✓ | ✓✓ | ✓✓ | ✓ | ✓ |
✓✓ = highly recommended | ✓ = compatible | ✗ = not recommended
## Auto Selection by Type
When no content signal matches strongly, `sketch-notes` is the default primary for every diagrammatic type. Only override with another primary when the content analysis in Step 2 surfaces a clear signal (technical/data/narrative/opinion).
| Type | Primary Style | Secondary Styles |
|------|---------------|------------------|
| infographic | sketch-notes | vector-illustration, notion, blueprint, editorial |
| scene | warm | watercolor, elegant |
| flowchart | sketch-notes | vector-illustration, notion, blueprint |
| comparison | sketch-notes | vector-illustration, notion, elegant |
| framework | sketch-notes | blueprint, vector-illustration, notion |
| timeline | elegant | sketch-notes, warm, editorial |
## Auto Selection by Content Signals
| Content Signals | Recommended Type | Recommended Style |
|-----------------|------------------|-------------------|
| **(no strong signal / general article)** | **infographic** | **sketch-notes** |
| Knowledge, concept, tutorial, learning, guide, onboarding | infographic | sketch-notes, vector-illustration, notion |
| Productivity, SaaS, tool, app, software | infographic | sketch-notes, notion, vector-illustration |
| How-to, steps, workflow, process, tutorial | flowchart | sketch-notes, vector-illustration, notion |
| API, metrics, data, comparison, numbers | infographic | blueprint, vector-illustration |
| Tech, AI, programming, development, code | infographic | vector-illustration, blueprint, sketch-notes |
| Framework, model, architecture, principles | framework | blueprint, vector-illustration, sketch-notes |
| vs, pros/cons, before/after, alternatives | comparison | vector-illustration, notion, sketch-notes |
| Manifesto, mindset shift, workforce, OS, whiteboard, professional visual note | comparison / framework | ink-notes |
| Story, emotion, journey, experience, personal | scene | warm, watercolor |
| History, timeline, progress, evolution | timeline | elegant, warm |
| Business, professional, strategy, corporate | framework | elegant |
| Opinion, editorial, culture, philosophy, cinematic, dramatic, poster | scene | screen-print |
| Biology, chemistry, medical, scientific | infographic | scientific |
| Explainer, journalism, magazine, investigation | infographic | editorial |
## Style Characteristics by Type
### infographic + sketch-notes (default)
- Warm cream paper background, black hand-drawn lines with slight wobble
- 2–6 rounded pastel info boxes (light blue / mint / lavender / peach)
- Bold hand-lettered title at the top
- Short keyword labels, simple icons, small doodles (stars, underlines, sparkles)
- One-line hand-lettered takeaway sentence at the bottom
- Airy, minimal, diagram-style — never realistic
- Perfect for single-page educational explainers and concept summaries
### infographic + vector-illustration
- Clean flat vector shapes, bold geometric forms
- Vibrant but harmonious color palette
- Clear visual hierarchy with icons and labels
- Modern, professional, highly readable
- Perfect for knowledge articles and tutorials
### flowchart + vector-illustration
- Bold arrows and connectors
- Distinct step containers with icons
- Clean progression flow
- High contrast for readability
### comparison + vector-illustration
- Split layout with clear visual separation
- Bold iconography for each side
- Color-coded distinctions
- Easy at-a-glance comparison
### framework + vector-illustration
- Geometric node representations
- Clear hierarchical structure
- Bold connecting lines
- Modern system diagram aesthetic
### infographic + blueprint
- Technical precision, schematic lines
- Grid-based layout, clear zones
- Monospace labels, data-focused
- Blue/white color scheme
### infographic + notion
- Hand-drawn feel, approachable
- Soft icons, rounded elements
- Neutral palette, clean backgrounds
- Perfect for SaaS/productivity
### scene + warm
- Golden hour lighting, cozy atmosphere
- Soft gradients, natural textures
- Inviting, personal feeling
- Great for storytelling
### scene + watercolor
- Artistic, painterly effect
- Soft edges, color bleeding
- Dreamy, creative mood
- Best for lifestyle/travel
### flowchart + notion
- Clear step indicators
- Simple arrow connections
- Minimal decoration
- Focus on process clarity
### flowchart + blueprint
- Technical precision
- Detailed connection points
- Engineering aesthetic
- For complex systems
### comparison + elegant
- Refined dividers
- Balanced typography
- Professional appearance
- Business comparisons
### framework + blueprint
- Precise node connections
- Hierarchical clarity
- System architecture feel
- Technical frameworks
### timeline + elegant
- Sophisticated markers
- Refined typography
- Historical gravitas
- Professional presentations
### timeline + warm
- Friendly progression
- Organic flow
- Personal journey feel
- Growth narratives
### scene + screen-print
- Bold silhouettes, symbolic compositions
- 2-5 flat colors with halftone textures
- Figure-ground inversion (negative space tells secondary story)
- Vintage poster aesthetic, conceptual not literal
- Great for opinion pieces and cultural commentary
### comparison + screen-print
- Split duotone composition (one color per side)
- Bold geometric dividers
- Symbolic icons over detailed rendering
- High contrast, immediate visual impact
### framework + screen-print
- Geometric node representations with stencil-cut edges
- Limited color coding (one color per concept level)
- Clean silhouette-based iconography
- Poster-style hierarchy with bold typography
---
## Palette Gallery
Palettes override a style's default colors. Combine any style with any palette: `--style vector-illustration --palette macaron`.
| Palette | Description | Best For |
|---------|-------------|----------|
| `macaron` | Soft pastel blocks (blue, mint, lavender, peach) on warm cream | Educational, knowledge, tutorials |
| `warm` | Warm earth tones (orange, terracotta, gold) on soft peach, no cool colors | Brand, product, lifestyle |
| `neon` | Vibrant neon (pink, cyan, yellow) on dark purple | Gaming, retro, pop culture |
| `mono-ink` | Black ink on pure white with sparse semantic accents (coral red, muted teal, dusty lavender) | Professional visual notes, Before/After, manifestos |
Full specifications: `references/palettes/<palette>.md`
When no palette is specified, the style's built-in Color Palette is used.
## Palette Override Rules
1. Read style file → rendering rules (Visual Elements, Style Rules)
2. Read palette file → Colors + Background
3. Palette colors **replace** style's default Color Palette
4. Palette Background **replaces** style's default Background color
5. Style's texture description is preserved

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# blueprint
Precise technical blueprint style with engineering precision
## Design Aesthetic
Clean, structured visual metaphors using blueprints, diagrams, and schematics. Precise, analytical and aesthetically refined. Information presented in grid-based layouts with engineering precision. Technical drawing quality with professional polish.
## Background
- Color: Blueprint Off-White (#FAF8F5)
- Texture: Subtle grid overlay, engineering paper feel
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Blueprint Paper | #FAF8F5 | Primary background |
| Grid | Light Gray | #E5E5E5 | Background grid lines |
| Primary Text | Deep Slate | #334155 | Headlines, body |
| Primary Accent | Engineering Blue | #2563EB | Key elements |
| Secondary Accent | Navy Blue | #1E3A5F | Supporting elements |
| Tertiary | Light Blue | #BFDBFE | Fills, backgrounds |
| Warning | Amber | #F59E0B | Warnings, emphasis |
## Visual Elements
- Precise lines with consistent stroke weights
- Technical schematics and clean vector graphics
- Thin line work in technical drawing style
- Connection lines: straight or 90-degree angles only
- Data visualization with minimal charts
- Dimension lines and measurement indicators
- Cross-section style diagrams
- Isometric or orthographic projections
## Style Rules
### Do
- Maintain consistent line weights
- Use grid alignment for all elements
- Keep color palette restrained
- Create clear visual hierarchy through scale
- Use geometric precision for all shapes
### Don't
- Use hand-drawn or organic shapes
- Add decorative flourishes
- Use curved connection lines
- Include photographic elements
- Add unnecessary embellishments
## Best For
Technical architecture, system design, data analysis, engineering documentation, process flows, infrastructure articles

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# chalkboard
Black chalkboard background with colorful chalk drawing style
## Design Aesthetic
Classic classroom chalkboard aesthetic with hand-drawn chalk illustrations. Nostalgic educational feel with imperfect, sketchy lines that capture the warmth of traditional teaching. Colorful chalk creates visual hierarchy while maintaining the authentic chalkboard experience.
## Background
- Color: Chalkboard Black (#1A1A1A) or Dark Green-Black (#1C2B1C)
- Texture: Realistic chalkboard texture with subtle scratches, dust particles, and faint eraser marks
## Typography
Hand-drawn chalk lettering style with visible chalk texture. Imperfect baseline adds authenticity. White or bright colored chalk for emphasis.
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Chalkboard Black | #1A1A1A | Primary background |
| Alt Background | Green-Black | #1C2B1C | Traditional green board |
| Primary Text | Chalk White | #F5F5F5 | Main text, outlines |
| Accent 1 | Chalk Yellow | #FFE566 | Highlights, emphasis |
| Accent 2 | Chalk Pink | #FF9999 | Secondary highlights |
| Accent 3 | Chalk Blue | #66B3FF | Diagrams, links |
| Accent 4 | Chalk Green | #90EE90 | Success, nature |
| Accent 5 | Chalk Orange | #FFB366 | Warnings, energy |
## Visual Elements
- Hand-drawn chalk illustrations with sketchy, imperfect lines
- Chalk dust effects around text and key elements
- Doodles: stars, arrows, underlines, circles, checkmarks
- Mathematical formulas and simple diagrams
- Eraser smudges and chalk residue textures
- Wooden frame border optional
- Stick figures and simple icons
- Connection lines with hand-drawn feel
## Style Rules
### Do
- Maintain authentic chalk texture on all elements
- Use imperfect, hand-drawn quality throughout
- Add subtle chalk dust and smudge effects
- Create visual hierarchy with color variety
- Include playful doodles and annotations
### Don't
- Use perfect geometric shapes
- Create clean digital-looking lines
- Add photorealistic elements
- Use gradients or glossy effects
- Make it look computerized
## Best For
Educational articles, tutorials, teaching content, workshops, informal learning, knowledge sharing, how-to guides, classroom-style explanations

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# editorial
Magazine-style editorial infographic for professional content
## Design Aesthetic
High-quality magazine explainer aesthetic. Clear visual storytelling with structured layouts and professional typography. Think Wired, The Verge, or quality science publications. Complex information made digestible.
## Background
- Color: Pure White (#FFFFFF) or Light Gray (#F8F9FA)
- Texture: None or subtle paper grain
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Pure White | #FFFFFF | Primary background |
| Alt Background | Light Gray | #F8F9FA | Section backgrounds |
| Primary Text | Near Black | #1A1A1A | Headlines, body |
| Secondary Text | Dark Gray | #4A5568 | Captions |
| Accent 1 | Editorial Blue | #2563EB | Primary accent |
| Accent 2 | Coral | #F97316 | Secondary accent |
| Accent 3 | Emerald | #10B981 | Positive elements |
| Accent 4 | Amber | #F59E0B | Attention points |
| Dividers | Medium Gray | #D1D5DB | Section dividers |
## Visual Elements
- Clean flat illustrations
- Structured multi-section layouts
- Callout boxes for insights
- Icon-based visualizations
- Visual metaphors for concepts
- Flow diagrams with hierarchy
- Pull quotes and highlights
- Clear section dividers
## Style Rules
### Do
- Create clear narrative flow
- Use structured layouts
- Include callout boxes
- Design visual metaphors
- Maintain magazine polish
### Don't
- Use photographic imagery
- Create cluttered layouts
- Mix too many styles
- Add purposeless decoration
- Compromise clarity for style
## Best For
Technology explainers, science communication, research articles, policy analysis, investigative pieces, thought leadership, long-form journalism

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# elegant
Refined, sophisticated illustration style for professional content
## Design Aesthetic
Elegant and refined visual approach with sophisticated color palette. Professional polish with subtle artistic touches. Emphasizes clarity and thoughtful composition. Conveys authority and trustworthiness without being cold or clinical.
## Background
- Color: Warm Cream (#F5F0E6) or Soft Beige (#FAF6F0)
- Texture: Subtle paper texture, very light grain
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Warm Cream | #F5F0E6 | Primary background |
| Primary | Soft Coral | #E8A598 | Main accent color |
| Secondary | Muted Teal | #5B8A8A | Supporting elements |
| Tertiary | Dusty Rose | #D4A5A5 | Subtle highlights |
| Accent | Gold | #C9A962 | Premium touches |
| Alt Accent | Copper | #B87333 | Warm metallic notes |
| Text | Charcoal | #3D3D3D | Text and outlines |
## Visual Elements
- Delicate line work with refined strokes
- Subtle icons with balanced weight
- Graceful curves and flowing compositions
- Soft gradients with smooth transitions
- Balanced whitespace and breathing room
- Thin borders and elegant dividers
- Subtle drop shadows for depth
## Style Rules
### Do
- Use refined color combinations
- Create balanced, harmonious compositions
- Keep elements light and airy
- Use subtle gradients sparingly
- Maintain generous margins
### Don't
- Use harsh contrasts
- Overcrowd the composition
- Add playful or casual elements
- Use neon or overly bright colors
- Create busy or cluttered layouts
## Best For
Professional articles, thought leadership pieces, business topics, executive communications, corporate blogs, strategy discussions, industry analysis

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# fantasy-animation
Whimsical hand-drawn animation style inspired by Ghibli/Disney
## Design Aesthetic
Charming hand-drawn animation aesthetic reminiscent of classic Disney, Studio Ghibli, or European storybook illustration. Soft, painterly textures with warm, inviting colors. Friendly characters, magical elements, and storybook feel. Enchanting, nostalgic, and emotionally engaging.
## Background
- Color: Soft Sky Blue (#E8F4FC) or Warm Cream (#FFF8E7)
- Texture: Subtle watercolor wash, soft brush strokes
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Soft Sky Blue | #E8F4FC | Primary background |
| Alt Background | Warm Cream | #FFF8E7 | Secondary areas |
| Primary Text | Deep Forest | #2D5A3D | Headlines |
| Body Text | Warm Brown | #5D4E37 | Content |
| Accent 1 | Golden Yellow | #F4D03F | Magic, highlights |
| Accent 2 | Rose Pink | #E8A0BF | Warmth, charm |
| Accent 3 | Sage Green | #87A96B | Nature elements |
| Accent 4 | Sky Blue | #7EC8E3 | Air, water, dreams |
| Accent 5 | Coral | #F08080 | Emphasis, life |
## Visual Elements
- Central illustrated character (friendly, expressive)
- Small companion creatures (animals, magical beings)
- Storybook-style environment backgrounds
- Magical floating objects (books, orbs, sparkles)
- Decorative elements: stars, flowers, leaves
- Soft shadows and gentle highlights
- Layered depth with foreground/background
## Style Rules
### Do
- Create warm, inviting compositions
- Use soft edges and painterly textures
- Include charming character illustrations
- Add magical decorative touches
- Maintain storybook narrative feel
### Don't
- Use harsh geometric shapes
- Create dark or intimidating imagery
- Add photorealistic elements
- Use cold color palettes
- Make it look digital/computerized
## Best For
Educational content, children's articles, storytelling, creative topics, fantasy/gaming, inspirational pieces, family-friendly content

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# flat-doodle
Cute flat doodle illustration style with bold outlines
## Design Aesthetic
Cheerful and approachable visual style combining flat design with doodle charm. Features bold black outlines around simple shapes. Bright pastel colors with no gradients or shading. Cute rounded proportions that feel friendly. Clean white backgrounds create focus and clarity.
## Background
- Color: Clean White (#FFFFFF)
- Texture: None - pure white isolated background
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | White | #FFFFFF | Primary background |
| Primary | Pastel Pink | #FFB6C1 | Main elements |
| Secondary | Mint | #98D8C8 | Supporting elements |
| Tertiary | Lavender | #C8A2C8 | Accent elements |
| Accent 1 | Butter Yellow | #FFFACD | Highlight pop |
| Accent 2 | Sky Blue | #87CEEB | Cool accent |
| Accent 3 | Soft Coral | #F88379 | Warm accent |
| Outline | Bold Black | #000000 | All outlines |
| Text | Black | #1A1A1A | Text elements |
## Visual Elements
- Bold black outlines around all shapes
- Simple flat color fills
- Cute rounded proportions
- Minimal geometric shapes
- Productivity icons (laptops, calendars, checkmarks)
- Isolated elements on white
- No shading or gradients
- Hand-drawn quality with clean edges
## Style Rules
### Do
- Use bold black outlines consistently
- Keep shapes simple and rounded
- Use bright pastel palette
- Isolate elements on white background
- Maintain cute proportions
- Keep minimal shading
### Don't
- Add shadows or depth effects
- Use gradients or textures
- Create complex detailed illustrations
- Overlap too many elements
- Use dark or moody backgrounds
- Add realistic proportions
## Best For
Productivity articles, SaaS and app content, workflow tutorials, beginner guides, casual business content, tool introductions, lifestyle productivity

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# flat
Modern flat vector illustration style for contemporary content
## Design Aesthetic
Contemporary flat design aesthetic with bold shapes and limited depth. Clean geometric forms with no gradients or shadows. Modern, accessible, and highly readable. Optimized for digital consumption with scalable vector quality.
## Background
- Color: White (#FFFFFF) or Soft Gray (#F5F5F5)
- Texture: None - clean solid backgrounds
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | White | #FFFFFF | Primary background |
| Alt Background | Soft Gray | #F5F5F5 | Accent areas |
| Primary | Vibrant Blue | #3B82F6 | Main elements |
| Secondary | Coral | #F97316 | Supporting elements |
| Tertiary | Emerald | #10B981 | Accent elements |
| Accent 1 | Purple | #8B5CF6 | Additional accent |
| Accent 2 | Amber | #F59E0B | Highlight |
| Text | Dark Slate | #1E293B | Text elements |
| Light | Light Gray | #E5E7EB | Subtle elements |
## Visual Elements
- Bold geometric shapes
- Flat color fills with no gradients
- Simple character illustrations
- Clean icon designs
- Minimal line work
- Overlapping shape compositions
- Abstract concept visualizations
- Consistent stroke weights
## Style Rules
### Do
- Use flat solid colors
- Create clean geometric shapes
- Keep elements simple
- Maintain consistent styling
- Use bold color combinations
### Don't
- Add shadows or depth
- Use gradients or textures
- Create realistic illustrations
- Add unnecessary details
- Use photographic elements
## Best For
Modern articles, app and product content, startup stories, digital topics, contemporary business, tech company blogs, social media content

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# ink-notes
Professional black-ink visual notes on pure white, in the tradition of Mike Rohde's sketchnoting
## Compared to sketch-notes
`ink-notes` and `sketch-notes` are distinct styles. Pick the right one:
| | `sketch-notes` | `ink-notes` |
|---|---|---|
| Background | Warm Off-White #FAF8F0 with paper grain | Pure White #FFFFFF, clean, no texture |
| Palette | Soft warm accents (orange, mustard, sage, light blue) | Black ink dominant + sparse semantic accents |
| Feel | Soft, warm, educational, approachable | Professional, structured, whiteboard-presentation |
| Best For | Friendly tutorials, onboarding, casual explainers | Before/After essays, tech manifestos, framework analogies |
When in doubt: warm & friendly → `sketch-notes`. Disciplined & professional → `ink-notes`.
## Design Aesthetic
Disciplined hand-drawn visual note. Confident black ink line work with slight wobble, hand-lettered typography, and sparse color accents used only for semantic emphasis. Feels like a skilled visual notetaker's whiteboard presentation — clean, structured, intentionally hand-drawn rather than decorative.
## Background
- Color: Pure White (#FFFFFF)
- Texture: Clean, no grain, no tint
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Pure White | #FFFFFF | Canvas |
| Primary Ink | Near Black | #1A1A1A | All lines, text, figures, arrows |
| Accent Warm | Coral Red | #E8655A | Risk, problem, gap, emphasis |
| Accent Cool | Muted Teal | #5FA8A8 | Positive, solution, "after" state |
| Accent Neutral | Dusty Lavender | #9B8AB5 | Neutral tags, category labels |
| Soft Fill | Pale Gray | #F0F0F0 | Subtle zone backgrounds (optional) |
Color accents must remain under 10% of canvas area and only carry semantic meaning. Black ink does the structural work.
## Visual Elements
- Black ink line work with intentional slight wobble on all strokes
- Hand-lettered titles (bold, oversized) and handwritten body annotations
- Simple stick-figure characters with expressive poses (pointing, thinking, walking)
- Role labels above characters (e.g., "Tech Lead", "Compliance Officer")
- Thought bubbles and speech bubbles with hand-drawn outlines
- Rounded-rectangle frames for content groupings
- Dashed-border rectangles for placeholder, "coming next", or empty states
- Curvy hand-drawn arrows with small inline labels
- Vertical or horizontal dividers between comparison zones ("Before" | "After")
- "Mindset shift" curved arrow bridging two zones
- Bottom tagline: single-line hand-lettered conclusion that points the takeaway
- Stars, asterisks, underlines for emphasis — used sparingly
## Style Rules
### Do
- Keep background pure white with no texture or tint
- Let black ink dominate outlines, text, and figures
- Use accent colors only for semantic highlighting
- Keep all type hand-lettered — no computer-generated fonts
- Maintain confident line quality (wobble, not mess)
- Include a bottom tagline summarizing the main takeaway
- Structure content into clear zones with visible dividers
- Use dashed boxes for future, empty, or placeholder states
### Don't
- Use warm off-white or paper-textured backgrounds (that is sketch-notes' territory)
- Fill large zones with color blocks
- Use more than 3 accent colors per image
- Use perfect geometric shapes — preserve hand-drawn wobble
- Clutter with decorative doodles; every element must carry meaning
- Use gradients, shadows, or computer-generated fonts
## Type Compatibility
| Type | Rating | Notes |
|------|--------|-------|
| comparison | ✓✓ | Best fit — Before/After, Traditional vs New, side-by-side contrasts |
| framework | ✓✓ | OS-style command centers, layered architectures, organizational models |
| flowchart | ✓✓ | Process explainers with labeled stages, workforce pipelines |
| infographic | ✓ | Multi-zone technical summaries, manifesto-style posters |
| timeline | ✓ | Hand-drawn horizontal arrow with era markers and milestones |
| scene | ✗ | Not recommended — lacks scenic space |
## Best For
Product and engineering essays, tech manifestos, framework introductions, Before/After narratives, OS-level comparisons, workforce and organizational analogies, visual summaries of talks, thought-leadership articles

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# intuition-machine
Technical briefing infographic style with aged paper and bilingual labels
## Design Aesthetic
Academic/technical briefing style with clean 2D or isometric technical illustrations. Information-dense but organized with clear visual hierarchy. Vintage blueprint aesthetic with modern clarity. Multiple explanatory elements with bilingual callouts.
## Background
- Color: Aged Cream (#F5F0E6)
- Texture: Subtle paper texture with light creases, vintage technical print feel
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Aged Cream | #F5F0E6 | Primary background |
| Paper Texture | Warm White | #F5F0E1 | Blueprint effect |
| Primary Text | Dark Maroon | #5D3A3A | Headlines, titles |
| Body Text | Near Black | #1A1A1A | Content text |
| Accent 1 | Teal | #2F7373 | Primary illustrations |
| Accent 2 | Warm Brown | #8B7355 | Secondary elements |
| Accent 3 | Maroon | #722F37 | Emphasis |
| Outline | Deep Charcoal | #2D2D2D | Element outlines |
## Visual Elements
- Isometric 3D or flat 2D technical diagrams
- Explanatory text boxes with labeled content
- Bilingual callout labels (English + Chinese)
- Faded thematic background patterns
- Clean black outlines on elements
- Split or triptych layouts
- Key insight boxes
## Style Rules
### Do
- Include multiple text boxes with content
- Use bilingual labels for key elements
- Add faded thematic background patterns
- Maintain aged paper texture
- Create clear visual hierarchy
### Don't
- Create photorealistic 3D renders
- Leave illustrations without explanatory text
- Add stamps or watermarks in corners
- Use gradients or glossy effects
- Make it look too modern/digital
## Best For
Technical explanations, concept breakdowns, academic content, research summaries, bilingual audiences, knowledge documentation

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# minimal
Ultra-clean, zen-like illustration style for focused content
## Design Aesthetic
Maximum simplicity with purposeful restraint. Every element serves a function. Zen-like calm and focus through extensive negative space. Single focal point approach that guides attention naturally. Quiet elegance through reduction.
## Background
- Color: Pure White (#FFFFFF) or Off-White (#FAFAFA)
- Texture: None - clean solid backgrounds
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | White | #FFFFFF | Primary background |
| Alt Background | Off-White | #FAFAFA | Subtle variation |
| Primary | Pure Black | #000000 | Main elements |
| Accent | Content-Derived | varies | Single accent color |
| Text | Black | #000000 | Text elements |
| Alt Text | Medium Gray | #6B6B6B | Secondary text |
Note: Accent color is derived from content context. Use sparingly.
## Visual Elements
- Single focal element per illustration
- Maximum negative space
- Thin, precise lines
- Simple geometric forms
- Subtle shadows if any
- Typography as primary element
- Strategic use of single accent
- Clean, uncluttered compositions
## Style Rules
### Do
- Embrace empty space
- Use single focal points
- Keep lines thin and precise
- Let content breathe
- Question every element
### Don't
- Add decorative elements
- Use multiple accent colors
- Fill available space
- Add textures or patterns
- Create visual complexity
## Best For
Philosophy articles, minimalism content, focused explanations, meditation and mindfulness, essential concepts, clarity-focused writing

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# nature
Organic, earthy illustration style for environmental and wellness content
## Design Aesthetic
Natural and organic visual approach inspired by the outdoors. Earth tones and natural textures that evoke calm and connection to nature. Flowing lines and organic shapes. Creates a sense of tranquility and environmental awareness.
## Background
- Color: Sand Beige (#F5E6D3) or Sky Blue wash (#E0F2FE)
- Texture: Natural paper texture with organic feel
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Sand Beige | #F5E6D3 | Primary background |
| Alt Background | Sky Blue | #E0F2FE | Alternative canvas |
| Primary | Forest Green | #276749 | Main natural color |
| Secondary | Sage | #9AE6B4 | Supporting green |
| Tertiary | Earth Brown | #744210 | Grounding element |
| Accent 1 | Sunset Orange | #ED8936 | Warm accent |
| Accent 2 | Water Blue | #63B3ED | Cool accent |
| Text | Deep Brown | #5D4E3C | Text elements |
## Visual Elements
- Leaf and plant motifs
- Tree and branch silhouettes
- Mountain and landscape shapes
- Organic flowing lines
- Natural textures (wood grain, stone)
- Water and wave patterns
- Animal silhouettes
- Sun and moon symbols
## Style Rules
### Do
- Use earth-inspired colors
- Create organic, flowing shapes
- Include nature elements
- Evoke outdoor atmosphere
- Maintain calm and balance
### Don't
- Use synthetic or neon colors
- Create rigid geometric shapes
- Add tech or digital elements
- Use stark contrasts
- Overcomplicate compositions
## Best For
Sustainability articles, wellness content, outdoor topics, slow living, environmental issues, health and fitness, gardening, travel nature pieces

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# notion
Minimalist hand-drawn line art style for knowledge content (Default)
## Design Aesthetic
Clean, minimalist hand-drawn line art with intellectual feel. Simple doodle-style illustrations with intentional wobble. Maximum whitespace with single concept focus. Notion-like aesthetic that feels thoughtful and organized.
## Background
- Color: Pure White (#FFFFFF) or Off-White (#FAFAFA)
- Texture: None - clean solid backgrounds
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | White | #FFFFFF | Primary background |
| Alt Background | Off-White | #FAFAFA | Subtle variation |
| Primary | Black | #1A1A1A | Main outlines |
| Secondary | Dark Gray | #4A4A4A | Supporting lines |
| Accent 1 | Pastel Blue | #A8D4F0 | Soft highlight |
| Accent 2 | Pastel Yellow | #F9E79F | Warm highlight |
| Accent 3 | Pastel Pink | #FADBD8 | Gentle accent |
| Text | Near Black | #1A1A1A | Text elements |
## Visual Elements
- Simple line doodles
- Hand-drawn wobble effect
- Basic geometric shapes
- Stick figures for people
- Conceptual icons
- Clean hand-drawn lettering
- Minimal decorative elements
- Single-weight line work
## Style Rules
### Do
- Use maximum whitespace
- Keep illustrations simple
- Add slight hand-drawn wobble
- Focus on single concepts
- Use pastel accents sparingly
### Don't
- Create complex illustrations
- Use many colors at once
- Add detailed textures
- Make precise geometric shapes
- Overcrowd the composition
## Best For
Knowledge sharing, concept explanations, SaaS content, productivity articles, educational posts, how-to guides, professional blogs

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# pixel-art
Retro 8-bit pixel art aesthetic with nostalgic gaming style
## Design Aesthetic
Pixelated retro aesthetic reminiscent of classic 8-bit and 16-bit era games. Chunky pixels, limited color palettes, and nostalgic gaming references. Simple geometric shapes rendered in blocky pixel form. Fun, playful, and immediately recognizable retro tech aesthetic.
## Background
- Color: Light Blue (#87CEEB) or Soft Lavender (#E6E6FA)
- Texture: Subtle pixel grid pattern, optional CRT scanline effect
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Light Blue | #87CEEB | Primary background |
| Alt Background | Soft Lavender | #E6E6FA | Secondary backgrounds |
| Primary Text | Dark Navy | #1A1A2E | Main elements |
| Accent 1 | Pixel Green | #00FF00 | Success, highlights |
| Accent 2 | Pixel Red | #FF0000 | Alerts, emphasis |
| Accent 3 | Pixel Yellow | #FFFF00 | Warnings, energy |
| Accent 4 | Pixel Cyan | #00FFFF | Info, tech elements |
| Accent 5 | Pixel Magenta | #FF00FF | Special elements |
## Visual Elements
- All elements rendered with visible pixel structure
- Simple iconography: notepad, checkboxes, gears, rockets
- Text bubbles with pixel borders
- 8-bit decorations: stars, hearts, arrows
- Progress bars with chunky pixel segments
- Dithering patterns for color transitions
- Limited 16-32 color palette
## Style Rules
### Do
- Maintain consistent pixel grid throughout
- Use limited color palette (16-32 colors max)
- Create blocky, geometric shapes
- Add nostalgic gaming references
- Use dithering for color transitions
### Don't
- Use smooth gradients or anti-aliasing
- Create photorealistic elements
- Use thin lines or fine details
- Add modern glossy effects
- Break the pixel grid alignment
## Best For
Gaming articles, tech tutorials, nostalgic content, developer topics, retro-themed pieces, creative tech content

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# playful
Fun, creative illustration style for casual and educational content
## Design Aesthetic
Whimsical and entertaining visual approach that sparks joy. Pastel colors with bright pops of energy. Doodle-like quality that feels approachable and fun. Creates a sense of play and discovery. Encourages engagement through visual delight.
## Background
- Color: Light Cream (#FFFBEB) or Soft White (#FFF)
- Texture: Subtle, playful pattern or clean
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Light Cream | #FFFBEB | Primary background |
| Primary | Pastel Pink | #FED7E2 | Soft warmth |
| Secondary | Mint | #C6F6D5 | Fresh energy |
| Tertiary | Lavender | #E9D8FD | Dreamy touch |
| Accent 1 | Sky Blue | #BEE3F8 | Calm brightness |
| Accent 2 | Bright Yellow | #FBBF24 | Energy pop |
| Accent 3 | Coral | #F6AD55 | Warm pop |
| Accent 4 | Turquoise | #38B2AC | Cool pop |
| Text | Soft Charcoal | #4A4A4A | Text elements |
## Visual Elements
- Doodles and sketchy lines
- Star and sparkle decorations
- Swirls and curvy elements
- Cute character illustrations
- Speech bubbles and callouts
- Emoji-style icons
- Confetti and celebration marks
- Playful hand-lettering
## Style Rules
### Do
- Use varied pastel palette
- Add whimsical decorations
- Create friendly characters
- Include playful details
- Keep energy high and positive
### Don't
- Use dark or moody colors
- Create serious compositions
- Add corporate elements
- Use rigid geometric shapes
- Make it feel professional
## Best For
Tutorials and guides, beginner-friendly content, casual articles, fun topics, children's content, hobby-related posts, entertaining explanations

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# retro
80s/90s nostalgic aesthetic with vibrant colors and geometric patterns
## Design Aesthetic
Nostalgic retro aesthetic inspired by 80s and 90s design trends. Vibrant neon colors, geometric patterns, and Memphis design influence. Energetic, fun, and unapologetically bold. Perfect for content that embraces nostalgia or playful energy.
## Background
- Color: Deep Purple (#2D1B4E) or Dark Teal (#0F4C5C)
- Texture: Subtle grid patterns or geometric shapes
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Deep Purple | #2D1B4E | Primary background |
| Alt Background | Dark Teal | #0F4C5C | Alternative |
| Primary | Hot Pink | #FF1493 | Main accent |
| Secondary | Electric Cyan | #00FFFF | Supporting |
| Tertiary | Neon Yellow | #FFFF00 | Highlights |
| Accent 1 | Lime Green | #32CD32 | Energy |
| Accent 2 | Orange | #FF6B35 | Warmth |
| Text | White | #FFFFFF | Text elements |
| Grid | Light Purple | #9D8EC0 | Grid lines |
## Visual Elements
- Geometric patterns (triangles, circles)
- Grid backgrounds and lines
- Neon glow effects
- Memphis design shapes
- Zigzag and wavy patterns
- Retro computer graphics
- Bold outline strokes
- Gradient sunsets
## Style Rules
### Do
- Use bold neon colors
- Create geometric patterns
- Add retro typography
- Include Memphis-style shapes
- Embrace maximalism
### Don't
- Use muted or subtle colors
- Create minimal compositions
- Add modern flat design
- Make it look contemporary
- Use understated elements
## Best For
Pop culture articles, gaming content, music and entertainment, nostalgia pieces, youth-focused content, creative industry, party and event content

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# scientific
Academic scientific illustration style for technical diagrams and processes
## Design Aesthetic
Academic scientific illustration aesthetic for biological, chemical, and technical diagrams. Clean, precise diagrams with proper labeling and clear visual flow. Educational clarity with professional polish. Textbook quality illustrations.
## Background
- Color: Off-White (#FAFAFA) or Light Blue-Gray (#F0F4F8)
- Texture: None or subtle paper grain
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Off-White | #FAFAFA | Primary background |
| Primary Text | Dark Slate | #1E293B | Labels, headers |
| Label Text | Medium Gray | #475569 | Annotations |
| Pathway 1 | Teal | #0D9488 | Primary pathway |
| Pathway 2 | Blue | #3B82F6 | Secondary pathway |
| Pathway 3 | Purple | #8B5CF6 | Tertiary pathway |
| Structure | Amber | #F59E0B | Membranes, structures |
| Alert | Red | #EF4444 | Key elements |
| Positive | Green | #22C55E | Products, outputs |
## Visual Elements
- Precise labeled diagrams
- Flow arrows showing direction
- Modular components with colors
- Chemical formulas and notation
- Cross-section views
- Numbered step sequences
- Molecule and cell representations
- Process summary boxes
## Style Rules
### Do
- Use precise consistent lines
- Label all components clearly
- Show directional flow
- Include technical notation
- Create clear numbered sequences
### Don't
- Use decorative elements
- Create imprecise diagrams
- Omit important labels
- Use inconsistent styling
- Add artistic flourishes
## Best For
Biology articles, chemistry explanations, medical content, research summaries, academic writing, technical documentation, process explanations

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# screen-print
Bold poster art with limited colors, halftone textures, and symbolic storytelling
## Design Aesthetic
Screen print / silkscreen aesthetic inspired by Mondo limited-edition posters and vintage concert prints. Flat color blocks, halftone dot patterns, bold silhouettes, and deliberate print imperfections. Conceptual and symbolic rather than literal — one iconic image tells the whole story. Perfect for opinion pieces, cultural commentary, and editorial content.
## Background
- Color: Off-Black (#121212) or Warm Cream (#F5E6D0)
- Texture: Paper grain with subtle halftone dot overlay
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Off-Black | #121212 | Dark compositions |
| Background Alt | Warm Cream | #F5E6D0 | Light compositions |
| Primary | Burnt Orange | #E8751A | Main accent |
| Secondary | Deep Teal | #0A6E6E | Contrast accent |
| Tertiary | Crimson | #C0392B | Bold emphasis |
| Highlight | Amber | #F4A623 | Small accents |
| Text | Cream White | #FAF3E0 | On dark backgrounds |
**Duotone Pairs** (choose ONE pair for high-impact compositions):
| Pair | Color A | Color B | Feel |
|------|---------|---------|------|
| Orange + Teal | #E8751A | #0A6E6E | Cinematic, action |
| Red + Cream | #C0392B | #F5E6D0 | Bold, classic |
| Blue + Gold | #1A3A5C | #D4A843 | Prestigious, premium |
| Crimson + Navy | #DC143C | #0D1B2A | Dramatic, noir |
**Rule**: Use 2-5 colors maximum. Fewer colors = stronger impact.
## Visual Elements
- Bold silhouettes and symbolic shapes
- Halftone dot patterns within color fills
- Slight color layer misregistration (print offset effect)
- Geometric framing (circles, arches, triangles)
- Figure-ground inversion (negative space forms secondary image)
- Stencil-cut edges, no outlines — shapes defined by color boundaries
- Typography integrated as design element, not overlay
- Vintage poster border treatments
## Style Rules
### Do
- Limit to 2-5 flat colors
- Use bold silhouettes over detailed rendering
- Let negative space tell part of the story
- Add halftone texture for authenticity
- Use geometric composition (centered, symmetrical)
- Reference vintage decades (60s/70s/80s) for era feel
### Don't
- Use photorealistic rendering or gradients
- Add complex facial details (silhouettes preferred)
- Mix too many visual elements (one focal point)
- Use modern digital aesthetic
- Create busy or cluttered compositions
- Use more than 5 colors
## Best For
Opinion/editorial articles, cultural commentary, philosophy and strategy, dramatic narratives, cinematic storytelling, music and entertainment, event announcements, bold branding content

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# sketch-notes
Hand-drawn educational infographic style with warm cream paper, black hand-drawn lines, and soft pastel section blocks. Optimized for single-page visual explainers.
## Design Aesthetic
Hand-drawn educational infographic in a clean presentation style. Feels like a visual explainer slide: simple, friendly, and easy to understand at a glance. Bold handwritten-style title at the top, clearly sectioned content in the middle with rounded boxes and small doodles, and one short takeaway sentence at the bottom. Neat, airy, and visually similar to a hand-drawn concept diagram — never realistic or photographic.
## Background
- Color: Warm Cream Paper (#F5F0E8) — preferred; fallback Warm Off-White (#FAF8F0)
- Texture: Subtle warm paper grain, matte finish, no gloss
## Color Palette
Default sketch-notes palette is the **macaron** pastel set. Lines are always black; pastel blocks are used only as rounded card fills for information sections.
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Warm Cream | #F5F0E8 | Paper background |
| Primary Ink | Black | #1A1A1A | ALL outlines, text, arrows, doodles |
| Block Blue | Light Blue | #A8D8EA | Info block fill (cool / tech) |
| Block Mint | Mint Green | #B5E5CF | Info block fill (growth / positive) |
| Block Lavender | Lavender | #D5C6E0 | Info block fill (concept / abstract) |
| Block Peach | Peach | #FFD5C2 | Info block fill (warm / human) |
| Accent | Coral Red | #E8655A | One or two emphasis points only |
| Muted Text | Warm Gray | #6B6B6B | Small annotations |
Use **4 pastel block colors max** per image, one color per section. Black ink does all the structural line work.
## Visual Elements
- Bold hand-lettered title at the top (oversized, slightly wobbly)
- Rounded-rectangle info boxes with clear sectioning (2–6 zones)
- Short keyword labels inside boxes — never long paragraphs
- Simple icons and sketchy cartoon elements (stick figures, tools, objects) to explain each idea
- Hand-drawn arrows (straight, curved, or wavy) connecting related zones
- Small doodle decorations: stars, sparkles, underlines, dots, asterisks — used sparingly for emphasis
- Single-line hand-lettered takeaway sentence at the bottom
- Color fills do not completely fill outlines (slight "hand-painted" overshoot/undershoot)
- Generous white space between sections — airy, never crowded
## Layout Guidelines
Canonical single-page layout (16:9 or 4:3):
1. **Top (10–15%)** — Bold hand-lettered title, optionally with a small decorative underline or doodle.
2. **Middle (70–80%)** — 2–6 rounded pastel info boxes arranged in a clear grid, row, or radial pattern. Each box = one section, one color, one icon, one keyword/phrase.
3. **Bottom (10–15%)** — One short hand-lettered takeaway sentence summarizing the core insight.
Keep margins generous. Aim for breathing room around every element.
## Style Rules
### Do
- Use warm cream paper background (no pure white)
- Use black hand-drawn lines for ALL structural elements
- Use soft pastel blocks (blue / mint / lavender / peach) for section fills
- Keep text to short keywords and phrases only
- Include a bold handwritten title at the top
- Include a short takeaway sentence at the bottom
- Use diagram-style visuals (icons, doodles, simple shapes)
- Allow slight wobble — hand-drawn imperfection is the point
- Maintain clear sectioning with rounded boxes
### Don't
- Use pure white backgrounds (that's `ink-notes`' territory)
- Render realistic or photographic images — this style is diagram-only
- Fill zones with gradients, shadows, or digital effects
- Use long paragraphs of text — keywords only
- Use computer-generated / sans-serif body fonts — ALL text must be hand-lettered
- Use more than 4 pastel block colors per image
- Overcrowd the canvas — keep it airy and minimal
- Use perfect geometric shapes — preserve the hand-drawn wobble
## Type Compatibility
| Type | Rating | Notes |
|------|--------|-------|
| infographic | ✓✓ | **Best fit** — single-page visual explainers, concept summaries, educational slides |
| framework | ✓✓ | Labeled zones and connectors render well |
| flowchart | ✓✓ | Rounded step boxes with wavy arrows |
| comparison | ✓✓ | Two pastel blocks side by side; prefer `ink-notes` for strict Before/After contrasts |
| timeline | ✓ | Hand-drawn horizontal arrow with milestone cards |
| scene | ✗ | Not recommended — too diagrammatic |
## Best For
Educational content, knowledge sharing, concept explainers, tutorials, onboarding materials, product walkthroughs, single-page visual summaries, "how things work" posts, friendly technical articles

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# sketch
Raw, authentic notebook-style illustration for ideas and processes
## Design Aesthetic
Hand-drawn sketch aesthetic that feels authentic and in-progress. Pencil-on-paper quality with intentional imperfection. Suggests thinking, brainstorming, and creative exploration. Raw and honest visual approach that invites collaboration.
## Background
- Color: Off-White Paper (#F7FAFC) or Cream (#FAFAFA)
- Texture: Paper texture with visible grain
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Paper White | #F7FAFC | Primary background |
| Primary | Pencil Gray | #4A5568 | Main sketch lines |
| Secondary | Light Gray | #A0AEC0 | Shading, soft marks |
| Highlight Blue | Note Blue | #3182CE | Highlight color |
| Highlight Red | Mark Red | #E53E3E | Emphasis color |
| Highlight Yellow | Marker Yellow | #F6E05E | Highlighter effect |
| Text | Charcoal | #2D3748 | Text elements |
## Visual Elements
- Rough sketch lines with natural variation
- Arrows and directional pointers
- Handwritten labels and notes
- Crossed-out marks and corrections
- Underlines and emphasis marks
- Simple diagram shapes
- Margin notes style
- Quick icon sketches
## Style Rules
### Do
- Use pencil-like line quality
- Include natural imperfections
- Add handwritten annotations
- Create diagram-style layouts
- Show thinking process
### Don't
- Use perfect geometric shapes
- Add polished or refined elements
- Create colorful compositions
- Use digital effects
- Make it look finished
## Best For
Ideas in progress, brainstorming articles, thought processes, concept exploration, draft-stage thinking, planning content, problem-solving pieces

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# vector-illustration
Flat vector illustration style with clear black outlines and retro soft colors
## Design Aesthetic
Flat vector illustration with no gradients or 3D effects. Clear, uniform-thickness black outlines on all elements. Geometric simplification reducing complex objects to basic shapes. Toy model aesthetic that's cute, playful, and approachable. Coloring book style with closed outlines.
## Background
- Color: Cream Off-White (#F5F0E6)
- Texture: Subtle paper texture, warm nostalgic feel
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Cream Off-White | #F5F0E6 | Primary background |
| Outlines | Deep Charcoal | #2D2D2D | All element outlines |
| Primary | Coral Red | #E07A5F | Primary accent, warmth |
| Secondary | Mint Green | #81B29A | Nature, growth |
| Tertiary | Mustard Yellow | #F2CC8F | Highlights, energy |
| Accent 1 | Burnt Orange | #D4764A | Warm accents |
| Accent 2 | Rock Blue | #577590 | Cool balance |
| Text | Black | #1A1A1A | Text elements |
## Visual Elements
- All objects have closed black outlines (coloring book style)
- Rounded line endings, avoid sharp corners
- Trees simplified to lollipop or triangle shapes
- Buildings as rectangular blocks with grid windows
- Depth through layering and overlap
- Decorative elements: sunbursts, pill-shaped clouds, dots, stars
- People as simple geometric figures
## Style Rules
### Do
- Maintain consistent outline thickness
- Use soft, vintage color palette
- Simplify objects to basic geometric shapes
- Create depth through layering
- Add playful decorative elements
### Don't
- Use gradients or realistic shading
- Create photorealistic elements
- Use thin or varying line weights
- Include complex detailed illustrations
- Add textures inside shapes
## Best For
Educational content, creative articles, children's content, brand showcases, explainer pieces, warm approachable topics

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# vintage
Nostalgic aged-paper aesthetic for historical and heritage content
## Design Aesthetic
Nostalgic vintage aesthetic with aged paper textures and historical document styling. Explorer's journal and antique map quality. Rich warm tones with weathered textures. Evokes discovery, heritage, and timeless knowledge.
## Background
- Color: Aged Parchment (#F5E6D3) or Sepia Cream (#FFF8DC)
- Texture: Heavy aged paper texture with subtle stains and worn edges
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Aged Parchment | #F5E6D3 | Primary background |
| Alt Background | Sepia Cream | #FFF8DC | Secondary areas |
| Primary Text | Dark Brown | #3D2914 | Main elements |
| Secondary | Medium Brown | #6B4423 | Supporting details |
| Accent 1 | Forest Green | #2D5A3D | Nature, maps |
| Accent 2 | Navy Blue | #1E3A5F | Ocean, lines |
| Accent 3 | Burgundy | #722F37 | Emphasis |
| Accent 4 | Gold | #C9A227 | Highlights |
| Ink | Sepia Black | #3D3D3D | Fine details |
## Visual Elements
- Antique map styling with route lines
- Compass roses and navigation elements
- Specimen-style drawings
- Handwritten annotations
- Rope, leather, brass decorative motifs
- Vintage photograph frames
- Aged paper edge effects
- Historical document styling
## Style Rules
### Do
- Apply consistent aged texture
- Use period-appropriate styling
- Include map and journey elements
- Create layered compositions
- Maintain warm sepia tones
### Don't
- Use modern digital styling
- Create crisp clean edges
- Use cold or bright colors
- Add contemporary elements
- Make it look new or fresh
## Best For
Historical articles, travel and exploration, biography pieces, heritage stories, scientific discovery narratives, museum-style content, classic literature references

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# warm
Friendly, approachable illustration style for human-centered content
## Design Aesthetic
Warm and inviting visual approach that feels personal and approachable. Soft, friendly colors that evoke comfort and connection. Emphasizes human elements and emotional resonance. Creates an atmosphere of trust and openness.
## Background
- Color: Cream (#FFFAF0) or Soft Peach (#FED7AA)
- Texture: Soft paper texture with warm undertones
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Cream | #FFFAF0 | Primary background |
| Alt Background | Soft Peach | #FED7AA | Accent sections |
| Primary | Warm Orange | #ED8936 | Main accent color |
| Secondary | Golden Yellow | #F6AD55 | Supporting warmth |
| Tertiary | Terracotta | #C05621 | Earthy depth |
| Accent | Deep Brown | #744210 | Grounding elements |
| Alt Accent | Soft Red | #E53E3E | Emotional touches |
| Text | Warm Charcoal | #4A4A4A | Text elements |
## Visual Elements
- Rounded shapes and soft corners
- Friendly character illustrations
- Sun rays and warm light motifs
- Heart symbols and care icons
- Cozy lighting effects
- Gentle gradients with warmth
- Soft shadows without harsh edges
- Hand-drawn quality touches
## Style Rules
### Do
- Use warm, inviting colors
- Create rounded, friendly shapes
- Include human-centered elements
- Evoke feelings of comfort
- Maintain soft, gentle contrasts
### Don't
- Use cold or stark colors
- Create sharp, aggressive shapes
- Add technical or clinical elements
- Use dark, moody backgrounds
- Create sterile compositions
## Best For
Personal growth articles, lifestyle content, education, human interest stories, wellness topics, relationship advice, self-help content, community building

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# watercolor
Soft, artistic watercolor illustration style with natural warmth
## Design Aesthetic
Gentle watercolor aesthetic with visible brush strokes and natural color bleeding. Hand-painted feel with soft edges and organic shapes. Warm, approachable, and artistically refined. Combines artistic expression with clear visual communication.
## Background
- Color: Warm Off-White (#FAF8F0) or Soft Cream (#FFF9E6)
- Texture: Subtle watercolor paper texture with visible grain
## Color Palette
| Role | Color | Hex | Usage |
|------|-------|-----|-------|
| Background | Warm Off-White | #FAF8F0 | Primary background |
| Primary | Soft Coral | #F4A261 | Primary warmth |
| Secondary | Dusty Rose | #E8A0A0 | Secondary warmth |
| Tertiary | Sage Green | #87A96B | Nature, growth |
| Accent 1 | Sky Blue | #7EC8E3 | Water, calm |
| Accent 2 | Soft Lavender | #C5B4E3 | Accent, creativity |
| Wash | Pale Yellow | #FFF3C4 | Background washes |
| Text | Warm Charcoal | #3D3D3D | Text elements |
## Visual Elements
- Watercolor washes as backgrounds
- Illustrated elements with visible brush strokes
- Natural elements: leaves, flowers, bubbles
- Color bleeds and soft edges
- Hand-drawn arrows and lines
- Layered wash effects
- Soft gradients through water
- Expressive character illustrations
## Style Rules
### Do
- Allow color to bleed beyond edges
- Use visible brush stroke textures
- Create soft, organic shapes
- Include hand-drawn quality
- Maintain warm color palette
### Don't
- Use sharp geometric shapes
- Create hard digital edges
- Use cold or stark colors
- Add photographic elements
- Create overly precise illustrations
## Best For
Lifestyle articles, wellness content, travel pieces, food and cooking, personal stories, creative topics, artistic portfolios, warm educational content

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# Usage
## Command Syntax
```bash
# Auto-select type and style based on content
/baoyu-article-illustrator path/to/article.md
# Specify type
/baoyu-article-illustrator path/to/article.md --type infographic
# Specify style
/baoyu-article-illustrator path/to/article.md --style blueprint
# Combine type and style
/baoyu-article-illustrator path/to/article.md --type flowchart --style notion
# Specify density
/baoyu-article-illustrator path/to/article.md --density rich
# Generate up to 4 images in parallel after prompts are saved
/baoyu-article-illustrator path/to/article.md --batch-size 4
# Direct content input (paste mode)
/baoyu-article-illustrator
[paste content]
```
## Options
| Option | Description |
|--------|-------------|
| `--type <name>` | Illustration type (see Type Gallery in SKILL.md) |
| `--style <name>` | Visual style (see references/styles.md) |
| `--preset <name>` | Shorthand for type + style combo (see [references/style-presets.md](references/style-presets.md)) |
| `--density <level>` | Image count: minimal / balanced / rich |
| `--batch-size <n>` | Temporary generation batch size for this run. Default: `generation_batch_size` from EXTEND.md, otherwise 4. Clamp to 1-8. |
## Input Modes
| Mode | Trigger | Output Directory |
|------|---------|------------------|
| File path | `path/to/article.md` | Use `default_output_dir` preference, or ask if not set |
| Paste content | No path argument | `illustrations/{topic-slug}/` |
## Output Directory Options
| Value | Path |
|-------|------|
| `same-dir` | `{article-dir}/` |
| `illustrations-subdir` | `{article-dir}/illustrations/` |
| `independent` | `illustrations/{topic-slug}/` |
Configure in EXTEND.md: `default_output_dir: illustrations-subdir`
## Examples
**Technical article with data**:
```bash
/baoyu-article-illustrator api-design.md --type infographic --style blueprint
```
**Same thing with preset**:
```bash
/baoyu-article-illustrator api-design.md --preset tech-explainer
```
**Personal story**:
```bash
/baoyu-article-illustrator journey.md --preset storytelling
```
**Tutorial with steps**:
```bash
/baoyu-article-illustrator how-to-deploy.md --preset tutorial --density rich
```
**Opinion article with poster style**:
```bash
/baoyu-article-illustrator opinion.md --preset opinion-piece
```
**Preset with override**:
```bash
/baoyu-article-illustrator article.md --preset tech-explainer --style notion
```

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# Detailed Workflow Procedures
## Step 1: Pre-check
### 1.0 Detect & Save Reference Images ⚠️ REQUIRED if images provided
Check if user provided reference images. Handle based on input type:
| Input Type | Action |
|------------|--------|
| Image file path provided | Copy to `references/` subdirectory → can use `--ref` |
| Image in conversation (no path) | **ASK user for file path** with AskUserQuestion |
| User can't provide path | Extract style/palette verbally → append to prompts (NO frontmatter references) |
**CRITICAL**: Only add `references` to prompt frontmatter if files are ACTUALLY SAVED to `references/` directory.
**If user provides file path**:
1. Copy to `references/NN-ref-{slug}.png`
2. Create description: `references/NN-ref-{slug}.md`
3. Verify files exist before proceeding
**If user can't provide path** (extracted verbally):
1. Analyze image visually, extract: colors, style, composition
2. Create `references/extracted-style.md` with extracted info
3. DO NOT add `references` to prompt frontmatter
4. Instead, append extracted style/colors directly to prompt text
**Description File Format** (only when file saved):
```yaml
---
ref_id: NN
filename: NN-ref-{slug}.png
---
[User's description or auto-generated description]
```
**Verification** (only for saved files):
```
Reference Images Saved:
- 01-ref-{slug}.png ✓ (can use --ref)
- 02-ref-{slug}.png ✓ (can use --ref)
```
**Or for extracted style**:
```
Reference Style Extracted (no file):
- Colors: #E8756D coral, #7ECFC0 mint...
- Style: minimal flat vector, clean lines...
→ Will append to prompt text (not --ref)
```
---
### 1.1 Determine Input Type
| Input | Output Directory | Next |
|-------|------------------|------|
| File path | EXTEND.md `default_output_dir` (default: `imgs-subdir`). If not configured, confirm in 1.2. | → 1.2 |
| Pasted content | `illustrations/{topic-slug}/` | → 1.4 |
**Backup rule for pasted content**: If `source.md` exists in target directory, rename to `source-backup-YYYYMMDD-HHMMSS.md` before saving.
### 1.2-1.4 Configuration (file path input only)
Check preferences and existing state, then ask ALL needed questions in ONE AskUserQuestion call (max 4 questions).
**Questions to include** (skip if preference exists or not applicable):
| Question | When to Ask | Options |
|----------|-------------|---------|
| Output directory | No `default_output_dir` in EXTEND.md | `{article-dir}/imgs/` (Recommended), `{article-dir}/`, `{article-dir}/illustrations/`, `illustrations/{topic-slug}/` |
| Existing images | Target dir has `.png/.jpg/.webp` files | `supplement`, `overwrite`, `regenerate` |
| Article update | Always (file path input) | `update`, `copy` |
**Preference Values** (if configured, skip asking):
| `default_output_dir` | Path |
|----------------------|------|
| `same-dir` | `{article-dir}/` |
| `imgs-subdir` | `{article-dir}/imgs/` |
| `illustrations-subdir` | `{article-dir}/illustrations/` |
| `independent` | `illustrations/{topic-slug}/` |
### 1.5 Load Preferences (EXTEND.md) ⛔ BLOCKING
**CRITICAL**: If EXTEND.md not found, MUST complete first-time setup before ANY other questions or steps. Do NOT proceed to reference images, do NOT ask about content, do NOT ask about type/style — ONLY complete the preferences setup first.
```bash
# macOS, Linux, WSL, Git Bash
test -f .baoyu-skills/baoyu-article-illustrator/EXTEND.md && echo "project"
test -f "${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-article-illustrator/EXTEND.md" && echo "xdg"
test -f "$HOME/.baoyu-skills/baoyu-article-illustrator/EXTEND.md" && echo "user"
```
```powershell
# PowerShell (Windows)
if (Test-Path .baoyu-skills/baoyu-article-illustrator/EXTEND.md) { "project" }
$xdg = if ($env:XDG_CONFIG_HOME) { $env:XDG_CONFIG_HOME } else { "$HOME/.config" }
if (Test-Path "$xdg/baoyu-skills/baoyu-article-illustrator/EXTEND.md") { "xdg" }
if (Test-Path "$HOME/.baoyu-skills/baoyu-article-illustrator/EXTEND.md") { "user" }
```
| Result | Action |
|--------|--------|
| Found | Read, parse, display summary → Continue |
| Not found | ⛔ **BLOCKING**: Run first-time setup ONLY ([config/first-time-setup.md](config/first-time-setup.md)) → Complete and save EXTEND.md → Then continue |
**Supports**: Watermark | Preferred type/style | Custom styles | Language | Output directory
---
## Step 2: Setup & Analyze
### 2.1 Analyze Content
| Analysis | Description |
|----------|-------------|
| Content type | Technical / Tutorial / Methodology / Narrative |
| Illustration purpose | information / visualization / imagination |
| Core arguments | 2-5 main points to visualize |
| Visual opportunities | Positions where illustrations add value |
| Recommended type | Based on content signals and purpose |
| Recommended density | Based on length and complexity |
### 2.2 Extract Core Arguments
- Main thesis
- Key concepts reader needs
- Comparisons/contrasts
- Framework/model proposed
**CRITICAL**: If article uses metaphors (e.g., "电锯切西瓜"), do NOT illustrate literally. Visualize the **underlying concept**.
### 2.3 Identify Positions
**Illustrate**:
- Core arguments (REQUIRED)
- Abstract concepts
- Data comparisons
- Processes, workflows
**Do NOT Illustrate**:
- Metaphors literally
- Decorative scenes
- Generic illustrations
### 2.4 Analyze Reference Images (if provided in Step 1.0)
For each reference image:
| Analysis | Description |
|----------|-------------|
| Visual characteristics | Style, colors, composition |
| Content/subject | What the reference depicts |
| Suitable positions | Which sections match this reference |
| Style match | Which illustration types/styles align |
| Usage recommendation | `direct` / `style` / `palette` |
| Usage | When to Use |
|-------|-------------|
| `direct` | Reference matches desired output closely |
| `style` | Extract visual style characteristics only |
| `palette` | Extract color scheme only |
---
## Step 3: Confirm Settings ⚠️
**Do NOT skip.** Use ONE AskUserQuestion call with max 4 questions. **Q1, Q2, Q3 are ALL REQUIRED.**
### Q1: Preset or Type ⚠️ REQUIRED
Based on Step 2 content analysis, recommend a preset first (sets both type & style). Look up [style-presets.md](style-presets.md) "Content Type → Preset Recommendations" table.
- [Recommended preset] — [brief: type + style + why] (Recommended)
- [Alternative preset] — [brief]
- Or choose type manually: infographic / scene / flowchart / comparison / framework / timeline / mixed
**Default**: if Step 2 found no strong content signal, the recommended preset MUST be `hand-drawn-edu` (infographic + sketch-notes + macaron — warm cream paper, black hand-drawn lines, soft pastel blocks). This is the universal fallback.
**If user picks a preset → skip Q3** (type & style both resolved).
**If user picks a type → Q3 is REQUIRED.**
### Q2: Density ⚠️ REQUIRED - DO NOT SKIP
- minimal (1-2) - Core concepts only
- balanced (3-5) - Major sections
- per-section - At least 1 per section/chapter (Recommended)
- rich (6+) - Comprehensive coverage
### Q3: Style ⚠️ REQUIRED (skip if preset chosen in Q1)
If EXTEND.md has `preferred_style`:
- [Custom style name + brief description] (Recommended)
- [Top compatible core style 1]
- [Top compatible core style 2]
- Other (see full Style Gallery)
If no `preferred_style` (present Core Styles first):
- [Best compatible core style] (Recommended)
- [Other compatible core style 1]
- [Other compatible core style 2]
- Other (see full Style Gallery)
**Core Styles** (simplified selection):
| Core Style | Maps To | Best For |
|------------|---------|----------|
| `hand-drawn` | sketch-notes | **Default.** Warm cream paper, black hand-drawn lines, pastel blocks — educational infographics, concept explainers, onboarding, general knowledge articles |
| `minimal-flat` | notion | General, knowledge sharing, SaaS |
| `sci-fi` | blueprint | AI, frontier tech, system design |
| `editorial` | editorial | Processes, data, journalism |
| `scene` | warm/watercolor | Narratives, emotional, lifestyle |
| `poster` | screen-print | Opinion, editorial, cultural, cinematic |
**Default recommendation**: when Step 2 surfaces no strong content signal, recommend **`hand-drawn-edu`** preset (→ infographic + sketch-notes + macaron) as the primary option in Q1. When the user picks a type manually without a preferred_style, recommend `sketch-notes` first in Q3.
Style selection based on Type × Style compatibility matrix (styles.md).
**In Step 5.1**, read `styles/<style>.md` for visual elements and rendering rules.
### Q4: Palette (optional)
If preset did not specify a palette, and the user may benefit from a palette override, offer available palettes:
- Default (use style's built-in colors) (Recommended)
- `macaron` — soft pastel blocks on warm cream
- `warm` — warm earth tones, no cool colors
- `neon` — vibrant neon on dark backgrounds
**Skip if**: preset already resolved palette, or `preferred_palette` set in EXTEND.md.
See Palette Gallery in [styles.md](styles.md#palette-gallery) and full specs in `palettes/<palette>.md`.
### Q5: Image Text Language ⚠️ REQUIRED when article language ≠ EXTEND.md `language`
Detect article language from content. If different from EXTEND.md `language` setting, MUST ask:
- Article language (match article content) (Recommended)
- EXTEND.md language (user's general preference)
**Skip only if**: Article language matches EXTEND.md `language`, or EXTEND.md has no `language` setting.
### Display Reference Usage (if references detected in Step 1.0)
When presenting outline preview to user, show reference assignments:
```
Reference Images:
| Ref | Filename | Recommended Usage |
|-----|----------|-------------------|
| 01 | 01-ref-diagram.png | direct → Illustration 1, 3 |
| 02 | 02-ref-chart.png | palette → Illustration 2 |
```
---
## Step 4: Generate Outline
Save as `{output-dir}/outline.md` (all paths below are relative to the output directory determined in Step 1.1/1.2):
```yaml
---
type: infographic
density: balanced
style: blueprint
image_count: 4
references: # Only if references provided
- ref_id: 01
filename: 01-ref-diagram.png
description: "Technical diagram showing system architecture"
- ref_id: 02
filename: 02-ref-chart.png
description: "Color chart with brand palette"
---
## Illustration 1
**Position**: [section] / [paragraph]
**Purpose**: [why this helps]
**Visual Content**: [what to show]
**Type Application**: [how type applies]
**References**: [01] # Optional: list ref_ids used
**Reference Usage**: direct # direct | style | palette
**Filename**: 01-infographic-concept-name.png
## Illustration 2
...
```
**Requirements**:
- Each position justified by content needs
- Type applied consistently
- Style reflected in descriptions
- Count matches density
- References assigned based on Step 2.4 analysis
---
## Step 5: Generate Images
### 5.1 Create Prompts ⛔ BLOCKING
**Every illustration MUST have a saved prompt file before generation begins. DO NOT skip this step.**
For each illustration in the outline:
1. **Create prompt file**: `{output-dir}/prompts/NN-{type}-{slug}.md`
2. **Include YAML frontmatter**:
```yaml
---
illustration_id: 01
type: infographic
style: custom-flat-vector
---
```
3. **Load style specs**: Read `styles/<style>.md` for visual elements, style rules, and rendering instructions
4. **Load palette specs** (if palette specified): Read `palettes/<palette>.md` for colors and background. Palette colors **replace** the style's default Color Palette. If no palette specified, use the style's built-in colors.
5. **Follow type-specific template** from [prompt-construction.md](prompt-construction.md), using rendering from style + colors from palette (or style default)
6. **Prompt quality requirements** (all REQUIRED):
- `Layout`: Describe overall composition (grid / radial / hierarchical / left-right / top-down)
- `ZONES`: Describe each visual area with specific content, not vague descriptions
- `LABELS`: Use **actual numbers, terms, metrics, quotes from the article** — NOT generic placeholders
- `COLORS`: Specify hex codes from palette (or style default) with semantic meaning
- `STYLE`: Describe line treatment, texture, mood, character rendering per style rules
- `ASPECT`: Specify ratio (e.g., `16:9`)
7. **Apply defaults**: composition requirements, character rendering, text guidelines, watermark
8. **Backup rule**: If prompt file exists, rename to `prompts/NN-{type}-{slug}-backup-YYYYMMDD-HHMMSS.md`
**Verification** ⛔: Before proceeding to 5.2, confirm ALL prompt files exist:
```
Prompt Files:
- prompts/01-infographic-overview.md ✓
- prompts/02-infographic-distillation.md ✓
...
```
**DO NOT** pass ad-hoc inline text to `--prompt` without first saving prompt files. The generation command should either use `--promptfiles prompts/NN-{type}-{slug}.md` or read the saved file content for `--prompt`.
**Execution choice**:
- If multiple illustrations already have saved prompt files and the task is now plain generation, use batch generation by default.
- Prefer the chosen backend's native batch / multi-task interface when available.
- If the backend has no native batch interface but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` tasks at a time. Default: `4`. The current user request overrides EXTEND.md.
- Generate sequentially only when neither backend batch nor runtime parallel calls are available.
- Use subagents only when each illustration still needs separate prompt rewriting, style exploration, or other per-image reasoning before generation. Do not use subagents just to parallelize rendering.
**CRITICAL - References in Frontmatter**:
- Only add `references` field if files ACTUALLY EXIST in `references/` directory
- If style/palette was extracted verbally (no file), append info to prompt BODY instead
- Before writing frontmatter, verify: `test -f references/NN-ref-{slug}.png`
### 5.2 Select Generation Skill
Follow the `## Image Generation Tools` rule at the top of `SKILL.md`. Concretely:
- If `imagegen` is in your available-skills list (Codex), use it — invoke via the `Skill` tool with `skill: "imagegen"`.
- Else if the EXTEND.md pin is available, use it.
- Else if exactly one non-native backend is installed, use it.
- Else, ask the user.
**Do not generate SVG, HTML, or any code-based vector as a substitute for the raster image.** If no raster backend can be resolved, ask the user how to proceed.
### 5.3 Process References ⚠️ REQUIRED if references saved in Step 1.0
**DO NOT SKIP if user provided reference images.** For each illustration with references:
1. **VERIFY files exist first**:
```bash
test -f references/NN-ref-{slug}.png && echo "exists" || echo "MISSING"
```
- If file MISSING but in frontmatter → ERROR, fix frontmatter or remove references field
- If file exists → proceed with processing
2. Read prompt frontmatter for reference info
3. Process based on usage type:
| Usage | Action | Example |
|-------|--------|---------|
| `direct` | Add reference path to `--ref` parameter | `--ref references/01-ref-brand.png` |
| `style` | Analyze reference, append style traits to prompt | "Style: clean lines, gradient backgrounds..." |
| `palette` | Extract colors from reference, append to prompt | "Colors: #E8756D coral, #7ECFC0 mint..." |
4. Check image generation skill capability:
| Skill Supports `--ref` | Action |
|------------------------|--------|
| Yes (e.g., baoyu-image-gen with Google) | Pass reference images via `--ref` |
| No | Convert to text description, append to prompt |
**Verification**: Before generating, confirm reference processing:
```
Reference Processing:
- Illustration 1: using 01-ref-brand.png (direct) ✓
- Illustration 2: extracted palette from 02-ref-style.png ✓
```
### 5.4 Apply Watermark (if enabled)
Add: `Include a subtle watermark "[content]" at [position].`
### 5.5 Generate
1. Build a generation task list from saved prompt files:
- `prompt_file`: `{output-dir}/prompts/NN-{type}-{slug}.md`
- `output_file`: `{output-dir}/NN-{type}-{slug}.png`
- `aspect_ratio`: from prompt frontmatter or prompt body
- `refs`: only verified `direct` references from prompt frontmatter
2. **Backup rule**: Before dispatching a task, if its output image already exists, rename it to `NN-{type}-{slug}-backup-YYYYMMDD-HHMMSS.{ext}`.
3. Dispatch tasks in batches:
- Native batch backend: send all eligible tasks, or chunks of `generation_batch_size` if the backend has a practical limit.
- Runtime parallel calls: issue up to `generation_batch_size` image calls concurrently, then continue with the next chunk.
- Sequential fallback: process one task at a time.
4. After each completed task, record: "Generated X/N: filename".
5. On failure: retry the failed task once from the same saved prompt file. Keep successful outputs and continue.
---
## Step 6: Finalize
### 6.1 Update Article
Insert after corresponding paragraph, using path relative to article file:
| `default_output_dir` | Insert Path |
|----------------------|-------------|
| `imgs-subdir` | `![description](imgs/NN-{type}-{slug}.png)` |
| `same-dir` | `![description](NN-{type}-{slug}.png)` |
| `illustrations-subdir` | `![description](illustrations/NN-{type}-{slug}.png)` |
| `independent` | `![description](illustrations/{topic-slug}/NN-{type}-{slug}.png)` (relative to cwd) |
Alt text: concise description in article's language.
### 6.2 Output Summary
```
Article Illustration Complete!
Article: [path]
Type: [type] | Density: [level] | Style: [style]
Location: [directory]
Images: X/N generated
Positions:
- 01-xxx.png → After "[Section]"
- 02-yyy.png → After "[Section]"
[If failures]
Failed:
- NN-zzz.png: [reason]
```

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---
name: baoyu-comic
description: Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and batch-capable image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".
version: 1.117.4
metadata:
openclaw:
homepage: https://github.com/JimLiu/baoyu-skills#baoyu-comic
requires:
anyBins:
- bun
- npx
---
# Knowledge Comic Creator
Create original knowledge comics with flexible art style × tone combinations.
## User Input Tools
When this skill prompts the user, follow this tool-selection rule (priority order):
1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent.
2. **Fallback**: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
3. **Batching**: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.
Concrete `AskUserQuestion` references below are examples — substitute the local equivalent in other runtimes.
## Image Generation Tools
When this skill needs to render an image, resolve the backend in this order:
1. **Current-request override** — if the user names a specific backend in the current message, use it.
2. **Saved preference** — if `EXTEND.md` sets `preferred_image_backend` to a backend available right now, use it.
3. **Auto-select** (when the preference is `auto`, unset, or the pinned backend isn't available):
- **Codex (`imagegen`)** — first, inspect your available-skills / tool inventory. If a skill named `imagegen` is listed, you are running inside Codex and MUST use it: invoke via the `Skill` tool with `skill: "imagegen"`, passing the saved prompt file's content (plus output path and aspect ratio per Codex `imagegen`'s own args). Codex `imagegen` is the official raster backend in that runtime and outranks any non-native skill (e.g., `baoyu-image-gen`) unless the user has explicitly pinned a different `preferred_image_backend`.
- **Codex via `codex exec` (`codex-imagegen`)** — if the current runtime exposes no native `imagegen` skill but the `codex` CLI is on `PATH` with an active `codex login`, route through `baoyu-image-gen --provider codex-cli` (preferred), or — if baoyu-image-gen is unavailable — invoke the bundled wrapper directly. Details, parameters, and the runtime-discovery procedure live in [references/codex-imagegen.md](references/codex-imagegen.md) — load that file only when this branch is selected.
- **Cursor (`GenerateImage`)** — if the runtime exposes a native `GenerateImage` tool, you are running inside Cursor and it outranks any non-native skill the same way Codex `imagegen` does. Two hard caveats: (a) it has no aspect-ratio parameter — state the target aspect ratio / dimensions explicitly in the prompt text passed as `description`; (b) it does not accept an output directory — it saves to a tool-managed location, so after generation copy/move the file to the skill's expected output path (e.g., `outputs/.../NN-xxx.png`). Reference images go in `reference_image_paths`.
- **Other runtime-native tools** — if the runtime exposes a different native image tool (e.g., Hermes `image_generate`), use it the same way.
- Otherwise, if exactly one non-native backend is installed (e.g., `baoyu-image-gen`), use it.
- Otherwise (multiple non-native backends with no runtime-native tool), ask the user once — batch with any other initial questions.
4. **If none are available**, tell the user and ask how to proceed.
**⛔ Never substitute SVG, HTML, canvas, or other code-based rendering for raster image generation.** Codex `imagegen`'s own description says it should be used "when the output should be a bitmap asset rather than repo-native code or vector." If you cannot resolve a raster backend via step 3, fall through to step 4 and ask the user — do **not** silently emit SVG, write inline `<svg>` markup, or produce HTML/CSS art as a substitute. This applies even if the article/section seems "diagram-like": the consumer skill calling this rule has already decided that a raster image is what it needs.
**⛔ Never repair rendered text by painting over a generated bitmap.** Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace dialogue, sound effects, panel labels, or any other text inside an already generated comic page. If text is wrong or unclear, regenerate from a corrected prompt, redraw the page with less or no on-image text, or ask the user which imperfect candidate to keep.
Setting `preferred_image_backend: ask` forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the `## Changing Preferences` section below.
**Prompt file requirement (hard)**: write each image's full, final prompt to a standalone file under `prompts/` (naming: `NN-{type}-[slug].md`) BEFORE invoking any backend. The backend receives the prompt file (or its content); the file is the reproducibility record and lets you switch backends without regenerating prompts.
Concrete tool names (`imagegen`, `GenerateImage`, `image_generate`, `baoyu-image-gen`) above are examples — substitute the local equivalents under the same rule.
## Batch Generation Policy
After every prompt file for the current generation group has been saved and verified, generate images in batches by default.
Priority order:
1. Use the chosen backend's native batch / multi-task interface if it exists. Each task must keep its own prompt file, output path, aspect ratio, session ID, and direct reference images.
2. If no native batch interface exists but the runtime can issue parallel tool calls, dispatch up to `generation_batch_size` images at a time. Default: `4`. An explicit user request in the current message, such as `--batch-size 4` or "并行4张一起生成", overrides EXTEND.md.
3. If neither native batch nor parallel tool calls are available, generate sequentially.
Rules:
- Honor workflow dependencies first: generate `characters/characters.png` before pages that use it as a reference.
- Never start the first page batch until all selected page prompt files exist on disk.
- Retry failed items once without regenerating successful items.
- Do not use subagents merely to parallelize image rendering. Use subagents only for separate prompt iteration or creative exploration.
## Reference Images
Users may supply reference images to guide art style, palette, scene composition, or subject. This is **separate from** the auto-generated character sheet (Step 7.1) — both can coexist: user refs guide the look, the character sheet anchors recurring character identity.
**Intake**: Accept via `--ref <files...>` or when the user provides file paths / pastes images in conversation.
- File path(s) → copy to `refs/NN-ref-{slug}.{ext}` alongside the comic output
- Pasted image with no path → ask the user for the path (per the User Input Tools rule above), or extract style traits verbally as a text fallback
- No reference → skip this section
**Usage modes** (per reference):
| Usage | Effect |
|-------|--------|
| `direct` | Pass the file to the backend as a reference image on every page (or selected pages) |
| `style` | Extract style traits (line treatment, texture, mood) and append to every page's prompt body |
| `palette` | Extract hex colors and append to every page's prompt body |
**Record in each page's prompt frontmatter** when refs exist:
```yaml
references:
- ref_id: 01
filename: 01-ref-scene.png
usage: direct
```
**At generation time**:
- Verify each referenced file exists on disk
- If `usage: direct` AND the chosen backend accepts multiple reference images → pass both the character sheet (Step 7.2) and the user refs via the backend's ref parameter; compress images first per Step 7.1's guidance to avoid payload failures
- If the backend accepts only one ref → prefer the character sheet for pages with recurring characters; embed user-ref traits in the prompt body instead
- For `style`/`palette` usage → embed extracted traits in every page's prompt text (applies regardless of backend capability)
## Options
### Visual Dimensions
| Option | Values | Description |
|--------|--------|-------------|
| `--art` | ligne-claire (default), manga, realistic, ink-brush, chalk, minimalist | Art style / rendering technique |
| `--tone` | neutral (default), warm, dramatic, romantic, energetic, vintage, action | Mood / atmosphere |
| `--layout` | standard (default), cinematic, dense, splash, mixed, webtoon, four-panel | Panel arrangement |
| `--aspect` | 3:4 (default, portrait), 4:3 (landscape), 16:9 (widescreen) | Page aspect ratio |
| `--lang` | auto (default), zh, en, ja, etc. | Output language |
| `--ref <files...>` | File paths | Reference images applied to every page for style / palette / scene guidance. See [Reference Images](#reference-images) above. |
| `--batch-size <n>` | 1-8 | Temporary page generation batch size for this run. Default: `generation_batch_size` from EXTEND.md, otherwise 4. |
### Partial Workflow Options
| Option | Description |
|--------|-------------|
| `--storyboard-only` | Generate storyboard only, skip prompts and images |
| `--prompts-only` | Generate storyboard + prompts, skip images |
| `--images-only` | Generate images from existing prompts directory |
| `--regenerate N` | Regenerate specific page(s) only (e.g., `3` or `2,5,8`) |
Details: [references/partial-workflows.md](references/partial-workflows.md)
### Art, Tone & Preset Catalogue
- **Art styles** (6): `ligne-claire`, `manga`, `realistic`, `ink-brush`, `chalk`, `minimalist`. Full definitions at `references/art-styles/<style>.md`.
- **Tones** (7): `neutral`, `warm`, `dramatic`, `romantic`, `energetic`, `vintage`, `action`. Full definitions at `references/tones/<tone>.md`.
- **Presets** (5) with special rules beyond plain art+tone:
| Preset | Equivalent | Hook |
|--------|-----------|------|
| `ohmsha` | manga + neutral | Visual metaphors, no talking heads, gadget reveals |
| `wuxia` | ink-brush + action | Qi effects, combat visuals, atmospheric |
| `shoujo` | manga + romantic | Decorative elements, eye details, romantic beats |
| `concept-story` | manga + warm | Visual symbol system, growth arc, dialogue+action balance |
| `four-panel` | minimalist + neutral + four-panel layout | 起承转合 structure, B&W + spot color, stick-figure characters |
Full rules at `references/presets/<preset>.md` — load the file when a preset is picked.
- **Compatibility matrix** and **content-signal → preset** table live in [references/auto-selection.md](references/auto-selection.md). Read it before recommending combinations in Step 2.
## Script Directory
**Important**: All scripts are located in the `scripts/` subdirectory of this skill.
**Agent Execution Instructions**:
1. Determine this SKILL.md file's directory path as `{baseDir}`
2. Script path = `{baseDir}/scripts/<script-name>.ts`
3. Replace all `{baseDir}` in this document with the actual path
4. Resolve `${BUN_X}` runtime: if `bun` installed → `bun`; if `npx` available → `npx -y bun`; else suggest installing bun
**Script Reference**:
| Script | Purpose |
|--------|---------|
| `scripts/merge-to-pdf.ts` | Merge comic pages into PDF |
## File Structure
Output directory: `comic/{topic-slug}/`
- Slug: 2-4 words kebab-case from topic (e.g., `alan-turing-bio`)
- Conflict: append timestamp (e.g., `turing-story-20260118-143052`)
**Contents**:
| File | Description |
|------|-------------|
| `source-{slug}.{ext}` | Source files |
| `analysis.md` | Content analysis |
| `storyboard.md` | Storyboard with panel breakdown |
| `characters/characters.md` | Character definitions |
| `characters/characters.png` | Character reference sheet |
| `prompts/NN-{cover\|page}-[slug].md` | Generation prompts |
| `NN-{cover\|page}-[slug].png` | Generated images |
| `{topic-slug}.pdf` | Final merged PDF |
## Language Handling
**Detection Priority**:
1. `--lang` flag (explicit)
2. EXTEND.md `language` setting
3. User's conversation language
4. Source content language
**Rule**: Use user's input language or saved language preference for ALL interactions:
- Storyboard outlines and scene descriptions
- Image generation prompts
- User selection options and confirmations
- Progress updates, questions, errors, summaries
Technical terms remain in English.
## Workflow
### Progress Checklist
```
Comic Progress:
- [ ] Step 1: Setup & Analyze
- [ ] 1.1 Preferences (EXTEND.md) ⛔ BLOCKING
- [ ] Found → load preferences → continue
- [ ] Not found → run first-time setup → MUST complete before other steps
- [ ] 1.2 Analyze, 1.3 Check existing
- [ ] Step 2: Confirmation - Style & options ⚠️ REQUIRED
- [ ] Step 3: Generate storyboard + characters
- [ ] Step 4: Review outline (conditional)
- [ ] Step 5: Generate prompts
- [ ] Step 6: Review prompts (conditional)
- [ ] Step 7: Generate images
- [ ] 7.1 Generate character sheet (if needed) → characters/characters.png
- [ ] 7.2 Generate pages (with --ref if character sheet exists)
- [ ] Step 8: Merge to PDF
- [ ] Step 9: Completion report
```
### Flow
```
Input → [Preferences] ─┬─ Found → Continue
│
└─ Not found → First-Time Setup ⛔ BLOCKING
│
└─ Complete setup → Save EXTEND.md → Continue
│
┌─────────────────────────────────────────────────────────────────────┘
↓
Analyze → [Check Existing?] → [Confirm: Style + Reviews] → Storyboard → [Review?] → Prompts → [Review?] → Images → PDF → Complete
```
### Step Summary
| Step | Action | Key Output |
|------|--------|------------|
| 1.1 | Load EXTEND.md preferences ⛔ BLOCKING if not found | Config loaded |
| 1.2 | Analyze content | `analysis.md` |
| 1.3 | Check existing directory | Handle conflicts |
| 2 | Confirm style, focus, audience, reviews | User preferences |
| 3 | Generate storyboard + characters | `storyboard.md`, `characters/` |
| 4 | Review outline (if requested) | User approval |
| 5 | Generate prompts | `prompts/*.md` |
| 6 | Review prompts (if requested) | User approval |
| 7.1 | Generate character sheet (if needed) | `characters/characters.png` |
| 7.2 | Generate pages (with character ref if available) | `*.png` files |
| 8 | Merge to PDF | `{slug}.pdf` |
| 9 | Completion report | Summary |
### Step 7: Image Generation
**Pick a backend once per session** using the `## Image Generation Tools` rule at the top. If the backend is a repo skill (e.g., `baoyu-image-gen`), read its `SKILL.md` and use its documented interface rather than its scripts.
**`codex-imagegen` invocation**: when the rule resolves to `codex-imagegen`, see [references/codex-imagegen.md](references/codex-imagegen.md) for the invocation contract (preferred `baoyu-image-gen --provider codex-cli` path, runtime wrapper discovery, parameter notes, stdout schema, batch semantics — n=1 per call so page batches must dispatch one wrapper call per page).
**7.1 Character sheet** — generate it (to `characters/characters.png`, aspect `4:3`) when the comic is multi-page with recurring characters. Skip for simple presets (e.g., four-panel minimalist) or single-page comics. Compress to JPEG before use-as-`--ref` (`sips -s format jpeg -s formatOptions 80 …` on macOS, `pngquant --quality=65-80 …` elsewhere) to avoid payload failures. The prompt file at `characters/characters.md` must exist before invoking the backend.
**7.2 Pages** — each page's prompt MUST already be at `prompts/NN-{cover|page}-[slug].md` before invoking the backend; the file is the reproducibility record. Strategy depends on the character sheet:
| Character sheet | Backend `--ref` | Strategy |
|-----------------|-----------------|----------|
| Exists | Supported | Pass sheet as `--ref` on every page |
| Exists | Not supported | Prepend character descriptions to every prompt file |
| Skipped | — | All descriptions inline in prompt |
**Execution strategy**: Generate the character sheet first when needed. Then build the selected page task list from saved prompt files and dispatch pages in batches per the `## Batch Generation Policy`: backend native batch first, runtime parallel tool calls second, sequential only as fallback. `--regenerate N` and `--images-only` apply the same batching rules to the selected existing prompts.
**Backup rule**: existing `prompts/…md` and `…png` files → rename with `-backup-YYYYMMDD-HHMMSS` suffix before regenerating. Aspect ratio from storyboard (default `3:4`; preset may override).
**`--ref` failure recovery**: compress sheet → retry → still fails → drop `--ref` and embed character descriptions in the prompt text.
Full step-by-step workflow (analysis, storyboard, review gates, regeneration variants): [references/workflow.md](references/workflow.md).
### EXTEND.md Paths ⛔ BLOCKING
If EXTEND.md is not found, first-time setup is **blocking** — complete it before any content analysis or style/tone questions.
| Priority | Path | Scope |
|----------|------|-------|
| 1 | `.baoyu-skills/baoyu-comic/EXTEND.md` | Project |
| 2 | `$HOME/.baoyu-skills/baoyu-comic/EXTEND.md` | User home |
| Result | Action |
|--------|--------|
| Found | Read, parse, display summary → continue |
| Not found | ⛔ Run first-time setup ([references/config/first-time-setup.md](references/config/first-time-setup.md)) → save EXTEND.md → continue |
**EXTEND.md supports**: watermark, preferred art/tone/layout, custom style definitions, character presets, language preference, preferred image backend, generation batch size. Schema: [references/config/preferences-schema.md](references/config/preferences-schema.md).
## References
**Core Templates**:
- [analysis-framework.md](references/analysis-framework.md) - Deep content analysis
- [character-template.md](references/character-template.md) - Character definition format
- [storyboard-template.md](references/storyboard-template.md) - Storyboard structure
- [ohmsha-guide.md](references/ohmsha-guide.md) - Ohmsha manga specifics
**Style Definitions**:
- `references/art-styles/` - Art styles (ligne-claire, manga, realistic, ink-brush, chalk, minimalist)
- `references/tones/` - Tones (neutral, warm, dramatic, romantic, energetic, vintage, action)
- `references/presets/` - Presets with special rules (ohmsha, wuxia, shoujo, concept-story, four-panel)
- `references/layouts/` - Layouts (standard, cinematic, dense, splash, mixed, webtoon, four-panel)
**Workflow**:
- [workflow.md](references/workflow.md) - Full workflow details
- [auto-selection.md](references/auto-selection.md) - Content signal analysis
- [partial-workflows.md](references/partial-workflows.md) - Partial workflow options
**Config**:
- [config/preferences-schema.md](references/config/preferences-schema.md) - EXTEND.md schema
- [config/first-time-setup.md](references/config/first-time-setup.md) - First-time setup
- [config/watermark-guide.md](references/config/watermark-guide.md) - Watermark configuration
## Page Modification
| Action | Steps |
|--------|-------|
| **Edit** | **Update prompt file FIRST** → `--regenerate N` → Regenerate PDF |
| **Add** | Create prompt at position → Generate with character ref → Renumber subsequent → Update storyboard → Regenerate PDF |
| **Delete** | Remove files → Renumber subsequent → Update storyboard → Regenerate PDF |
**IMPORTANT**: When updating pages, ALWAYS update the prompt file (`prompts/NN-{cover|page}-[slug].md`) FIRST before regenerating. This ensures changes are documented and reproducible.
Text correction policy:
- If dialogue, sound effects, panel labels, or any other rendered text is misspelled, garbled, hard to read, or visually weak, do not patch the bitmap with code.
- For text-correction regenerations, write a new prompt file and a new output path so the flawed candidate is preserved for comparison.
- Post-processing is limited to crop, resize, compression, or format conversion that does not alter text or the main composition.
## Notes
- Image generation: 10-30 seconds per page
- Auto-retry once on generation failure
- Use stylized alternatives for sensitive public figures
- Maintain style consistency via session ID
- **Step 2 confirmation required** - do not skip
- **Steps 4/6 conditional** - only if user requested in Step 2
- **Step 7.1 character sheet** - recommended for multi-page comics, optional for simple presets
- **Step 7.2 character reference** - use `--ref` if sheet exists; compress/convert on failure; fall back to prompt-only
- Watermark/language configured once in EXTEND.md
## Changing Preferences
EXTEND.md lives at `.baoyu-skills/baoyu-comic/EXTEND.md` (project) or `~/.baoyu-skills/baoyu-comic/EXTEND.md` (user). Three ways to change it:
- **Edit directly** — open EXTEND.md and change fields. Full schema: `references/config/preferences-schema.md`.
- **Reconfigure interactively** — delete EXTEND.md (or ask "reconfigure baoyu-comic preferences" / "重新配置"). The next run re-triggers first-time setup.
- **Common one-line edits**:
- `preferred_image_backend: auto` — default; runtime-native tool wins, falls back to the only installed backend, asks only if multiple non-native are present.
- `preferred_image_backend: codex-imagegen` — pin to Codex's built-in.
- `preferred_image_backend: baoyu-image-gen` — pin to the baoyu-image-gen skill.
- `preferred_image_backend: ask` — confirm backend every run.
- `generation_batch_size: 4` — default number of page images to render concurrently when the backend/runtime supports batch or parallel generation.
- `watermark.enabled: true`, `preferred_art`, `preferred_tone`, `preferred_layout`, `language` — shift the auto-selection defaults and cosmetic choices.

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# Comic Content Analysis Framework
Deep analysis framework for transforming source content into effective visual storytelling.
## Purpose
Before creating a comic, thoroughly analyze the source material to:
- Identify the target audience and their needs
- Determine what value the comic will deliver
- Extract narrative potential for visual storytelling
- Plan character arcs and key moments
## Analysis Dimensions
### 1. Core Content (Understanding "What")
**Central Message**
- What is the single most important idea readers should take away?
- Can you express it in one sentence?
**Key Concepts**
- What are the essential concepts readers must understand?
- How should these concepts be visualized?
- Which concepts need simplified explanations?
**Content Structure**
- How is the source material organized?
- What is the natural narrative arc?
- Where are the climax and turning points?
**Evidence & Examples**
- What concrete examples, data, or stories support the main ideas?
- Which examples translate well to visual panels?
- What can be shown rather than told?
### 2. Context & Background (Understanding "Why")
**Source Origin**
- Who created this content? What is their perspective?
- What was the original purpose?
- Is there bias to be aware of?
**Historical/Cultural Context**
- When and where does the story take place?
- What background knowledge do readers need?
- What period-specific visual elements are required?
**Underlying Assumptions**
- What does the source assume readers already know?
- What implicit beliefs or values are present?
- Should the comic challenge or reinforce these?
### 3. Audience Analysis
**Primary Audience**
- Who will read this comic?
- What is their existing knowledge level?
- What are their interests and motivations?
**Secondary Audiences**
- Who else might benefit from this comic?
- How might their needs differ?
**Reader Questions**
- What questions will readers have?
- What misconceptions might they bring?
- What "aha moments" can we create?
### 4. Value Proposition
**Knowledge Value**
- What will readers learn?
- What new perspectives will they gain?
- How will this change their understanding?
**Emotional Value**
- What emotions should readers feel?
- What connections will they make with characters?
- What will make this memorable?
**Practical Value**
- Can readers apply what they learn?
- What actions might this inspire?
- What conversations might it spark?
### 5. Narrative Potential
**Story Arc Candidates**
- What natural narratives exist in the content?
- Where is the conflict or tension?
- What transformations occur?
**Character Potential**
- Who are the key figures?
- What are their motivations and obstacles?
- How do they change throughout?
**Visual Opportunities**
- What scenes have strong visual potential?
- Where can abstract concepts become concrete images?
- What metaphors can be visualized?
**Dramatic Moments**
- What are the breakthrough/revelation moments?
- Where are the emotional peaks?
- What creates tension and release?
### 6. Adaptation Considerations
**What to Keep**
- Essential facts and ideas
- Key quotes or moments
- Core emotional beats
**What to Simplify**
- Complex explanations
- Dense technical details
- Lengthy descriptions
**What to Expand**
- Brief mentions that deserve more attention
- Implied emotions or relationships
- Visual details not in source
**What to Omit**
- Tangential information
- Redundant examples
- Content that doesn't serve the narrative
## Output Format
Analysis results should be saved to `analysis.md` with:
1. **YAML Front Matter**: Metadata (title, topic, time_span, source_language, user_language, aspect_ratio, recommended_page_count, recommended_art, recommended_tone, recommended_layout)
2. **Target Audience**: Primary, secondary, tertiary audiences with their needs
3. **Value Proposition**: What readers will gain (knowledge, emotional, practical)
4. **Core Themes**: Table with theme, narrative potential, visual opportunity
5. **Key Figures & Story Arcs**: Character profiles with arcs, visual identity, key moments
6. **Content Signals**: Style and layout recommendations based on content type
7. **Recommended Approaches**: Narrative approaches ranked by suitability
### YAML Front Matter Example
```yaml
---
title: "Alan Turing: The Father of Computing"
topic: alan-turing-biography
time_span: 1912-1954
source_language: en
user_language: zh # From EXTEND.md or detected
aspect_ratio: "3:4"
recommended_page_count: 16
recommended_art: ligne-claire # ligne-claire|manga|realistic|ink-brush|chalk
recommended_tone: neutral # neutral|warm|dramatic|romantic|energetic|vintage|action
recommended_layout: mixed # standard|cinematic|dense|splash|mixed|webtoon
---
```
### Language Fields
| Field | Description |
|-------|-------------|
| `source_language` | Detected language of source content |
| `user_language` | Output language for comic (from EXTEND.md > --lang > source_language) |
## Analysis Checklist
Before proceeding to storyboard:
- [ ] Can I state the core message in one sentence?
- [ ] Do I know exactly who will read this comic?
- [ ] Have I identified at least 3 ways this comic provides value?
- [ ] Are there clear protagonists with compelling arcs?
- [ ] Have I found at least 5 visually powerful moments?
- [ ] Do I understand what to keep, simplify, expand, and omit?
- [ ] Have I identified the emotional peaks and valleys?

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# chalk
粉笔画风 - Chalkboard aesthetic with hand-drawn warmth
## Overview
Classic classroom chalkboard aesthetic with hand-drawn chalk illustrations. Nostalgic educational feel with imperfect, sketchy lines that capture the warmth of traditional teaching.
## Line Work
- Sketchy, imperfect hand-drawn lines
- Chalk texture on all strokes
- Varying line weight from chalk pressure
- Soft edges, no sharp digital lines
- Visible chalk dust effects
## Character Design
- Simplified, friendly character designs
- Stick figures to semi-detailed range
- Expressive through simple gestures
- Approachable, non-intimidating
- Educational presenter style
## Background
- Chalkboard Black (#1A1A1A) or Dark Green-Black (#1C2B1C)
- Realistic chalkboard texture
- Subtle scratches and dust particles
- Faint eraser marks for authenticity
- Wooden frame border optional
## Typography
- Hand-drawn chalk lettering style
- Visible chalk texture on text
- Imperfect baseline adds authenticity
- White or bright colored chalk for emphasis
## Visual Elements
- Hand-drawn chalk illustrations
- Chalk dust effects around elements
- Doodles: stars, arrows, underlines, circles
- Mathematical formulas and diagrams
- Eraser smudges and chalk residue
- Stick figures and simple icons
- Connection lines with hand-drawn feel
## Default Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Background | Chalkboard Black | #1A1A1A |
| Alt Background | Green-Black | #1C2B1C |
| Primary Text | Chalk White | #F5F5F5 |
| Accent 1 | Chalk Yellow | #FFE566 |
| Accent 2 | Chalk Pink | #FF9999 |
| Accent 3 | Chalk Blue | #66B3FF |
| Accent 4 | Chalk Green | #90EE90 |
| Accent 5 | Chalk Orange | #FFB366 |
## Style Rules
### Do
- Maintain authentic chalk texture on all elements
- Use imperfect, hand-drawn quality throughout
- Add subtle chalk dust and smudge effects
- Create visual hierarchy with color variety
- Include playful doodles and annotations
### Don't
- Use perfect geometric shapes
- Create clean digital-looking lines
- Add photorealistic elements
- Use gradients or glossy effects
## Quality Markers
- ✓ Authentic chalk texture throughout
- ✓ Imperfect, hand-drawn quality
- ✓ Readable despite sketchy style
- ✓ Nostalgic classroom feel
- ✓ Effective color hierarchy
- ✓ Playful educational aesthetic
## Compatibility
| Tone | Fit | Notes |
|------|-----|-------|
| neutral | ✓✓ | Classic educational |
| warm | ✓✓ | Nostalgic feel |
| dramatic | ✗ | Style mismatch |
| vintage | ✓ | Old school feel |
| romantic | ✗ | Style mismatch |
| energetic | ✓✓ | Fun learning |
| action | ✗ | Style mismatch |
## Best For
Educational content, tutorials, classroom themes, teaching materials, workshops, informal learning, knowledge sharing

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# ink-brush
水墨画风 - Chinese ink brush aesthetics with dynamic strokes
## Overview
Traditional Chinese ink brush painting style adapted for comics. Combines calligraphic brush strokes with ink wash effects. Creates atmospheric, artistic visuals rooted in East Asian aesthetics.
## Line Work
- 2-3px dynamic brush strokes with varying weight
- Ink wash effects, traditional Chinese brush feel
- Bold, confident strokes with sharp edges
- Flowing lines for fabric and hair
- Pressure-sensitive stroke variation
## Character Design
- Realistic human proportions (7.5-8 head heights)
- Defined features with ink brush definition
- Dynamic poses capturing movement
- Flowing hair and clothing in motion
- Traditional attire options (robes, hanfu)
- Intense, expressive faces
## Brush Techniques
| Technique | Usage |
|-----------|-------|
| Bold strokes | Character outlines |
| Fine lines | Details, hair |
| Ink wash | Atmosphere, shadows |
| Dry brush | Texture, aging |
| Splatter | Impact, drama |
## Background Treatment
- Dramatic landscapes: mountains, waterfalls, temples
- Ink wash atmospheric effects
- Misty, layered depth
- Traditional architecture elements
- High contrast silhouettes
- Negative space as design element
## Color Approach
- Ink gradients as primary
- Limited accent colors
- Traditional Chinese palette
- Atmospheric color washes
- High contrast compositions
## Default Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary | Deep black ink | #1A1A1A |
| Accent | Crimson red | #8B0000 |
| Accent | Imperial gold | #D4AF37 |
| Skin | Natural tan | #D4A574 |
| Background | Misty gray | #9CA3AF |
| Background | Earth tone | #8B7355 |
| Wash | Ink gradient | #2D3748 |
## Visual Elements
- Calligraphic text integration
- Seal stamps (optional)
- Ink splatter effects
- Flowing fabric trails
- Atmospheric mist
- Mountain silhouettes
## Quality Markers
- ✓ Dynamic brush stroke quality
- ✓ Authentic ink wash atmosphere
- ✓ High contrast compositions
- ✓ Flowing movement in fabric/hair
- ✓ Traditional aesthetic elements
- ✓ Atmospheric depth
## Compatibility
| Tone | Fit | Notes |
|------|-----|-------|
| neutral | ✓ | Contemplative stories |
| warm | ✓ | Nostalgic, gentle |
| dramatic | ✓✓ | High contrast |
| vintage | ✓✓ | Historical pieces |
| romantic | ✗ | Style mismatch |
| energetic | ✗ | Too refined |
| action | ✓✓ | Martial arts |
## Best For
Chinese historical stories, martial arts, traditional tales, contemplative narratives, artistic adaptations

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# ligne-claire
清线画风 - Uniform lines, flat colors, European comic tradition
## Overview
Classic European comic style originating from Hergé's Tintin. Characterized by clean, uniform outlines and flat color fills without gradients. Creates a timeless, accessible aesthetic suitable for educational and narrative content.
## Line Work
- Uniform, clean outlines with consistent weight (2px)
- No hatching or cross-hatching for shading
- Sharp, precise edges on all elements
- Black ink outlines on all figures and objects
- Shadows indicated through flat color areas, not line techniques
## Character Design
- Slightly stylized/cartoonish characters with realistic proportions
- Distinctive, recognizable facial features
- Expressive faces with clear emotions
- Period-appropriate clothing with attention to detail
- Consistent character appearance across panels
- 6-7 head height proportions
## Background Treatment
- Detailed, realistic backgrounds with architectural accuracy
- Period-specific props and technology
- Clear spatial depth and perspective
- Environmental storytelling through details
- Contrast between simplified characters and detailed backgrounds
## Color Approach
- Flat colors without gradients (true to Ligne Claire tradition)
- Limited palette per page for cohesion
- Colors support narrative mood
- Consistent lighting logic within scenes
## Default Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary Blue | Clean blue | #3182CE |
| Primary Red | Classic red | #E53E3E |
| Primary Yellow | Warm yellow | #ECC94B |
| Skin | Warm tan | #F7CFAE |
| Background Light | Light cream | #FFFAF0 |
| Background Sky | Sky blue | #BEE3F8 |
## Quality Markers
- ✓ Clean, uniform line weight throughout
- ✓ Flat colors without gradients
- ✓ Detailed backgrounds, stylized characters
- ✓ Clear panel borders and reading flow
- ✓ Hand-drawn text style
- ✓ Proper perspective in environments
## Compatibility
| Tone | Fit | Notes |
|------|-----|-------|
| neutral | ✓✓ | Classic combination |
| warm | ✓✓ | Nostalgic stories |
| dramatic | ✓ | Works with high contrast |
| vintage | ✓ | Period pieces |
| romantic | ✗ | Style mismatch |
| energetic | ✓ | Lighter stories |
| action | ✗ | Lacks dynamic lines |
## Best For
Educational content, balanced narratives, biography comics, historical stories

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# manga
日漫画风 - Anime/manga aesthetics with expressive characters
## Overview
Japanese manga art style characterized by large expressive eyes, dynamic poses, and visual emotion indicators. Versatile style that works across genres from educational to romantic to action.
## Line Work
- Clean, smooth lines (1.5-2px)
- Expressive weight variation for emphasis
- Smooth curves, dynamic strokes
- Speed lines and motion effects available
- Screen tone effects for atmosphere
## Character Design
- Anime/manga proportions: larger eyes, expressive faces
- 5-7 head height proportions (varies by sub-style)
- Clear emotional indicators (!, ?, sweat drops, sparkles)
- Dynamic poses and gestures
- Detailed hair with individual strands
- Fashionable clothing with natural folds
## Eye Styles
| Type | Description |
|------|-------------|
| Standard | Medium-large, 2-3 highlights |
| Educational | Friendly, approachable eyes |
| Dramatic | Intense, detailed irises |
| Cute | Very large, sparkly eyes |
## Background Treatment
- Simplified during dialogue/explanation
- Detailed for establishing shots
- Screen tone gradients for mood
- Abstract backgrounds for emotional moments
- Technical diagrams styled as displays
## Color Approach
- Clean, bright anime colors
- Soft gradients on skin
- Vibrant palette options
- Light and shadow with soft transitions
- Color coding for character identification
## Default Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary Blue | Bright blue | #4299E1 |
| Primary Orange | Warm orange | #ED8936 |
| Primary Green | Soft green | #68D391 |
| Skin | Anime warm | #FEEBC8 |
| Background | Clean white | #FFFFFF |
| Highlight | Golden | #FFD700 |
## Visual Elements
- Speech bubbles: rounded (normal), spiky (excitement)
- Sound effects integrated visually
- Emotion symbols (sweat drops, anger marks, hearts)
- Speed lines and motion blur
- Sparkle and glow effects
## Quality Markers
- ✓ Expressive character faces
- ✓ Clean, consistent line work
- ✓ Dynamic poses and compositions
- ✓ Appropriate use of manga conventions
- ✓ Readable panel flow
- ✓ Consistent character designs
## Compatibility
| Tone | Fit | Notes |
|------|-----|-------|
| neutral | ✓✓ | Educational manga |
| warm | ✓ | Slice of life |
| dramatic | ✓ | Intense moments |
| romantic | ✓✓ | Shoujo style |
| energetic | ✓✓ | Shonen style |
| vintage | ✗ | Style mismatch |
| action | ✓✓ | Battle manga |
## Best For
Educational tutorials, romance, action, coming-of-age, technical explanations, youth-oriented content

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# minimalist
极简画风 - Clean black line art, limited spot color, simplified stick-figure characters
## Overview
Minimalist cartoon illustration characterized by clean black line art on white background with very limited spot color for emphasis. Characters are simplified to near-stick-figure abstraction, focusing on gesture and concept rather than anatomical detail. Designed for business allegory, quick-read educational content, and concept illustration.
## Line Work
- Clean, uniform black lines (1.5-2px)
- No hatching, cross-hatching, or shading techniques
- Minimal detail — every line serves a purpose
- Bold outlines for characters, thinner lines for props/labels
- No decorative flourishes or ornamental lines
## Character Design
- Highly simplified, stick-figure-like business characters
- Circle or oval heads with minimal facial features (dot eyes, simple line mouth)
- Body as simple geometric shapes or line constructions
- Distinguishing features through props only (tie, hat, briefcase, glasses)
- No anatomical detail — expressive through posture and gesture
- 4-5 head height proportions (squat, iconic)
## Background Treatment
- Mostly blank/white — negative space is a design element
- Minimal environmental cues (a line for ground, simple desk outline)
- Concept labels and text annotations replace detailed environments
- Icons and symbols over realistic rendering
- No perspective or spatial depth
## Color Approach
- Primarily black and white (90%+ of the image)
- 1-2 spot accent colors for emphasis on key concepts
- Accent color used sparingly: highlighting key objects, text labels, concept indicators
- No gradients, no shading, no color fills on backgrounds
- Color draws the eye to the most important element in each panel
## Default Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary | Black ink | `#1A1A1A` |
| Background | Clean white | `#FFFFFF` |
| Accent 1 | Spot orange | `#FF6B35` |
| Accent 2 | Spot blue (optional) | `#3182CE` |
| Text labels | Dark gray | `#4A4A4A` |
| Panel border | Medium gray | `#666666` |
## Visual Elements
- Text labels with accent-color backgrounds or underlines for key terms
- Simple icons: arrows, circles, checkmarks, crosses
- Concept highlight boxes with spot color
- Minimal speech bubbles (simple oval or rectangle, thin black outline)
- No sound effects, no motion lines, no screen tones
## Quality Markers
- ✓ Clean, purposeful line work with no unnecessary detail
- ✓ 90%+ black-and-white with strategic spot color
- ✓ Simplified characters readable at small sizes
- ✓ Text labels integrated naturally into panels
- ✓ Strong negative space usage
- ✓ Every element serves the narrative point
## Compatibility
| Tone | Fit | Notes |
|------|-----|-------|
| neutral | ✓✓ | Ideal for business/educational content |
| warm | ✓ | Works for gentle stories, slight warmth in accent |
| energetic | ✓ | Works for punchy, high-energy content |
| dramatic | ✗ | Style too stripped down for dramatic intensity |
| vintage | ✗ | Minimalist aesthetic conflicts with aged/textured look |
| romantic | ✗ | No capacity for decorative/soft elements |
| action | ✗ | No dynamic line capability for speed/impact |
## Best For
Business allegory, management fables, short concept illustration, four-panel comic strips, quick-insight education, social media content

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# realistic
写实画风 - Digital painting with realistic proportions and lighting
## Overview
Full-color realistic manga style using digital painting techniques. Features anatomically accurate characters, rich gradients, and detailed environmental rendering. Sophisticated aesthetic for mature audiences.
## Line Work
- Clean, precise outlines with clear contours
- Uniform line weight for character definition
- No excessive hatching - rely on color for depth
- Smooth curves and realistic anatomical lines
- Ligne Claire influence: clean but not simplified
## Character Design
- Realistic human proportions (7-8 head heights)
- Anatomically accurate features and expressions
- Detailed facial structure without exaggeration
- Natural poses and body language
- Consistent appearance across panels
- Subtle expressions rather than manga-style
## Rendering Style
- Full-color digital painting with rich gradients
- Soft shadow transitions on skin and fabric
- Realistic material textures (glass, liquid, fabric, wood)
- Detailed hair with natural shine and volume
- Environmental lighting affects all elements
- NOT flat cel-shading - smooth color blending
## Background Treatment
- Highly detailed, realistic environments
- Accurate perspective and spatial depth
- Atmospheric lighting (warm indoor, cool outdoor)
- Professional settings rendered with precision
- Props and objects with realistic textures
## Color Approach
- Rich gradients for depth and volume
- Realistic lighting with warm/cool contrast
- Material-specific rendering
- Subtle color temperature shifts
- Professional, sophisticated palette
## Default Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Skin Light | Natural warm | #F5D6C6 |
| Skin Shadow | Warm shadow | #E8C4B0 |
| Environment | Warm wood | #8B7355 |
| Environment Cool | Cool stone | #9CA3AF |
| Accent | Wine red | #722F37 |
| Accent Gold | Gold | #D4AF37 |
| Light Warm | Amber | #FFB347 |
| Light Cool | Cool blue | #B0C4DE |
## Quality Markers
- ✓ Anatomically accurate proportions
- ✓ Smooth color gradients (not flat fills)
- ✓ Realistic material textures
- ✓ Detailed, atmospheric backgrounds
- ✓ Natural lighting with soft shadows
- ✓ Expressive but subtle expressions
- ✓ Professional aesthetic
- ✓ Clean speech bubbles
## Compatibility
| Tone | Fit | Notes |
|------|-----|-------|
| neutral | ✓✓ | Professional content |
| warm | ✓✓ | Nostalgic stories |
| dramatic | ✓✓ | High drama |
| vintage | ✓✓ | Period pieces |
| romantic | ✗ | Style mismatch |
| energetic | ✗ | Too refined |
| action | ✓ | Serious action |
## Best For
Professional topics (wine, food, business), lifestyle content, adult narratives, documentary-style, mature educational guides

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# Auto Selection
Content signals determine default art + tone + layout (or preset).
## Content Signal Matrix
| Content Signals | Art Style | Tone | Layout | Preset |
|-----------------|-----------|------|--------|--------|
| Tutorial, how-to, beginner | manga | neutral | webtoon | **ohmsha** |
| Computing, AI, programming | manga | neutral | dense | **ohmsha** |
| Technical explanation, educational | manga | neutral | webtoon | **ohmsha** |
| Pre-1950, classical, ancient | realistic | vintage | cinematic | - |
| Personal story, mentor | ligne-claire | warm | standard | - |
| Psychology, motivation, self-help, coaching | manga | warm | standard | **concept-story** |
| Business narrative, management, leadership | manga | warm | standard | **concept-story** |
| Conflict, breakthrough | (inherit) | dramatic | splash | - |
| Wine, food, lifestyle | realistic | neutral | cinematic | - |
| Martial arts, wuxia, xianxia | ink-brush | action | splash | **wuxia** |
| Romance, love, school life | manga | romantic | standard | **shoujo** |
| Business allegory, fable, parable, short insight, 四格 | minimalist | neutral | four-panel | **four-panel** |
| Biography, balanced | ligne-claire | neutral | mixed | - |
## Preset Recommendation Rules
**When preset is recommended**: Load `presets/{preset}.md` and apply all special rules.
### ohmsha
- **Triggers**: Tutorial, technical, educational, computing, programming, how-to, beginner
- **Special rules**: Visual metaphors, NO talking heads, gadget reveals, Doraemon-style characters
- **Base**: manga + neutral + webtoon/dense
### wuxia
- **Triggers**: Martial arts, wuxia, xianxia, cultivation, swordplay
- **Special rules**: Qi effects, combat visuals, atmospheric elements
- **Base**: ink-brush + action + splash
### shoujo
- **Triggers**: Romance, love story, school life, emotional drama
- **Special rules**: Decorative elements, eye details, romantic beats
- **Base**: manga + romantic + standard
### concept-story
- **Triggers**: Psychology, motivation, self-help, business narrative, management, leadership, personal growth, coaching, soft skills, abstract concept through story
- **Special rules**: Visual symbol system, growth arc, dialogue+action balance, original characters
- **Base**: manga + warm + standard
### four-panel
- **Triggers**: Business allegory, fable, parable, short insight, four-panel, 四格, 四格漫画, single-page comic, minimalist comic strip
- **Special rules**: Strict 起承转合 4-panel structure, B&W + spot color, simplified stick-figure characters, single-page story
- **Base**: minimalist + neutral + four-panel
## Compatibility Matrix
Art Style × Tone combinations work best when matched appropriately:
| Art Style | ✓✓ Best | ✓ Works | ✗ Avoid |
|-----------|---------|---------|---------|
| ligne-claire | neutral, warm | dramatic, vintage, energetic | romantic, action |
| manga | neutral, romantic, energetic, action | warm, dramatic | vintage |
| realistic | neutral, warm, dramatic, vintage | action | romantic, energetic |
| ink-brush | neutral, dramatic, action, vintage | warm | romantic, energetic |
| chalk | neutral, warm, energetic | vintage | dramatic, action, romantic |
| minimalist | neutral | warm, energetic | dramatic, vintage, romantic, action |
**Note**: Art Style × Tone × Layout can be freely combined. Incompatible combinations work but may produce unexpected results.
## Priority Order
1. User-specified options (`--art`, `--tone`, `--style`)
2. EXTEND.md defaults
3. Content signal analysis → auto-selection
4. Fallback: ligne-claire + neutral + standard

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Create a knowledge biography comic page following these guidelines:
## Image Specifications
- **Type**: Comic book page with multiple panels
- **Orientation**: Portrait (vertical)
- **Aspect Ratio**: 2:3
- **Style**: See style-specific reference for visual guidelines
## Panel Structure
### Panel Borders
- Clean black lines (1-2px) around each panel
- White gutters between panels (8-12px)
- Panels arranged for clear reading flow
- Variety in panel sizes for visual rhythm
### Panel Composition
- Clear focal points in each panel
- Proper use of foreground, midground, background
- Camera angles vary: eye level, bird's eye, low angle, close-up, wide shot
- Action flows logically between panels
- Negative space used intentionally
## Text Elements
### Speech Bubbles
- **Dialogue**: Oval/elliptical bubbles with pointed tails
- White fill with thin black outline
- Tail points clearly to speaker
- Hand-lettered style font (not computer-generated)
### Narrator Boxes
- **Fourth Wall/Narrator**: Rectangular boxes
- Often positioned at panel edges (top or bottom)
- Slightly different fill color (cream or light yellow)
- Used for commentary, time jumps, explanations
### Thought Bubbles
- Cloud-shaped with bubble trail leading to thinker
- Softer outline than speech bubbles
- For internal monologue
### Caption Bars
- Rectangular bars at panel edges
- Time and place information
- "Meanwhile...", "Three years later..." type transitions
- Darker fill with white text, or vice versa
### Typography
- Hand-drawn lettering style throughout
- Bold for emphasis and key terms
- Consistent letter sizing
- Chinese text: use full-width punctuation "",。!
- Clear hierarchy: titles > dialogue > captions
## Scientific/Concept Visualization
When depicting abstract concepts:
| Concept | Visual Metaphor |
|---------|----------------|
| Neural networks | Glowing nodes connected by clean lines |
| Data flow | Luminous particles along simple paths |
| Algorithms | Geometric patterns, building blocks |
| Logic/proof | Interlocking puzzle pieces |
| Discovery | Light breaking through darkness |
| Uncertainty | Forking paths, question marks |
| Time | Clock motifs, calendar pages |
- Integrate diagrams naturally into narrative panels
- Use inset panels or thought-bubble style for explanations
- Simplified iconography over realistic depiction
## Fourth Wall / Narrator Character
When depicting narrator characters addressing the reader:
- Character may look directly out of panel
- Can appear in "present day" framing scenes
- Distinct visual treatment from main timeline
- Often at page edges or in dedicated panels
- May comment on or question the events shown
## Historical Accuracy
- Research period-specific details: costumes, technology, architecture
- Show aging naturally for characters across time periods
- Iconic items and locations rendered recognizably
- Balance accuracy with stylization
## Language
- All text in Chinese (中文) unless source material is in another language
- Use Chinese full-width punctuation: "",。!
---
Please generate the comic page based on the content provided below:

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# Character Definition Template
## Character Document Format
Create `characters/characters.md` with the following structure:
```markdown
# Character Definitions - [Comic Title]
**Style**: [selected style]
**Art Direction**: [Ligne Claire / Manga / etc.]
---
## Character 1: [Name]
**Role**: [Protagonist / Mentor / Antagonist / Narrator]
**Age**: [approximate age or age range in story]
**Appearance**:
- Face shape: [oval/square/round]
- Hair: [color, style, length]
- Eyes: [color, shape, distinctive features]
- Build: [height, body type]
- Distinguishing features: [glasses, beard, scar, etc.]
**Costume**:
- Default outfit: [detailed description]
- Color palette: [primary colors for this character]
- Accessories: [hat, bag, tools, etc.]
**Expression Range**:
- Neutral: [description]
- Happy/Excited: [description]
- Thinking/Confused: [description]
- Determined: [description]
**Visual Reference Notes**:
[Any specific artistic direction]
---
## Character 2: [Name]
...
```
## Reference Sheet Image Prompt
After character definitions, include a prompt for generating the reference sheet:
```markdown
## Reference Sheet Prompt
Character reference sheet in [style] style, clean lines, flat colors:
[ROW 1 - Character Name]:
- Front view: [detailed description]
- 3/4 view: [description]
- Expression sheet: Neutral | Happy | Focused | Worried
[ROW 2 - Character Name]:
...
COLOR PALETTE:
- [Character 1]: [colors]
- [Character 2]: [colors]
White background, clear labels under each character.
```
## Example: Turing Biography
```markdown
# Character Definitions - The Imitation Game
**Style**: classic (Ligne Claire)
**Art Direction**: Clean lines, muted colors, period-accurate details
---
## Character 1: Alan Turing
**Role**: Protagonist
**Age**: 25-40 (varies across story)
**Appearance**:
- Face shape: Oval, slightly angular
- Hair: Dark brown, wavy, slightly disheveled
- Eyes: Deep-set, intense gaze
- Build: Tall, lean, slightly awkward posture
- Distinguishing features: Prominent brow, thoughtful expression
**Costume**:
- Default outfit: Tweed jacket with elbow patches, white shirt, no tie
- Color palette: Muted browns, navy blue, cream
- Accessories: Occasionally a pipe, papers/notebooks
**Expression Range**:
- Neutral: Thoughtful, slightly distant
- Happy/Excited: Eureka moment, eyes bright, subtle smile
- Thinking/Confused: Furrowed brow, looking at abstract space
- Determined: Jaw set, focused eyes
---
## Character 2: The Bombe Machine
**Role**: Supporting (anthropomorphized)
**Appearance**:
- Large brass and wood cabinet
- Dial "eyes" that can express states
- Paper tape "mouth"
- Indicator lights for emotions
**Expression Range**:
- Processing: Spinning dials, humming
- Success: Lights up warmly
- Stuck: Smoke wisps, stuttering
---
## Reference Sheet Prompt
Character reference sheet in Ligne Claire style, clean lines, flat colors:
TOP ROW - Alan Turing:
- Front view: Young man, 30s, short dark wavy hair, thoughtful expression, wearing tweed jacket with elbow patches, white shirt
- 3/4 view: Same character, slight smile, showing profile of nose
- Expression sheet: Neutral | Excited (eureka moment) | Focused (working) | Worried
BOTTOM ROW - The Bombe Machine (anthropomorphized):
- Bombe machine as character: Large, brass and wood, dial "eyes", paper tape "mouth"
- Expressions: Processing (spinning dials) | Success (lights up) | Stuck (smoke wisps)
COLOR PALETTE:
- Turing: Muted browns (#8B7355), navy blue (#2C3E50), cream (#F5F5DC)
- Machine: Brass (#B5A642), mahogany (#4E2728), emerald indicators (#2ECC71)
White background, clear labels under each character.
```
## Handling Age Variants
For biographies spanning many years, define age variants:
```markdown
## Alan Turing - Age Variants
### Young (1920s, age 10-18)
- Boyish features, round face
- School uniform (Sherborne)
- Curious, eager expression
### Adult (1930s-40s, age 25-35)
- Angular face, defined jaw
- Tweed jacket, rumpled appearance
- Intense, focused expression
### Later (1950s, age 40+)
- Slightly weathered
- More casual dress
- Thoughtful, sometimes melancholic
```
## Best Practices
| Practice | Description |
|----------|-------------|
| Be specific | "Short dark wavy hair, parted left" not just "dark hair" |
| Use distinguishing features | Glasses, scars, accessories that identify character |
| Define color codes | Use specific color names or hex codes |
| Include age markers | Wrinkles, posture, clothing style matching era |
| Reference real people | For historical figures, note "based on 1940s photographs" |
## Why Character Reference Matters
Without unified character definition, AI generates inconsistent appearances. The reference sheet provides:
1. Visual anchors for consistent features
2. Color palettes for consistent coloring
3. Expression documentation for emotional portrayals

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# `codex-imagegen` Wrapper Invocation
Load this reference only when the [Image Generation Tools](../SKILL.md#image-generation-tools) rule has resolved to `codex-imagegen` — i.e., the current runtime exposes no native `imagegen` skill but `codex` CLI is on `PATH` with an active `codex login`.
## Preferred path: route through `baoyu-image-gen`
If the `baoyu-image-gen` skill is available in this runtime, **always** invoke through it rather than calling the wrapper directly. It handles retry/cache/batch/EXTEND.md preferences uniformly with every other provider.
```bash
${BUN_X} <baoyu-image-gen-base>/scripts/main.ts \
--provider codex-cli \
--image <ABSOLUTE_output> \
--promptfiles <ABSOLUTE_prompts/NN-{cover|page}-[slug].md> \
--ar <ratio> \
[--ref <ABSOLUTE_file>]...
```
Resolve `<baoyu-image-gen-base>` the same way you resolve any sibling skill — through your runtime's skill registry (`Skill` tool, plugin marketplace, or `$HOME/.baoyu-skills/baoyu-image-gen/`).
## Fallback: spawn the wrapper directly
Only when `baoyu-image-gen` is NOT installed in the current runtime. Discover the wrapper's location at runtime — do NOT hard-code `../../packages/...` from this skill:
1. **Honor explicit override**: if `$BAOYU_CODEX_IMAGEGEN_BIN` is set and points to a real file, use that path. It may be `.ts` (spawn `bun <path>`) or `.sh`/binary (spawn directly).
2. **Search the plugin root**: walk up from this skill's directory looking for `packages/baoyu-codex-imagegen/src/main.ts`. If found, that is the wrapper. Spawn it with `bun`.
3. **Last resort**: tell the user that `codex-imagegen` is not available in this runtime and ask whether to install the `baoyu-skills` plugin (or set `BAOYU_CODEX_IMAGEGEN_BIN`) or pick another backend.
Once located, the invocation shape is:
```bash
bun <WRAPPER>/main.ts \
--image <ABSOLUTE_output> \
--prompt-file <ABSOLUTE_prompts/NN-{cover|page}-[slug].md> \
--aspect <ratio> \
[--ref <ABSOLUTE_file>]... \
[--timeout <ms>] \
[--cache-dir ~/.cache/baoyu-codex-imagegen] \
[--log-file <ABSOLUTE_jsonl_log_path>]
```
If `bun` is missing, `npx -y bun <WRAPPER>/main.ts ...` works as a fallback.
## Parameter notes
- **All filesystem inputs** are auto-resolved against `process.cwd()` when relative, but agents should pass absolute paths to be robust against cwd drift.
- **`--timeout`** defaults to `300000` (5 min) per `codex exec` attempt. Raise (e.g. `--timeout 600000` for 10 min) on slow networks or large prompts.
- **`--cache-dir`** is off by default. Enable for repeatable runs to skip redundant generations of the same prompt+aspect+refs.
- **Authentication**: the wrapper uses the user's Codex subscription — no `OPENAI_API_KEY` is read or sent.
## Stdout contract
Single JSON line:
- Success: `{"status":"ok","path":"...","bytes":N,"elapsed_seconds":N,"thread_id":"...","attempts":N,"cached":bool,...}`
- Failure: `{"status":"error","path":"...","bytes":0,"error":"...","error_kind":"..."}`
`error_kind` values: `codex_not_installed`, `invalid_args`, `prompt_file_missing`, `spawn_failed`, `timeout`, `no_image_gen_tool_use`, `output_missing`, `invalid_png`, `agent_refused`, `lock_busy`.
On retryable errors (timeout, spawn_failed, no_image_gen_tool_use, output_missing, invalid_png, agent_refused), ask the user whether to retry or fall back to another backend.
## Batch semantics
- Codex `image_gen` returns **one image per call** (`n=1` only). Multi-image jobs must dispatch one wrapper call per image.
- The wrapper does NOT accept a `--sessionId` flag. Chain/scene consistency must come from `--ref` reference images.
- `--size` and `--quality` are silently ignored — Codex picks pixel dimensions from `--aspect`.

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---
name: first-time-setup
description: First-time setup flow for baoyu-comic preferences
---
# First-Time Setup
## Overview
When no EXTEND.md is found, guide user through preference setup.
**⛔ BLOCKING OPERATION**: This setup MUST complete before ANY other workflow steps. Do NOT:
- Ask about content/source material
- Ask about art style or tone
- Ask about layout preferences
- Proceed to content analysis
ONLY ask the questions in this setup flow, save EXTEND.md, then continue.
## Setup Flow
```
No EXTEND.md found
│
▼
┌─────────────────────┐
│ AskUserQuestion │
│ (all questions) │
└─────────────────────┘
│
▼
┌─────────────────────┐
│ Create EXTEND.md │
└─────────────────────┘
│
▼
Continue to Step 1
```
## Questions
**Language**: Use user's input language or preferred language for all questions. Do not always use English.
Use single AskUserQuestion with multiple questions (AskUserQuestion auto-adds "Other" option):
### Question 1: Watermark
```
header: "Watermark"
question: "Watermark text for generated comic pages? Type your watermark content (e.g., name, @handle)"
options:
- label: "No watermark (Recommended)"
description: "No watermark, can enable later in EXTEND.md"
```
Position defaults to bottom-right.
### Question 2: Preferred Art Style
```
header: "Art"
question: "Default art style preference? Or type another style name"
options:
- label: "Auto-select (Recommended)"
description: "Auto-select based on content analysis"
- label: "ligne-claire"
description: "Uniform lines, flat colors, European comic (Tintin style)"
- label: "manga"
description: "Japanese manga style, expressive eyes and emotions"
- label: "realistic"
description: "Digital painting, sophisticated and professional"
```
### Question 3: Preferred Tone
```
header: "Tone"
question: "Default tone/mood preference?"
options:
- label: "Auto-select (Recommended)"
description: "Auto-select based on content signals"
- label: "neutral"
description: "Balanced, rational, educational"
- label: "warm"
description: "Nostalgic, personal, comforting"
- label: "dramatic"
description: "High contrast, intense, powerful"
```
### Question 4: Language
```
header: "Language"
question: "Output language for comic text?"
options:
- label: "Auto-detect (Recommended)"
description: "Match source content language"
- label: "zh"
description: "Chinese (中文)"
- label: "en"
description: "English"
```
### Question 5: Save Location
```
header: "Save"
question: "Where to save preferences?"
options:
- label: "Project"
description: ".baoyu-skills/ (this project only)"
- label: "User"
description: "~/.baoyu-skills/ (all projects)"
```
## Save Locations
| Choice | Path | Scope |
|--------|------|-------|
| Project | `.baoyu-skills/baoyu-comic/EXTEND.md` | Current project |
| User | `~/.baoyu-skills/baoyu-comic/EXTEND.md` | All projects |
## After Setup
1. Create directory if needed
2. Write EXTEND.md with frontmatter
3. Confirm: "Preferences saved to [path]"
4. Continue to Step 1
## EXTEND.md Template
```yaml
---
version: 2
watermark:
enabled: [true/false]
content: "[user input or empty]"
position: bottom-right
opacity: 0.5
preferred_art: [selected art style or null]
preferred_tone: [selected tone or null]
preferred_layout: null
preferred_aspect: null
language: [selected or null]
preferred_image_backend: auto
generation_batch_size: 4
character_presets: []
---
```
`preferred_image_backend: auto` is the baked-in default — first-time setup does not ask about it. The `## Image Generation Tools` rule in SKILL.md then picks the runtime-native tool (Codex `imagegen`, Hermes `image_generate`, etc.) when available, and falls back to installed backends.
`generation_batch_size: 4` is the baked-in default for page batch rendering. The current user request may override it for one run.
## Modifying Preferences Later
See the `## Changing Preferences` section in `SKILL.md` for the canonical list of common edits (pin backend, change defaults, retrigger setup). Full schema: `config/preferences-schema.md`.

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---
name: preferences-schema
description: EXTEND.md YAML schema for baoyu-comic user preferences
---
# Preferences Schema
## Full Schema
```yaml
---
version: 2
watermark:
enabled: false
content: ""
position: bottom-right # bottom-right|bottom-left|bottom-center|top-right
preferred_art: null # ligne-claire|manga|realistic|ink-brush|chalk|minimalist
preferred_tone: null # neutral|warm|dramatic|romantic|energetic|vintage|action
preferred_layout: null # standard|cinematic|dense|splash|mixed|webtoon|four-panel
preferred_aspect: null # 3:4|4:3|16:9
language: null # zh|en|ja|ko|auto
preferred_image_backend: auto # auto|ask|<backend-id>
generation_batch_size: 4 # 1-8, used when backend/runtime supports batch or parallel page generation
character_presets:
- name: my-characters
roles:
learner: "Name"
mentor: "Name"
challenge: "Name"
support: "Name"
---
```
## Field Reference
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `version` | int | 2 | Schema version |
| `watermark.enabled` | bool | false | Enable watermark |
| `watermark.content` | string | "" | Watermark text (@username or custom) |
| `watermark.position` | enum | bottom-right | Position on image |
| `preferred_art` | string | null | Art style (ligne-claire, manga, realistic, ink-brush, chalk, minimalist) |
| `preferred_tone` | string | null | Tone (neutral, warm, dramatic, romantic, energetic, vintage, action) |
| `preferred_layout` | string | null | Layout preference or null |
| `preferred_aspect` | string | null | Aspect ratio (3:4, 4:3, 16:9) |
| `language` | string | null | Output language (null = auto-detect) |
| `preferred_image_backend` | string | `auto` | Image backend selection. `auto` = prefer runtime-native tool, fall back to the only installed backend, ask if multiple non-native are present. `ask` = always confirm on every run. `<backend-id>` (e.g., `codex-imagegen`, `baoyu-image-gen`, `image_generate`) = pin this backend when available; fall back to `auto` when it isn't. Absent = `auto`. Resolution logic is documented in `SKILL.md`'s `## Image Generation Tools` section. |
| `generation_batch_size` | int | 4 | Number of page images to dispatch per batch when the backend has native batch support or the runtime can issue parallel generation calls. Clamp invalid values to 1-8. Current user request overrides this value. |
| `character_presets` | array | [] | Preset character roles for styles like ohmsha |
## Art Style Options
| Value | 中文 | Description |
|-------|------|-------------|
| `ligne-claire` | 清线 | Uniform lines, flat colors, European comic tradition |
| `manga` | 日漫 | Large eyes, manga conventions, expressive emotions |
| `realistic` | 写实 | Digital painting, realistic proportions |
| `ink-brush` | 水墨 | Chinese brush strokes, ink wash effects |
| `chalk` | 粉笔 | Chalkboard aesthetic, hand-drawn warmth |
| `minimalist` | 极简 | Clean black line art, limited spot color, stick-figure characters |
## Tone Options
| Value | 中文 | Description |
|-------|------|-------------|
| `neutral` | 中性 | Balanced, rational, educational |
| `warm` | 温馨 | Nostalgic, personal, comforting |
| `dramatic` | 戏剧 | High contrast, intense, powerful |
| `romantic` | 浪漫 | Soft, beautiful, decorative elements |
| `energetic` | 活力 | Bright, dynamic, exciting |
| `vintage` | 复古 | Historical, aged, period authenticity |
| `action` | 动作 | Speed lines, impact effects, combat |
## Position Options
| Value | Description |
|-------|-------------|
| `bottom-right` | Lower right corner (default, works with most panel layouts) |
| `bottom-left` | Lower left corner |
| `bottom-center` | Bottom center (good for webtoon vertical scroll) |
| `top-right` | Upper right corner (avoid - conflicts with page numbers) |
## Character Preset Fields
| Field | Required | Description |
|-------|----------|-------------|
| `name` | Yes | Unique preset identifier |
| `roles.learner` | No | Character representing the learner/protagonist |
| `roles.mentor` | No | Character representing the teacher/guide |
| `roles.challenge` | No | Character representing obstacles/antagonist |
| `roles.support` | No | Character providing support/comic relief |
## Example: Minimal Preferences
```yaml
---
version: 2
watermark:
enabled: true
content: "@myusername"
preferred_art: ligne-claire
preferred_tone: neutral
---
```
## Example: Full Preferences
```yaml
---
version: 2
watermark:
enabled: true
content: "@comicstudio"
position: bottom-right
preferred_art: manga
preferred_tone: neutral
preferred_layout: webtoon
preferred_aspect: "3:4"
language: zh
preferred_image_backend: codex-imagegen
generation_batch_size: 4
character_presets:
- name: tech-tutorial
roles:
learner: "小明"
mentor: "教授"
challenge: "难题怪"
support: "小助手"
- name: doraemon
roles:
learner: "大雄"
mentor: "哆啦A梦"
challenge: "胖虎"
support: "静香"
---
```
## Migration from v1
If you have a v1 preferences file with `preferred_style`, migrate as follows:
| Old `preferred_style.name` | New `preferred_art` | New `preferred_tone` |
|---------------------------|---------------------|---------------------|
| classic | ligne-claire | neutral |
| dramatic | ligne-claire | dramatic |
| warm | ligne-claire | warm |
| sepia | realistic | vintage |
| vibrant | manga | energetic |
| ohmsha | manga | neutral |
| realistic | realistic | neutral |
| wuxia | ink-brush | action |
| shoujo | manga | romantic |
| chalkboard | chalk | neutral |

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---
name: watermark-guide
description: Watermark configuration guide for baoyu-comic
---
# Watermark Guide
## Position Diagram
```
┌─────────────────────────────┐
│ [top-right]│ ← Avoid (conflicts with page numbers)
│ │
│ │
│ COMIC PAGE CONTENT │
│ │
│ │
│[bottom-left][bottom-center][bottom-right]│
└─────────────────────────────┘
```
## Position Recommendations
| Position | Best For | Avoid When |
|----------|----------|------------|
| `bottom-right` | Default choice, works with most panel layouts | Key panel in bottom-right |
| `bottom-left` | Right-heavy layouts | Key panel in bottom-left |
| `bottom-center` | Webtoon vertical scroll, centered designs | Text-heavy bottom area |
| `top-right` | **Not recommended for comics** | Always - conflicts with page numbers |
## Content Format
| Format | Example | Style |
|--------|---------|-------|
| Handle | `@username` | Social media style |
| Text | `Studio Name` | Professional branding |
| Chinese | `漫画工作室` | Chinese market |
| Initials | `ABC` | Minimal, clean |
## Best Practices for Comics
1. **Panel-aware placement**: Avoid placing over speech bubbles or key action
2. **Consistency**: Use same watermark across all pages in comic
3. **Size**: Keep subtle - should not distract from storytelling
4. **Style matching**: Watermark style should complement comic's visual style
5. **Webtoon special**: Use `bottom-center` for vertical scroll format
## Prompt Integration
When watermark is enabled, add to image generation prompt:
```
Include a subtle watermark "[content]" positioned at [position].
The watermark should be legible but not distracting from the comic panels
and storytelling. Ensure watermark does not overlap speech bubbles or key action.
```
## Common Issues
| Issue | Solution |
|-------|----------|
| Watermark invisible on dark panels | Adjust contrast or add subtle outline |
| Watermark overlaps speech bubble | Change position or lower on page |
| Watermark inconsistent across pages | Use session ID for consistency |
| Watermark too prominent | Change position or reduce size |
| Conflicts with page number | Never use top-right position |

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# cinematic
Wide panels, filmic feel
## Panel Structure
- **Panels per page**: 2-4
- **Structure**: Horizontal emphasis, wide aspect panels
- **Gutters**: Generous spacing (12-15px)
## Grid Configuration
- 1-2 columns, horizontal emphasis
- Panel sizes: Wide aspect ratios (3:1, 4:1)
- Reading flow: Horizontal sweep, filmic rhythm
## Best For
Establishing shots, dramatic moments, landscapes
## Best Style Pairings
dramatic, classic, sepia

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# dense
Information-rich, educational focus
## Panel Structure
- **Panels per page**: 6-9
- **Structure**: Compact grid, smaller panels
- **Gutters**: Tight spacing (4-6px)
## Grid Configuration
- 3 columns × 3 rows
- Panel sizes: Compact, uniform
- Reading flow: Rapid progression, information-rich
## Best For
Technical explanations, complex narratives, timelines
## Best Style Pairings
ohmsha, vibrant

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# four-panel
四格漫画 - Strict 2×2 grid, single-page story
## Panel Structure
- **Panels per page**: 4 (exactly, no variation)
- **Structure**: Strict 2×2 equal grid
- **Gutters**: Consistent white space (8-10px), uniform on all sides
## Grid Configuration
- 2 columns × 2 rows, all panels identical size
- Panel sizes: Exactly equal (each panel = 25% of content area)
- Reading flow: Z-pattern — Panel 1 (top-left) → Panel 2 (top-right) → Panel 3 (bottom-left) → Panel 4 (bottom-right)
## Narrative Structure
Each panel serves a specific narrative role (起承转合 / kishōtenketsu):
| Panel | Position | Role | Purpose |
|-------|----------|------|---------|
| 1 | Top-left | 起 Setup | Establish situation, introduce characters/problem |
| 2 | Top-right | 承 Development | Build on setup, add complication or attempt |
| 3 | Bottom-left | 转 Turn | Twist, key insight, or reversal — the pivotal moment |
| 4 | Bottom-right | 合 Conclusion | Resolution, punchline, or takeaway |
## Aspect Ratio
- Recommended page aspect: **4:3** (landscape)
- Landscape gives each panel a comfortable wide rectangle
- Portrait (3:4) makes panels tall and narrow — avoid for this layout
## Best For
Business allegory, quick-insight education, social media comics, fables, parables, single-concept explanation
## Best Style Pairings
minimalist, ligne-claire, chalk

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# mixed
Dynamic, varied rhythm
## Panel Structure
- **Panels per page**: 3-7 (varies)
- **Structure**: Intentionally varied for pacing
- **Gutters**: Dynamic spacing
## Grid Configuration
- Intentionally irregular
- Panel sizes: Varied for pacing and emphasis
- Reading flow: Guides eye through varied rhythm
## Best For
Action sequences, emotional arcs, complex stories
## Best Style Pairings
dramatic, vibrant, ohmsha

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# splash
Impact-focused, key moments
## Panel Structure
- **Panels per page**: 1-2 large + 2-3 small
- **Structure**: Dominant splash with supporting panels
- **Gutters**: Varied for emphasis
## Grid Configuration
- 1 dominant panel + 2-3 supporting
- Panel sizes: 50-70% splash, remainder small
- Reading flow: Splash dominates, supporting panels accent
## Best For
Revelations, breakthroughs, chapter openings
## Best Style Pairings
dramatic, classic, vibrant

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# standard
Classic comic grid, versatile
## Panel Structure
- **Panels per page**: 4-6
- **Structure**: Regular grid with occasional variation
- **Gutters**: Consistent white space (8-10px)
## Grid Configuration
- 2-3 columns × 2-3 rows
- Panel sizes: Mostly equal, occasional variation
- Reading flow: Left→right, top→bottom (Z-pattern)
## Best For
Narrative flow, dialogue scenes
## Best Style Pairings
classic, warm, sepia

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# webtoon
Vertical scrolling comic (竖版条漫)
## Panel Structure
- **Panels per page**: 3-5 vertically stacked
- **Structure**: Single column, vertical flow optimized for scrolling
- **Gutters**: Generous vertical spacing (20-40px), panels often bleed horizontally
## Grid Configuration
- Single column, vertical stack
- Panel sizes: Full width, variable height (1:1 to 1:2 aspect)
- Reading flow: Top→bottom continuous scroll
## Special Features
- Panels can extend beyond frame for dramatic effect
- Generous whitespace between beats
- Character close-ups alternate with wide explanation panels
- "Float" effect - elements can exist between panels
## Best For
Ohmsha-style tutorials, mobile reading, step-by-step guides
## Best Style Pairings
ohmsha, vibrant

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# Ohmsha Manga Guide Style
Guidelines for `--style ohmsha` educational manga comics.
## Character Setup
| Role | Default | Traits |
|------|---------|--------|
| Student (Role A) | 大雄 | Confused, asks basic but crucial questions, represents reader |
| Mentor (Role B) | 哆啦A梦 | Knowledgeable, patient, uses gadgets as technical metaphors |
| Antagonist (Role C, optional) | 胖虎 | Represents misunderstanding, or "noise" in the data |
Custom characters: `--characters "Student:小明,Mentor:教授,Antagonist:Bug怪"`
## Character Reference Sheet Style
For Ohmsha style, use manga/anime style with:
- Exaggerated expressions for educational clarity
- Simple, distinctive silhouettes
- Bright, saturated color palettes
- Chibi/SD (super-deformed) variants for comedic reactions
## Outline Spec Block
Every ohmsha outline must start with:
```markdown
【漫画规格单】
- Language: [Same as input content]
- Style: Ohmsha (Manga Guide), Full Color
- Layout: Vertical Scrolling Comic (竖版条漫)
- Characters: [List character names and roles]
- Character Reference: characters/characters.png
- Page Limit: ≤20 pages
```
## Visual Metaphor Rules (Critical)
**NEVER** create "talking heads" panels. Every technical concept must become:
1. **A tangible gadget/prop** - Something characters can hold, use, demonstrate
2. **An action scene** - Characters doing something that illustrates the concept
3. **A visual environment** - Stepping into a metaphorical space
### Examples
| Concept | Bad (Talking Heads) | Good (Visual Metaphor) |
|---------|---------------------|------------------------|
| Word embeddings | Characters discussing vectors | 哆啦A梦拿出"词向量压缩机",把书本压缩成彩色小球 |
| Gradient descent | Explaining math formula | 大雄在山谷地形上滚球,寻找最低点 |
| Neural network | Diagram on whiteboard | 角色走进由发光节点组成的网络迷宫 |
## Page Title Convention
Avoid AI-style "Title: Subtitle" format. Use narrative descriptions:
- ❌ "Page 3: Introduction to Neural Networks"
- ✓ "Page 3: 大雄被海量单词淹没,哆啦A梦拿出'词向量压缩机'"
## Ending Requirements
- NO generic endings ("What will you choose?", "Thanks for reading")
- End with: Technical summary moment OR character achieving a small goal
- Final panel: Sense of accomplishment, not open-ended question
### Good Endings
- Student successfully applies learned concept
- Visual callback to opening problem, now solved
- Mentor gives summary while student demonstrates understanding
### Bad Endings
- "What do you think?" open questions
- "Thanks for reading this tutorial"
- Cliffhanger without resolution
## Layout Preference
Ohmsha style typically uses:
- `webtoon` (vertical scrolling) - Primary choice
- `dense` - For information-heavy sections
- `mixed` - For varied pacing
Avoid `cinematic` and `splash` for educational content.

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# Partial Workflows
Options to run specific parts of the workflow.
## Options Summary
| Option | Steps Executed | Output |
|--------|----------------|--------|
| `--storyboard-only` | 1-3 | `storyboard.md` + `characters/` |
| `--prompts-only` | 1-5 | + `prompts/*.md` |
| `--images-only` | 7-9 | + images + PDF |
| `--regenerate N` | 7 (partial) | Specific page(s) + PDF |
---
## Using `--storyboard-only`
Generate storyboard and characters without prompts or images:
```bash
/baoyu-comic content.md --storyboard-only
```
**Workflow**: Steps 1-3 only (stop after storyboard + characters)
**Output**:
- `analysis.md`
- `storyboard.md`
- `characters/characters.md`
**Use case**: Review and edit the storyboard before generating images. Useful for:
- Getting feedback on the narrative structure
- Making manual adjustments to panel layouts
- Defining custom characters
---
## Using `--prompts-only`
Generate storyboard, characters, and prompts without images:
```bash
/baoyu-comic content.md --prompts-only
```
**Workflow**: Steps 1-5 (generate prompts, skip images)
**Output**:
- `analysis.md`
- `storyboard.md`
- `characters/characters.md`
- `prompts/*.md`
**Use case**: Review and edit prompts before image generation. Useful for:
- Fine-tuning image generation prompts
- Ensuring visual consistency before committing to generation
- Making style adjustments at the prompt level
---
## Using `--images-only`
Generate images from existing prompts (starts at Step 7):
```bash
/baoyu-comic comic/topic-slug/ --images-only
```
**Workflow**: Skip to Step 7, then 8-9
**Prerequisites** (must exist in directory):
- `prompts/` directory with page prompt files
- `storyboard.md` with style information
- `characters/characters.md` with character definitions
**Output**:
- `characters/characters.png` (if not exists)
- `NN-{cover|page}-[slug].png` images
- `{topic-slug}.pdf`
**Use case**: Re-generate images after editing prompts. Useful for:
- Recovering from failed image generation
- Trying different image generation settings
- Regenerating after manual prompt edits
---
## Using `--regenerate`
Regenerate specific pages only:
```bash
# Single page
/baoyu-comic comic/topic-slug/ --regenerate 3
# Multiple pages
/baoyu-comic comic/topic-slug/ --regenerate 2,5,8
# Cover page
/baoyu-comic comic/topic-slug/ --regenerate 0
```
**Workflow**:
1. Read existing prompts for specified pages
2. Regenerate images only for those pages
3. Regenerate PDF
**Prerequisites** (must exist):
- `prompts/NN-{cover|page}-[slug].md` for specified pages
- `characters/characters.png` (for reference)
**Output**:
- Regenerated `NN-{cover|page}-[slug].png` for specified pages
- Updated `{topic-slug}.pdf`
**Use case**: Fix specific pages without regenerating entire comic. Useful for:
- Fixing a single problematic page
- Iterating on specific visuals
- Regenerating pages after prompt edits
**Page numbering**:
- `0` = Cover page
- `1-N` = Content pages

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# concept-story
概念故事预设 - Narrative comics that visualize abstract concepts through character-driven stories
## Base Configuration
| Dimension | Value |
|-----------|-------|
| Art Style | manga |
| Tone | warm |
| Layout | standard (default) |
Equivalent to: `--art manga --tone warm`
## Unique Rules
This preset includes special rules beyond the art+tone combination. When `--style concept-story` is used, ALL rules below must be applied.
### Concept Visualization System (CRITICAL)
Each major abstract concept SHOULD have a recurring visual symbol/metaphor:
| Concept Type | Visualization Approach |
|-------------|----------------------|
| Psychological need | Tangible object character holds or discovers (e.g., glowing energy ball = competence) |
| Management principle | Environmental metaphor character navigates (e.g., ship wheel = autonomy) |
| Growth/development | Living organic symbol that transforms (e.g., seed → flowering plant = relatedness) |
| Abstract framework | Spatial structure characters can enter or observe |
| Emotional state | Color/lighting shift in the scene atmosphere |
**Unlike ohmsha**: Dialogue panels are allowed and expected. The goal is to COMBINE visual metaphors WITH dialogue, not replace dialogue entirely.
**Pattern**: "Dialogue introduces idea" → "Visual metaphor illustrates it" → "Character reacts/applies it"
### Visual Symbol Continuity
Symbols must persist across the story:
| Stage | Treatment |
|-------|-----------|
| Introduction | Symbol appears with soft glow effect when concept is first mentioned |
| Recurrence | Same symbol reappears in background or character interaction when concept is referenced |
| Resolution | ALL symbols gather in the final composition, showing integration of learned concepts |
**Storyboard requirement**: Include a Symbol Mapping Table defining concept → visual symbol before panel breakdown.
### Character Archetypes (Flexible)
Create original characters based on content domain. No fixed defaults:
| Role | Archetype | Visual Cues |
|------|-----------|------------|
| Protagonist | Learner/worker facing a challenge | Modern professional or student, relatable, starts with constrained posture |
| Mentor | Experienced guide who teaches through experience | Slightly older, calm demeanor, warm color accents |
| Catalyst | Person or event that triggers transformation | Can be a colleague, situation, challenge, or opportunity |
**IMPORTANT**: Characters are created fresh each time based on the source content's domain (business, psychology, education, etc.). No default character set.
### Narrative Arc Structure
Enforce a five-stage growth arc:
| Act | Structure | Visual Tone |
|-----|-----------|------------|
| Opening | Protagonist stuck in routine, faces frustration | Muted warm tones, tight framing, constrained compositions |
| Inciting moment | Mentor appears or opportunity arrives | Brightness increases, panels open up |
| Learning | Concepts introduced through visual metaphors | Rich warm palette, symbols introduced one by one |
| Turning point | Protagonist applies knowledge, faces test | Contrast increases, dynamic compositions |
| Transformation | Growth demonstrated, new understanding visible | Full warm palette, expansive composition, all symbols present |
### Dialogue + Action Balance
- Dialogue is encouraged and expected (unlike ohmsha's NO talking heads rule)
- Every page should combine at least one dialogue panel with at least one visual/action panel
- Avoid pure "lecture" pages where a character explains for 4+ panels straight
- When a character explains a concept verbally, the NEXT panel should visualize it
**Wrong approach**: Four consecutive panels of mentor lecturing at protagonist
**Right approach**: Mentor introduces concept → visual metaphor panel → protagonist reacts → applies understanding
### Scene Atmosphere Rules
| Scene Type | Atmosphere |
|------------|-----------|
| Problem/frustration | Cool muted tones over warm base, tight framing, cluttered environment |
| Mentoring moment | Golden hour lighting, open composition, warm indoor glow |
| Concept visualization | Soft glow effects, clean simplified backgrounds, symbol spotlight |
| Growth/transformation | Warm light expanding outward, character posture opening up |
| Resolution | Full warm palette, spacious composition, all visual symbols visible |
### Ending Requirements
Final page MUST include:
1. Protagonist demonstrating transformed understanding (not just being told)
2. Visual callback showing contrast with opening state (e.g., wilted plant → thriving plant)
3. All concept symbols visible together in the composition
4. A forward-looking element suggesting ongoing growth (not a closed ending)
### Page Title Convention
Every page MUST have a narrative title:
**Wrong**: "Chapter 3: Self-Determination Theory"
**Right**: "The Day Xiao Ming Found His Own Engine"
## Quality Markers
- ✓ Each major concept has a recurring visual symbol
- ✓ Dialogue and visual metaphors work together (not one replacing the other)
- ✓ Clear growth arc from problem to transformation
- ✓ Original characters suited to the content domain
- ✓ Warm, professional atmosphere throughout
- ✓ Visual symbols recur and accumulate through the story
- ✓ Final page integrates all concept symbols with transformation callback
## Best For
Psychology concepts, business/management principles, motivation theory, personal development,
self-help content, leadership frameworks, coaching narratives, soft skill education,
abstract concept explanation through character-driven stories

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# four-panel
四格漫画预设 - Minimalist four-panel business allegory comics
## Base Configuration
| Dimension | Value |
|-----------|-------|
| Art Style | minimalist |
| Tone | neutral |
| Layout | four-panel (default) |
| Aspect | 4:3 (landscape) |
Equivalent to: `--art minimalist --tone neutral --layout four-panel --aspect 4:3`
## Unique Rules
This preset includes special rules beyond the art+tone combination. When `--style four-panel` is used, ALL rules below must be applied.
### 起承转合 Narrative Structure (CRITICAL)
Every comic MUST follow the four-panel 起承转合 structure:
| Panel | Role | Requirements |
|-------|------|-------------|
| 1 (起 Setup) | Introduce the situation | Show character(s) in a recognizable context. Establish the "normal" state or problem |
| 2 (承 Development) | Build on the setup | Add complication, show an attempt, or introduce the concept. Stakes become clearer |
| 3 (转 Turn) | The twist or key insight | **Most important panel.** Show the unexpected reversal, contrast, or "aha" moment that makes the allegory work |
| 4 (合 Conclusion) | Resolution and takeaway | Show the result, consequence, or lesson learned. Can be a visual punchline or summary |
**CRITICAL**: Do NOT deviate from exactly 4 panels. No 5th panel, no title panel, no footer panel within the image.
### Single-Page Story Rule (CRITICAL)
- The entire story is told in ONE page with exactly 4 panels
- Page count: always 1 (plus optional cover)
- No multi-page four-panel stories — if content requires more, create multiple separate four-panel comics
- Storyboard structure: Cover (optional) + 1 page
### Accent Color System
- The image is primarily black-and-white line art
- Use exactly 1-2 spot colors per strip (default: orange `#FF6B35`)
- Rules:
- Key concept label or object: filled with accent color or outlined in accent
- Panel 3 (转 Turn) should have the strongest color emphasis
- Characters remain B&W — color is for concepts/objects/labels only
- Consistent accent color across all 4 panels (do not switch colors between panels)
### Character Design Rules
- Simplified stick-figure-like characters
- Distinguish characters through simple props: ties, glasses, hats, briefcases, aprons
- No detailed faces — dot eyes, line mouth at most
- Characters should be generic enough to represent archetypes (the manager, the employee, the customer)
- Maximum 2-3 characters per strip
### Text in Panels
- Chinese text for dialogue and labels (or match source language)
- Keep text minimal — 1-2 short lines per panel maximum
- Key concept terms can be highlighted with accent color background
- No narrator boxes — dialogue and labels only
- Speech bubbles: simple rectangles or ovals, thin black outline
### Optional Title & Caption
- A brief descriptive title above the 4 panels
- An optional one-line caption/moral below the panels
- These are part of the page composition, not separate panels
### Character Archetypes (Flexible)
Create simple stick-figure characters based on content. No fixed defaults:
| Role | Archetype | Visual Cues |
|------|-----------|------------|
| Protagonist | Worker/employee facing a situation | Simple figure, minimal distinguishing feature (glasses, tie) |
| Authority | Boss/manager/expert | Slightly larger figure, or prop like pointer/clipboard |
| Object | The concept itself | Labeled object, icon, or highlighted text with accent color |
### Prompt Template
When generating image prompts for four-panel comics, include these keywords:
> A minimalist, clean line art digital comic strip in a four-panel grid layout (2×2). The style is simplified cartoon illustration with clear black outlines and a minimal color palette of black, white, and specific spot [accent color] for key concepts.
Each panel description should specify:
- Panel position (Top Left / Top Right / Bottom Left / Bottom Right)
- Character poses and gestures (simple, stick-figure style)
- Dialogue text in Chinese (hand-drawn style)
- Any accent-colored elements (concept labels, key objects)
## Quality Markers
- ✓ Exactly 4 panels in strict 2×2 grid
- ✓ 起承转合 narrative arc clearly present
- ✓ 90%+ black-and-white with strategic spot color
- ✓ Simplified stick-figure characters
- ✓ Key concept visually highlighted with accent color
- ✓ Text is minimal and in Chinese (or source language)
- ✓ Single complete story in one page
- ✓ Panel 3 delivers a clear "turn" or insight
## Best For
Business allegory, management fables, short insights, workplace parables, concept contrasts, social media educational content, quick-read comics

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# ohmsha
Ohmsha预设 - Educational manga with visual metaphors
## Base Configuration
| Dimension | Value |
|-----------|-------|
| Art Style | manga |
| Tone | neutral |
| Layout | webtoon (default) |
Equivalent to: `--art manga --tone neutral`
## Unique Rules
This preset includes special rules beyond the art+tone combination. When `--style ohmsha` is used, ALL rules below must be applied.
### Visual Metaphor Requirements (CRITICAL)
Every technical concept MUST be visualized as a metaphor:
| Concept Type | Visualization Approach |
|-------------|----------------------|
| Algorithm | Gadget/machine that demonstrates the process |
| Data structure | Physical space characters can enter/explore |
| Mathematical formula | Transformation visible in environment |
| Abstract process | Tangible flow of particles/objects |
**Wrong approach**: Character points at blackboard explaining
**Right approach**: Character uses "Concept Visualizer" gadget, steps into metaphorical space
### Visual Metaphor Examples
| Concept | Wrong (Talking Head) | Right (Visual Metaphor) |
|---------|---------------------|------------------------|
| Attention mechanism | Character points at formula on blackboard | "Attention Flashlight" gadget illuminates key words in dark room |
| Gradient descent | "The algorithm minimizes loss" | Character rides ball rolling down mountain valley |
| Neural network | Diagram with arrows | Living network of glowing creatures passing messages |
| Overfitting | "The model memorized the data" | Character wearing clothes that fit only one specific pose |
### Character Roles (Required)
**DEFAULT: Use Doraemon characters** unless user explicitly specifies `--characters` or has character presets in EXTEND.md.
| Role | Default Character | Visual | Traits |
|------|-------------------|--------|--------|
| Student (Role A) | 大雄 (Nobita) | Boy, 10yo, round glasses, black hair, yellow shirt, navy shorts | Confused, asks basic but crucial questions, represents reader |
| Mentor (Role B) | 哆啦A梦 (Doraemon) | Blue robot cat, white belly, 4D pocket, red nose, golden bell | Knowledgeable, patient, uses gadgets as technical metaphors |
| Challenge (Role C) | 胖虎 (Gian) | Stocky boy, small eyes, orange shirt | Represents misunderstanding, or "noise" in the data |
| Support (Role D) | 静香 (Shizuka) | Cute girl, black short hair, pink dress | Asks clarifying questions, provides alternative perspectives |
**IMPORTANT**: These Doraemon characters ARE the default for ohmsha preset. Generate character definitions using these exact characters unless user requests otherwise.
To use custom characters: `--characters "Student:小明,Mentor:教授"` or define in EXTEND.md.
### Page Title Convention
Every page MUST have a narrative title (not section header):
**Wrong**: "Chapter 1: Introduction to Transformers"
**Right**: "The Day Nobita Couldn't Understand Anyone"
### Gadget Reveal Pattern
When introducing a concept:
1. Student expresses confusion with visual indicator (?, spiral eyes)
2. Mentor dramatically produces gadget with sparkle effects
3. Gadget name announced in bold with explanation
4. Demonstration begins - student enters metaphorical space
### Ending Requirements
Final page MUST include:
1. Student demonstrating understanding (applying the concept)
2. Callback to opening problem (now resolved)
3. Mentor's satisfied expression
4. Optional: hint at next topic
### NO Talking Heads Rule
**Critical**: Characters must DO things, not just explain.
Every panel should show:
- Action being performed
- Metaphor being demonstrated
- Character interaction with concept-space
- NOT: two characters facing each other talking
### Special Visual Elements
| Element | Usage |
|---------|-------|
| Gadget reveals | Dramatic unveiling with sparkle effects |
| Concept spaces | Rounded borders, glowing edges for "imagination mode" |
| Information displays | Holographic UI style for technical details |
| Aha moments | Radial lines, light burst effects |
| Confusion | Spiral eyes, question marks floating above head |
## Quality Markers
- ✓ Every concept is a visual metaphor
- ✓ Characters are DOING things, not just talking
- ✓ Clear student/mentor dynamic
- ✓ Gadgets and props drive the explanation
- ✓ Expressive manga-style emotions
- ✓ Information density through visual design, not text walls
- ✓ Narrative page titles
## Reference
For complete guidelines, see `references/ohmsha-guide.md`

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# shoujo
少女预设 - Classic shoujo manga with romantic aesthetics
## Base Configuration
| Dimension | Value |
|-----------|-------|
| Art Style | manga |
| Tone | romantic |
| Layout | standard (default) |
Equivalent to: `--art manga --tone romantic`
## Unique Rules
This preset includes special rules beyond the art+tone combination. When `--style shoujo` is used, ALL rules below must be applied.
### Decorative Elements (Required)
Every emotional moment must include decorative elements:
| Emotion | Required Decorations |
|---------|---------------------|
| Love | Floating hearts, sparkles, rose petals |
| Longing | Feathers, bubbles, distant sparkles |
| Joy | Flowers blooming, light bursts, stars |
| Sadness | Falling petals, fading sparkles |
| Shyness | Soft sparkles, floating bubbles |
| Realization | Radiating lines with sparkles |
### Eye Detail Requirements
Eyes are critical in shoujo style:
| Aspect | Treatment |
|--------|-----------|
| Size | Larger than standard manga (1.2x) |
| Highlights | Multiple (3-5), placed for emotion |
| Reflection | Scene reflection in emotional moments |
| Sparkle | Built-in sparkle effects |
| Tears | Crystalline, detailed teardrops |
### Character Beauty Standards
| Feature | Treatment |
|---------|-----------|
| Hair | Flowing, detailed strands, shine highlights |
| Skin | Porcelain, soft blush on cheeks |
| Lips | Soft, slightly glossy |
| Hands | Elegant, expressive gestures |
| Posture | Graceful, elegant poses |
### Background Effects
**Abstract backgrounds** for emotional moments:
| Moment Type | Background |
|-------------|-----------|
| Love confession | Soft gradient + floating flowers |
| Shock | Screen tone speed lines + sparkles |
| Memory | Dreamy blur + scattered petals |
| Realization | Radial lines + light burst |
| Intimate | Soft focus + floating elements |
### Panel Flow
- Overlap panels for intimate moments
- Break panel borders for emotional impact
- Float decorative elements between panels
- Use screen tone gradients for mood
- Irregular panel shapes for drama
### Emotional Beat Timing
Slow down pacing for emotional impact:
| Scene Type | Panel Treatment |
|------------|-----------------|
| Confession | Multiple small panels, then splash |
| Eye contact | Close-up sequence |
| Touch | Slow-motion panel breakdown |
| Realization | Build-up panels then impact |
### Color Palette Application
| Scene Type | Palette |
|------------|---------|
| Romantic | Pink, lavender, rose gold |
| Happy | Soft yellow, peach, sky blue |
| Sad | Pale blue, silver, gray lavender |
| Dramatic | Deep rose, purple, contrast |
### Screen Tone Usage
| Mood | Tone Pattern |
|------|-------------|
| Neutral | Clean, minimal |
| Romantic | Soft gradient overlays |
| Dramatic | Heavy contrast tones |
| Dreamy | Soft dot patterns |
## Quality Markers
- ✓ Large, sparkling detailed eyes
- ✓ Decorative elements in emotional moments
- ✓ Flowing, beautiful character designs
- ✓ Soft, pastel color palette
- ✓ Elegant panel compositions
- ✓ Screen tone mood effects
- ✓ Romantic atmosphere throughout
- ✓ Beautiful, expressive poses
## Best For
Romance stories, coming-of-age, friendship narratives, school life, emotional drama, love stories

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# wuxia
武侠预设 - Hong Kong martial arts comic style
## Base Configuration
| Dimension | Value |
|-----------|-------|
| Art Style | ink-brush |
| Tone | action |
| Layout | splash (default) |
Equivalent to: `--art ink-brush --tone action`
## Unique Rules
This preset includes special rules beyond the art+tone combination. When `--style wuxia` is used, ALL rules below must be applied.
### Qi/Energy Effects (Required)
Martial arts power must be visible through qi effects:
| Effect Type | Visual Treatment |
|-------------|-----------------|
| Internal qi | Glowing aura around character |
| External qi | Visible energy projection |
| Qi clash | Radiating impact waves |
| Qi absorption | Flowing particles toward character |
| Hidden power | Subtle glow in eyes/fists |
### Energy Colors
| Qi Type | Color |
|---------|-------|
| Righteous | Blue (#4299E1), Gold (#FFD700) |
| Fierce | Red (#DC2626), Orange (#EA580C) |
| Evil | Purple (#7C3AED), Green (#16A34A) |
| Pure | White, Silver |
| Ancient | Gold with particles |
### Combat Visual Language
**Impact moments** must include:
1. Speed lines radiating from impact point
2. Flying debris (stone, wood, cloth)
3. Shockwave rings
4. Dust/energy clouds
5. Hair and clothing blown back
### Movement Depiction
| Speed Level | Visual Treatment |
|-------------|-----------------|
| Normal | Standard pose |
| Fast | Motion blur, speed lines |
| Lightning | Afterimages, multiple positions |
| Teleport | Fade effect, particle trail |
### Environmental Integration
Backgrounds must support action:
| Environment | Combat Enhancement |
|-------------|-------------------|
| Mountains | Crumbling peaks from impacts |
| Forest | Exploding trees, flying leaves |
| Water | Dramatic splashes, walking on water |
| Temple | Breaking pillars, flying tiles |
| Cliff | Dramatic falls, wind effects |
### Character Pose Guidelines
- Dynamic warrior stances with weight distribution
- Flowing robes and hair showing movement
- Muscle tension visible in action
- Feet planted or in dynamic motion
- Traditional martial arts postures
### Weapon Effects
| Weapon | Visual Treatment |
|--------|-----------------|
| Sword | Trailing light arc, blade glow |
| Palm | Qi projection, wind effect |
| Staff | Spinning blur, impact ripples |
| Whip | Flowing energy trail |
### Atmospheric Elements
Always include:
- Floating particles (leaves, petals, dust)
- Ink wash mist for depth
- Wind direction indicators
- Dramatic sky/weather when appropriate
## Quality Markers
- ✓ Dynamic action poses with sense of motion
- ✓ Ink brush aesthetic in line work
- ✓ Visible qi/energy effects
- ✓ High contrast dramatic lighting
- ✓ Atmospheric backgrounds with Chinese elements
- ✓ Flowing fabric and hair movement
- ✓ Impactful combat moments
- ✓ Speed lines and impact effects
## Best For
Martial arts stories, Chinese historical fiction, wuxia/xianxia adaptations, action-heavy narratives

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# Storyboard Template
## Storyboard Document Format
```markdown
---
title: "[Comic Title]"
topic: "[topic description]"
time_span: "[e.g., 1912-1954]"
narrative_approach: "[chronological/thematic/character-focused]"
recommended_style: "[style name]"
recommended_layout: "[layout name or varies]"
aspect_ratio: "3:4" # 3:4 (portrait), 4:3 (landscape), 16:9 (widescreen)
language: "[zh/en/ja/etc.]"
page_count: [N]
generated: "YYYY-MM-DD HH:mm"
---
# [Comic Title] - Knowledge Comic Storyboard
**Character Reference**: characters/characters.png
---
## Cover
**Filename**: 00-cover-[slug].png
**Core Message**: [one-liner]
**Visual Design**:
- Title typography style
- Main visual composition
- Color scheme
- Subtitle / time span notation
**Visual Prompt**:
[Detailed image generation prompt]
---
## Page 1 / N
**Filename**: 01-page-[slug].png
**Layout**: [standard/cinematic/dense/splash/mixed]
**Narrative Layer**: [Main narrative / Narrator layer / Mixed]
**Core Message**: [What this page conveys]
### Panel Layout
**Panel Count**: X
**Layout Type**: [grid/irregular/splash]
#### Panel 1 (Size: 1/3 page, Position: Top)
**Scene**: [Time, location]
**Image Description**:
- Camera angle: [bird's eye / low angle / eye level / close-up / wide shot]
- Characters: [pose, expression, action]
- Environment: [scene details, period markers]
- Lighting: [atmosphere description]
- Color tone: [palette reference]
**Text Elements**:
- Dialogue bubble (oval): "Character line"
- Narrator box (rectangular): 「Narrator commentary」
- Caption bar: [Background info text]
#### Panel 2...
**Page Hook**: [Cliffhanger or transition at page end]
**Visual Prompt**:
[Full page image generation prompt]
---
## Page 2 / N
...
```
## Cover Design Principles
- Academic gravitas with visual appeal
- Title typography reflecting knowledge/science theme
- Composition hinting at core theme (character silhouette, iconic symbol, concept diagram)
- Subtitle or time span for epic scope
## Panel Composition Guidelines
| Panel Type | Recommended Count | Usage |
|-----------|-------------------|-------|
| Main narrative | 3-5 per page | Story progression |
| Concept diagram | 1-2 per page | Visualize abstractions |
| Narrator panel | 0-1 per page | Commentary, transition |
| Splash (full/half) | Occasional | Major moments |
## Panel Size Reference
- **Full page (Splash)**: Major moments, key breakthroughs
- **Half page**: Important scenes, turning points
- **1/3 page**: Standard narrative panels
- **1/4 or smaller**: Quick progression, sequential action
## Concept Visualization Techniques
Transform abstract concepts into concrete visuals:
| Abstract Concept | Visual Approach |
|-----------------|-----------------|
| Neural network | Glowing nodes with connecting lines |
| Gradient descent | Ball rolling down valley terrain |
| Data flow | Luminous particles flowing through pipes |
| Algorithm iteration | Ascending spiral staircase |
| Breakthrough moment | Shattering barrier, piercing light |
| Logical proof | Building blocks assembling |
| Uncertainty | Forking paths, fog, multiple shadows |
## Text Element Design
| Text Type | Style | Usage |
|-----------|-------|-------|
| Character dialogue | Oval speech bubble | Main narrative speech |
| Narrator commentary | Rectangular box | Explanation, commentary |
| Caption bar | Edge-mounted rectangle | Time, location info |
| Thought bubble | Cloud shape | Character inner monologue |
| Term label | Bold / special color | First appearance of technical terms |
## Prompt Structure for Consistency
Each page prompt should include character reference:
```
[CHARACTER REFERENCE]
(Key details from characters.md for characters in this page)
[PAGE CONTENT]
(Specific scene, panel layout, and visual elements)
[CONSISTENCY REMINDER]
Maintain exact character appearances as defined in character reference.
- [Character A]: [key identifying features]
- [Character B]: [key identifying features]
```

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# action
动作基调 - Speed, impact, power
## Overview
High-impact action atmosphere with dynamic movement, combat effects, and powerful visual energy. Creates visceral, exciting sequences.
## Mood Characteristics
- Speed and motion
- Power and impact
- Combat intensity
- Physical energy
- Visceral excitement
## Color Modifiers
When applied to any art style:
| Adjustment | Direction |
|------------|-----------|
| Saturation | High contrast |
| Contrast | Maximum |
| Temperature | Variable per effect |
| Brightness | Dynamic range |
## Action Effects
**Combat/motion effects** (apply liberally):
| Effect | Usage |
|--------|-------|
| Speed lines | Motion, velocity |
| Impact bursts | Hits, collisions |
| Shockwaves | Powerful impacts |
| Flying debris | Environmental destruction |
| Dust clouds | Ground impacts |
| Motion blur | Fast movement |
| Afterimages | Super speed |
## Special Effects
| Effect Type | Visual Approach |
|------------|-----------------|
| Energy attacks | Glowing, radiating |
| Physical impacts | Radiating lines, debris |
| Movement | Speed lines, blur |
| Atmosphere | Flying particles, wind |
## Effect Colors
| Effect | Color | Hex |
|--------|-------|-----|
| Energy glow | Blue | #4299E1 |
| Fire/power | Gold | #FFD700 |
| Impact | White burst | #FFFFFF |
| Blood/intensity | Deep red | #8B0000 |
## Lighting
- Dynamic, shifting
- Impact flashes
- Energy glow sources
- Rim lighting on figures
- Dramatic contrast
## Emotional Range
| Emotion | Expression |
|---------|-----------|
| Determination | Fierce focus |
| Rage | Intense, powerful |
| Triumph | Victorious pose |
| Struggle | Strained effort |
## Composition
- Dynamic angles
- Extreme perspectives
- Panel-breaking layouts
- Asymmetric designs
- Impact-focused framing
## Pose Guidelines
- Dynamic warrior poses
- Weight and momentum visible
- Muscle tension shown
- Flow of movement captured
- Impact points emphasized
## Best For
- Martial arts combat
- Action sequences
- Sports moments
- Physical challenges
- Battle scenes
- Climactic confrontations
## Combination Notes
Works especially well with:
- ink-brush: wuxia combat
- manga: shonen battles
Avoid with:
- chalk: style mismatch
- ligne-claire: style mismatch (too static)

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# dramatic
戏剧基调 - High contrast, intense, powerful moments
## Overview
High-impact dramatic tone for pivotal moments, conflicts, and breakthroughs. Uses strong contrast and intense compositions to create emotional power.
## Mood Characteristics
- Tension and intensity
- Pivotal moments
- Conflict and resolution
- Breakthrough discoveries
- Emotional climaxes
## Color Modifiers
When applied to any art style:
| Adjustment | Direction |
|------------|-----------|
| Saturation | High (vibrant or deep) |
| Contrast | Maximum |
| Temperature | Varies for effect |
| Brightness | Strong highlights, deep shadows |
## Contrast Approach
- Sharp light/dark divisions
- Minimal mid-tones
- Stark compositions
- Silhouette potential
- Rim lighting effects
## Accent Colors
- Deep navy (#1A365D)
- Crimson (#9B2C2C)
- Stark white
- Heavy blacks
- Limited palette per scene
## Lighting
- Dramatic single-source
- High contrast shadows
- Rim lighting on characters
- Spotlight effects
- Chiaroscuro influence
## Emotional Range
| Emotion | Expression |
|---------|-----------|
| Anger | Intense, defined features |
| Determination | Strong, focused gaze |
| Shock | Wide eyes, stark lighting |
| Triumph | Powerful, elevated pose |
## Composition
- Angular, dynamic layouts
- Dramatic camera angles
- Low/high viewpoints
- Diagonal compositions
- Negative space for impact
## Visual Elements
- Speed lines for tension
- Impact effects
- Dramatic backgrounds (storms, fire)
- Silhouettes
- Light burst effects
- Environmental drama
## Best For
- Pivotal discoveries
- Conflict scenes
- Climactic moments
- Breakthrough realizations
- Emotional confrontations
- Historical turning points
## Combination Notes
Works especially well with:
- realistic: powerful drama
- ink-brush: martial arts climax
- ligne-claire: historical pivots
- manga: shonen battles
Avoid with: chalk (style mismatch)

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# energetic
活力基调 - Bright, dynamic, exciting
## Overview
High-energy atmosphere for exciting, discovery-filled content. Bright colors, dynamic compositions, and movement create engaging visuals for younger audiences.
## Mood Characteristics
- Excitement and wonder
- Discovery and learning
- Energy and enthusiasm
- Movement and action
- Youthful spirit
## Color Modifiers
When applied to any art style:
| Adjustment | Direction |
|------------|-----------|
| Saturation | High (vibrant) |
| Contrast | Medium-high |
| Temperature | Variable, punchy |
| Brightness | Bright, clean |
## Color Palette
Shift toward vibrant tones:
| Role | Color | Hex |
|------|-------|-----|
| Primary Red | Bright red | #F56565 |
| Primary Yellow | Sunny yellow | #F6E05E |
| Primary Blue | Sky blue | #63B3ED |
| Accent 1 | Magenta | #D53F8C |
| Accent 2 | Lime green | #68D391 |
| Background | Clean white | #FFFFFF |
| Background Alt | Bright pastels | Various |
## Lighting
- Bright, clear lighting
- Clean shadows
- High energy
- Spotlight effects for emphasis
- Dynamic light sources
## Dynamic Elements
**Energy effects** (add to compositions):
| Element | Usage |
|---------|-------|
| Speed lines | Motion, excitement |
| Sparkles | Discoveries |
| Burst effects | Aha moments |
| Motion blur | Fast action |
| Star bursts | Emphasis |
| Sweat drops | Effort/surprise |
## Emotional Range
| Emotion | Expression |
|---------|-----------|
| Excitement | Wide eyes, big smile |
| Surprise | Dramatic reaction |
| Determination | Intense focus |
| Wonder | Sparkling eyes |
## Composition
- Dynamic angles
- Action-oriented layouts
- Movement emphasis
- Clean, punchy designs
- Energy flows
## Visual Style
- Expressive, animated characters
- Wide eyes, big reactions
- Dynamic poses
- Motion and action focus
- Simplified backgrounds for energy
## Best For
- Science explanations
- "Aha" moments
- Young audience content
- Discovery narratives
- Learning adventures
- Action tutorials
## Combination Notes
Works especially well with:
- manga: shonen energy
- chalk: fun education
Avoid with:
- realistic: style mismatch
- ink-brush: style mismatch

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# neutral
中性基调 - Balanced, rational, educational
## Overview
Default balanced tone suitable for educational and informative content. Neither overly emotional nor cold - creates accessible, professional atmosphere.
## Mood Characteristics
- Balanced emotional register
- Clear, rational presentation
- Educational focus
- Professional but approachable
- Objective storytelling
## Color Modifiers
When applied to any art style:
| Adjustment | Direction |
|------------|-----------|
| Saturation | Standard (no shift) |
| Contrast | Balanced |
| Temperature | Neutral |
| Brightness | Slightly bright |
## Lighting
- Even, clear lighting
- Minimal dramatic shadows
- Consistent across panels
- Natural light sources
- No extreme contrast
## Emotional Range
| Emotion | Expression Level |
|---------|-----------------|
| Joy | Moderate smile |
| Concern | Thoughtful expression |
| Surprise | Mild widening of eyes |
| Frustration | Slight frown |
## Composition
- Balanced panel layouts
- Clear focal points
- Readable hierarchies
- Standard framing
- Functional compositions
## Best For
- Educational content
- Technical tutorials
- Informative biographies
- Documentary style
- Professional topics
## Usage Notes
Neutral is the default tone. Combine with any art style for baseline professional output. Most versatile tone option.

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# romantic
浪漫基调 - Soft, beautiful, emotionally delicate
## Overview
Soft, dreamy atmosphere for romantic and emotionally delicate content. Features decorative elements, sparkles, and beautiful compositions that emphasize feeling and beauty.
## Mood Characteristics
- Romance and love
- Beauty and elegance
- Emotional delicacy
- Dreams and hopes
- Youth and idealism
## Color Modifiers
When applied to any art style:
| Adjustment | Direction |
|------------|-----------|
| Saturation | Soft pastels |
| Contrast | Low, gentle |
| Temperature | Slightly warm pink |
| Brightness | Soft, glowing |
## Color Palette
Shift toward romantic tones:
| Role | Color | Hex |
|------|-------|-----|
| Primary | Soft pink | #FFB6C1 |
| Secondary | Lavender | #E6E6FA |
| Accent | Rose | #FF69B4 |
| Highlight | Pearl white | #FFFAF0 |
| Gold | Gold sparkle | #FFD700 |
| Skin | Porcelain | #FFF5EE |
| Blush | Soft blush | #FFE4E1 |
| Background | Soft cream | #FFF8DC |
## Lighting
- Soft, diffused light
- Glowing effects
- Backlighting halos
- Sparkle highlights
- Dreamy atmospheres
## Decorative Elements
**Essential decorations** (add to compositions):
| Element | Usage |
|---------|-------|
| Flower petals | Floating, framing |
| Sparkles | Emotional highlights |
| Bubbles | Dreamy moments |
| Feathers | Gentle floating |
| Stars | Night scenes, wonder |
| Hearts | Love emphasis |
| Light halos | Character highlights |
## Emotional Range
| Emotion | Expression |
|---------|-----------|
| Love | Soft gaze, blush |
| Longing | Distant, beautiful sadness |
| Joy | Radiant smile, sparkles |
| Shyness | Downcast eyes, blush |
## Composition
- Elegant, flowing layouts
- Soft focus backgrounds
- Characters framed by decorations
- Beautiful angles (3/4 profiles)
- Screen tone gradients
## Best For
- Romance stories
- Coming-of-age
- Friendship narratives
- Emotional drama
- School life
- Beautiful moments
## Combination Notes
Works especially well with:
- manga: classic shoujo style
Avoid with:
- realistic: style mismatch
- ink-brush: style mismatch
- ligne-claire: style mismatch
- chalk: style mismatch

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# vintage
复古基调 - Historical, aged, period authenticity
## Overview
Historical atmosphere with aged paper effects and period-appropriate aesthetics. Creates sense of time, authenticity, and historical distance.
## Mood Characteristics
- Historical authenticity
- Period distance
- Archival quality
- Time and memory
- Classical elegance
## Color Modifiers
When applied to any art style:
| Adjustment | Direction |
|------------|-----------|
| Saturation | Reduced, muted |
| Contrast | Medium, aged |
| Temperature | Sepia shift |
| Brightness | Slightly faded |
## Color Palette
Shift toward aged tones:
| Role | Color | Hex |
|------|-------|-----|
| Primary | Sepia brown | #8B7355 |
| Background | Aged paper | #F5E6D3 |
| Accent 1 | Faded teal | #6B8E8E |
| Accent 2 | Muted burgundy | #7B3F3F |
| Ink | Aged black | #3D3D3D |
| Yellowed | Paper yellow | #F5DEB3 |
## Visual Effects
**Aging effects** (apply subtly):
| Effect | Application |
|--------|-------------|
| Paper aging | Background texture |
| Faded edges | Vignette effect |
| Dust specks | Subtle overlay |
| Yellowing | Color shift |
| Wear marks | Corner/edge details |
## Period Elements
- Historical typography
- Period-accurate details
- Archival presentation
- Classical compositions
- Formal framing
## Lighting
- Natural, period-appropriate
- Oil lamp/candle warmth
- Soft, diffused light
- Indoor historical lighting
- Photographic quality
## Emotional Range
| Emotion | Expression |
|---------|-----------|
| Dignity | Formal, composed |
| Sorrow | Restrained, elegant |
| Pride | Classical posture |
| Wisdom | Aged grace |
## Composition
- Classical framing
- Formal compositions
- Period-appropriate staging
- Documentary style
- Historical accuracy priority
## Best For
- Pre-1950s stories
- Classical science history
- Historical biographies
- Period pieces
- Documentary comics
- Archival narratives
## Combination Notes
Works especially well with:
- realistic: period drama
- ligne-claire: historical adventure
- ink-brush: classical Asian stories
Avoid with:
- manga: style mismatch (too modern)
- chalk: style mismatch (modern educational)

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# warm
温馨基调 - Nostalgic, personal, comforting
## Overview
Warm, inviting atmosphere for personal stories and nostalgic content. Creates emotional connection through cozy aesthetics and comforting visuals.
## Mood Characteristics
- Nostalgic feeling
- Personal, intimate atmosphere
- Comforting and healing
- Memory and reflection
- Gentle emotional warmth
## Color Modifiers
When applied to any art style:
| Adjustment | Direction |
|------------|-----------|
| Saturation | Slightly reduced |
| Contrast | Softer |
| Temperature | Warm shift (+15%) |
| Brightness | Soft, golden |
## Color Temperature
Shift palette toward warm tones:
| Original | Warm Shift |
|----------|-----------|
| Cool blue | Soft teal |
| Pure white | Cream |
| Gray | Warm gray |
| Black | Soft charcoal |
## Accent Colors
- Golden yellow (#D69E2E)
- Soft orange (#DD6B20)
- Warm brown (#8B6F47)
- Sunset tones
## Lighting
- Golden hour lighting
- Soft, diffused light
- Warm indoor glow
- Candle/lamp warmth
- Gentle shadows
## Emotional Range
| Emotion | Expression |
|---------|-----------|
| Joy | Genuine warm smile |
| Sadness | Gentle melancholy |
| Love | Soft, tender expressions |
| Memory | Distant, reflective gaze |
## Composition
- Intimate framing
- Cozy environments
- Soft focus backgrounds
- Welcoming spaces
- Personal moments highlighted
## Visual Elements
- Warm light rays
- Soft edges
- Nostalgic props (old photos, keepsakes)
- Comfort objects (blankets, tea cups)
- Nature elements (autumn leaves, sunset)
## Best For
- Personal stories
- Childhood memories
- Mentorship narratives
- Family histories
- Gentle biographies
- Healing journeys
## Combination Notes
Works especially well with:
- ligne-claire: nostalgic European comics
- realistic: touching human stories
- manga: slice-of-life warmth
- chalk: nostalgic education

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# Complete Workflow
Full workflow for generating knowledge comics.
## Progress Checklist
Copy and track progress:
```
Comic Progress:
- [ ] Step 1: Setup & Analyze
- [ ] 1.1 Load preferences
- [ ] 1.2 Analyze content
- [ ] 1.3 Check existing ⚠️ REQUIRED
- [ ] Step 2: Confirmation 1 - Style & options ⚠️ REQUIRED
- [ ] Step 3: Generate storyboard + characters
- [ ] Step 4: Review outline (conditional)
- [ ] Step 5: Generate prompts
- [ ] Step 6: Review prompts (conditional)
- [ ] Step 7: Generate images
- [ ] 7.1 Character sheet (if needed)
- [ ] 7.2 Generate pages
- [ ] Step 8: Merge to PDF
- [ ] Step 9: Completion report
```
## Flow Diagram
```
Input → Preferences → Analyze → [Check Existing?] → [Confirm 1: Style + Reviews] → Storyboard → [Review Outline?] → Prompts → [Review Prompts?] → Images → PDF → Complete
```
---
## Step 1: Setup & Analyze
### 1.1 Load Preferences (EXTEND.md)
Check EXTEND.md existence (priority order):
```bash
# macOS, Linux, WSL, Git Bash
test -f .baoyu-skills/baoyu-comic/EXTEND.md && echo "project"
test -f "${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-comic/EXTEND.md" && echo "xdg"
test -f "$HOME/.baoyu-skills/baoyu-comic/EXTEND.md" && echo "user"
```
```powershell
# PowerShell (Windows)
if (Test-Path .baoyu-skills/baoyu-comic/EXTEND.md) { "project" }
$xdg = if ($env:XDG_CONFIG_HOME) { $env:XDG_CONFIG_HOME } else { "$HOME/.config" }
if (Test-Path "$xdg/baoyu-skills/baoyu-comic/EXTEND.md") { "xdg" }
if (Test-Path "$HOME/.baoyu-skills/baoyu-comic/EXTEND.md") { "user" }
```
| Path | Location |
|------|----------|
| `.baoyu-skills/baoyu-comic/EXTEND.md` | Project directory |
| `$HOME/.baoyu-skills/baoyu-comic/EXTEND.md` | User home |
**When EXTEND.md Found** → Read, parse, **output summary to user**:
```
📋 Loaded preferences from [full path]
├─ Watermark: [enabled/disabled] [content if enabled]
├─ Art Style: [style name or "auto-select"]
├─ Tone: [tone name or "auto-select"]
├─ Layout: [layout or "auto-select"]
├─ Language: [language or "auto-detect"]
└─ Character presets: [count] defined
```
**MUST output this summary** so user knows their current configuration. Do not skip or silently load.
**When EXTEND.md Not Found** → First-time setup:
1. Inform user: "No preferences found. Let's set up your defaults."
2. Use AskUserQuestion to collect preferences (see `config/first-time-setup.md`)
3. Create EXTEND.md at user-chosen location
4. Confirm: "✓ Preferences saved to [path]"
**EXTEND.md Supports**: Watermark | Preferred art/tone/layout | Custom style definitions | Character presets | Language preference
Schema: `config/preferences-schema.md`
**Important**: Once EXTEND.md exists, watermark, language, and style defaults are NOT asked again in Confirmation 1 or 2. These are session-persistent settings.
### 1.2 Analyze Content → `analysis.md`
Read source content, save it if needed, and perform deep analysis.
**Actions**:
1. **Save source content** (if not already a file):
- If user provides a file path: use as-is
- If user pastes content: save to `source.md` in target directory
- **Backup rule**: If `source.md` exists, rename to `source-backup-YYYYMMDD-HHMMSS.md`
2. Read source content
3. **Deep analysis** following `analysis-framework.md`:
- Target audience identification
- Value proposition for readers
- Core themes and narrative potential
- Key figures and their story arcs
4. Detect source language
5. **Determine language**:
- If EXTEND.md has `language` → use it
- Else if `--lang` option provided → use it
- Else → use detected source language
6. Determine recommended page count:
- Short story: 5-8 pages
- Medium complexity: 9-15 pages
- Full biography: 16-25 pages
7. Analyze content signals for art/tone/layout recommendations
8. **Save to `analysis.md`**
**analysis.md Format**: YAML front matter (title, topic, time_span, source_language, user_language, aspect_ratio, recommended_page_count, recommended_art, recommended_tone) + sections for Target Audience, Value Proposition, Core Themes, Key Figures & Story Arcs, Content Signals, Recommended Approaches. See `analysis-framework.md` for full template.
### 1.3 Check Existing Content ⚠️ REQUIRED
**MUST execute before proceeding to Step 2.**
Use Bash to check if output directory exists:
```bash
test -d "comic/{topic-slug}" && echo "exists"
```
**If directory exists**, use AskUserQuestion:
```
header: "Existing"
question: "Existing content found. How to proceed?"
options:
- label: "Regenerate storyboard"
description: "Keep images, regenerate storyboard and characters only"
- label: "Regenerate images"
description: "Keep storyboard, regenerate images only"
- label: "Backup and regenerate"
description: "Backup to {slug}-backup-{timestamp}, then regenerate all"
- label: "Exit"
description: "Cancel, keep existing content unchanged"
```
Save result and handle accordingly:
- **Regenerate storyboard**: Skip to Step 3, preserve `prompts/` and images
- **Regenerate images**: Skip to Step 7, use existing prompts
- **Backup and regenerate**: Move directory, start fresh from Step 2
- **Exit**: End workflow immediately
---
## Step 2: Confirmation 1 - Style & Options ⚠️
**Purpose**: Select visual style + decide whether to review outline before generation. **Do NOT skip.**
**Note**: Watermark and language already configured in EXTEND.md (Step 1).
**Display summary**:
- Content type + topic identified
- Key figures extracted
- Time span detected
- Recommended page count
- Language: [from EXTEND.md or detected]
- **Recommended style**: [art] + [tone] (based on content signals)
**Use AskUserQuestion** for:
### Question 1: Visual Style
If a preset is recommended (see `auto-selection.md`), show it first:
```
header: "Style"
question: "Which visual style for this comic?"
options:
- label: "[preset name] preset (Recommended)" # If preset recommended
description: "[preset description] - includes special rules"
- label: "[recommended art] + [recommended tone] (Recommended)" # If no preset
description: "Best match for your content based on analysis"
- label: "ligne-claire + neutral"
description: "Classic educational, Logicomix style"
- label: "ohmsha preset"
description: "Educational manga with visual metaphors, gadgets, NO talking heads"
- label: "Custom"
description: "Specify your own art + tone or preset"
```
**Preset vs Art+Tone**: Presets include special rules beyond art+tone. `ohmsha` = manga + neutral + visual metaphor rules + character roles + NO talking heads. Plain `manga + neutral` does NOT include these rules.
### Question 2: Narrative Focus (multiSelect: true)
```
header: "Focus"
question: "What should the comic emphasize? (Select all that apply)"
options:
- label: "Biography/life story"
description: "Follow a person's journey through key life events"
- label: "Concept explanation"
description: "Break down complex ideas visually"
- label: "Historical event"
description: "Dramatize important historical moments"
- label: "Tutorial/how-to"
description: "Step-by-step educational guide"
```
### Question 3: Target Audience
```
header: "Audience"
question: "Who is the primary reader?"
options:
- label: "General readers"
description: "Broad appeal, accessible content"
- label: "Students/learners"
description: "Educational focus, clear explanations"
- label: "Industry professionals"
description: "Technical depth, domain knowledge"
- label: "Children/young readers"
description: "Simplified language, engaging visuals"
```
### Question 4: Outline Review
```
header: "Review"
question: "Do you want to review the outline before image generation?"
options:
- label: "Yes, let me review (Recommended)"
description: "Review storyboard and characters before generating images"
- label: "No, generate directly"
description: "Skip outline review, start generating immediately"
```
### Question 5: Prompt Review
```
header: "Prompts"
question: "Review prompts before generating images?"
options:
- label: "Yes, review prompts (Recommended)"
description: "Review image generation prompts before generating"
- label: "No, skip prompt review"
description: "Proceed directly to image generation"
```
**After response**:
1. Update `analysis.md` with user preferences
2. **Store `skip_outline_review`** flag based on Question 4 response
3. **Store `skip_prompt_review`** flag based on Question 5 response
4. → Step 3
---
## Step 3: Generate Storyboard + Characters
Create storyboard and character definitions using the confirmed style from Step 2.
**Loading Style References**:
- Art style: `art-styles/{art}.md`
- Tone: `tones/{tone}.md`
- If preset (ohmsha/wuxia/shoujo): also load `presets/{preset}.md`
**Generate**:
1. **Storyboard** (`storyboard.md`):
- YAML front matter with art_style, tone, layout, aspect_ratio
- Cover design
- Each page: layout, panel breakdown, visual prompts
- **Written in user's preferred language** (from Step 1)
- Reference: `storyboard-template.md`
- **If using preset**: Load and apply preset rules from `presets/`
2. **Character definitions** (`characters/characters.md`):
- Visual specs matching the art style (in user's preferred language)
- Include Reference Sheet Prompt for later image generation
- Reference: `character-template.md`
- **If using ohmsha preset**: Use default Doraemon characters (see below)
**Ohmsha Default Characters** (use these unless user specifies `--characters`):
| Role | Character | Visual Description |
|------|-----------|-------------------|
| Student | 大雄 (Nobita) | Japanese boy, 10yo, round glasses, black hair parted in middle, yellow shirt, navy shorts |
| Mentor | 哆啦 A 梦 (Doraemon) | Round blue robot cat, big white eyes, red nose, whiskers, white belly with 4D pocket, golden bell, no ears |
| Challenge | 胖虎 (Gian) | Stocky boy, rough features, small eyes, orange shirt |
| Support | 静香 (Shizuka) | Cute girl, black short hair, pink dress, gentle expression |
These are the canonical ohmsha-style characters. Do NOT create custom characters for ohmsha unless explicitly requested.
**After generation**:
- If `skip_outline_review` is true → Skip Step 4, go directly to Step 5
- If `skip_outline_review` is false → Continue to Step 4
---
## Step 4: Review Outline (Conditional)
**Skip this step** if user selected "No, generate directly" in Step 2.
**Purpose**: User reviews and confirms storyboard + characters before generation.
**Display**:
- Page count and structure
- Art style + Tone combination
- Page-by-page summary (Cover → P1 → P2...)
- Character list with brief descriptions
**Use AskUserQuestion**:
```
header: "Confirm"
question: "Ready to generate images with this outline?"
options:
- label: "Yes, proceed (Recommended)"
description: "Generate character sheet and comic pages"
- label: "Edit storyboard first"
description: "I'll modify storyboard.md before continuing"
- label: "Edit characters first"
description: "I'll modify characters/characters.md before continuing"
- label: "Edit both"
description: "I'll modify both files before continuing"
```
**After response**:
1. If user wants to edit → Wait for user to finish editing, then ask again
2. If user confirms → Continue to Step 5
---
## Step 5: Generate Prompts
Create image generation prompts for all pages.
**Style Reference Loading**:
- Read `art-styles/{art}.md` for rendering guidelines
- Read `tones/{tone}.md` for mood/color adjustments
- If preset: Read `presets/{preset}.md` for special rules
**For each page (cover + pages)**:
1. Create prompt following art style + tone guidelines
2. Include character visual descriptions for consistency
3. Save to `prompts/NN-{cover|page}-[slug].md`
- **Backup rule**: If prompt file exists, rename to `prompts/NN-{cover|page}-[slug]-backup-YYYYMMDD-HHMMSS.md`
**Prompt File Format**:
```markdown
# Page NN: [Title]
## Visual Style
Art: [art style] | Tone: [tone] | Layout: [layout type]
## Character Reference
[Character descriptions from characters/characters.md]
## Panel Breakdown
[From storyboard.md - panel descriptions, actions, dialogue]
## Generation Prompt
[Combined prompt for image generation skill]
```
**Watermark Application** (if enabled in preferences):
Add to each prompt:
```
Include a subtle watermark "[content]" positioned at [position]. The watermark should
be legible but not distracting from the comic panels and storytelling.
Ensure watermark does not overlap speech bubbles or key action.
```
Reference: `config/watermark-guide.md`
**After generation**:
- If `skip_prompt_review` is true → Skip Step 6, go directly to Step 7
- If `skip_prompt_review` is false → Continue to Step 6
---
## Step 6: Review Prompts (Conditional)
**Skip this step** if user selected "No, skip prompt review" in Step 2.
**Purpose**: User reviews and confirms prompts before image generation.
**Display prompt summary table**:
| Page | Title | Key Elements |
|------|-------|--------------|
| Cover | [title] | [main visual] |
| P1 | [title] | [key elements] |
| ... | ... | ... |
**Use AskUserQuestion**:
```
header: "Confirm"
question: "Ready to generate images with these prompts?"
options:
- label: "Yes, proceed (Recommended)"
description: "Generate all comic page images"
- label: "Edit prompts first"
description: "I'll modify prompts/*.md before continuing"
- label: "Regenerate prompts"
description: "Regenerate all prompts with different approach"
```
**After response**:
1. If user wants to edit → Wait for user to finish editing, then ask again
2. If user wants to regenerate → Go back to Step 5
3. If user confirms → Continue to Step 7
---
## Step 7: Generate Images
With confirmed prompts from Step 5/6:
### 7.1 Generate Character Reference Sheet (conditional)
Character sheet is recommended for multi-page comics with recurring characters, but **NOT required** for all presets.
**When to generate**:
| Condition | Action |
|-----------|--------|
| Multi-page comic with detailed/recurring characters | Generate character sheet (recommended) |
| Preset with simplified characters (e.g., four-panel minimalist) | Skip — prompt descriptions are sufficient |
| Single-page comic | Skip unless characters are complex |
**When generating**:
1. Use Reference Sheet Prompt from `characters/characters.md`
2. **Backup rule**: If `characters/characters.png` exists, rename to `characters/characters-backup-YYYYMMDD-HHMMSS.png`
3. Generate → `characters/characters.png`
4. **Compress** to reduce API payload size when used as `--ref`:
- `sips -s format jpeg -s formatOptions 80 characters.png --out characters-compressed.jpg` (macOS)
- Or: `pngquant --quality=65-80 characters.png -o characters-compressed.png`
### 7.2 Generate Comic Pages
**Before generating any page**:
1. Read the image generation skill's SKILL.md
2. Check if it supports reference image input (`--ref`, `--reference`, etc.)
3. Determine if character sheet exists
4. Choose the appropriate strategy below
**Page Generation Strategy**:
| Character Sheet | Skill Capability | Strategy |
|-----------------|------------------|----------|
| Exists | Supports `--ref` | **A**: Pass character sheet as `--ref` with every page |
| Exists | No `--ref` support | **B**: Embed character descriptions in every prompt |
| Skipped | — | **C**: Prompt file contains all descriptions inline |
**Strategy A: Using `--ref` parameter** (e.g., baoyu-image-gen)
- Read the chosen image generation skill's `SKILL.md`
- Invoke that installed skill via its documented interface, not by calling its scripts directly
- For every page, use `prompts/01-page-xxx.md` as the prompt-file input
- Save output to `01-page-xxx.png`
- Use aspect ratio from storyboard (default `3:4`, preset may override)
- Pass `characters/characters.png` (or compressed version) as `--ref`
**`--ref` failure recovery**:
If generation fails when using `--ref`:
1. **Compress/convert** reference image:
- `sips -s format jpeg -s formatOptions 70 characters.png --out characters-compressed.jpg`
- Or reduce resolution: `sips -Z 1024 characters.png --out characters-small.png`
2. **Retry** with compressed/converted image as `--ref`
3. **If still fails**: Fall back to **Strategy C** — generate WITHOUT `--ref`, with character descriptions embedded in prompt text
**Strategy B: Embedding character descriptions in prompt**
When skill does NOT support reference images, create combined prompt files:
```markdown
# prompts/01-page-xxx.md (with embedded character reference)
## Character Reference (maintain consistency)
[Copy relevant sections from characters/characters.md here]
- 大雄:Japanese boy, round glasses, yellow shirt, navy shorts...
- 哆啦 A 梦:Round blue robot cat, white belly, red nose, golden bell...
## Page Content
[Original page prompt here]
```
**Strategy C: Prompt-only (no character sheet)**
When character sheet was skipped or `--ref` failed:
- Prompt file already contains all character descriptions inline
- No `--ref` parameter needed
- Rely on detailed text descriptions for character consistency
**Page batch generation (cover + pages)**:
1. Build a page task list from selected saved prompts:
- `prompt_file`: `prompts/NN-{cover|page}-[slug].md`
- `output_file`: `NN-{cover|page}-[slug].png`
- `aspect_ratio`: from storyboard (default `3:4`; preset may override)
- `refs`: character sheet and verified direct user refs when Strategy A is active
2. **Backup rule**: Before dispatching a task, if its image file exists, rename it to `NN-{cover|page}-[slug]-backup-YYYYMMDD-HHMMSS.png`.
3. Dispatch tasks in batches:
- Native batch backend: send all eligible page tasks, or chunks of `generation_batch_size` if the backend has a practical limit.
- Runtime parallel calls: issue up to `generation_batch_size` image calls concurrently, then continue with the next chunk.
- Sequential fallback: process one page at a time.
4. After each completed task, report: "Generated X/N: [page title]".
5. On failure, retry the failed task once from the same saved prompt file. Keep successful outputs and continue.
**Session Management**:
If image generation skill supports `--sessionId`:
1. Generate unique session ID: `comic-{topic-slug}-{timestamp}`
2. Use same session ID for all pages
3. Ensures visual consistency across generated images
---
## Step 8: Merge to PDF
After all images generated:
```bash
${BUN_X} {baseDir}/scripts/merge-to-pdf.ts <comic-dir>
```
Creates `{topic-slug}.pdf` with all pages as full-page images.
---
## Step 9: Completion Report
```
Comic Complete!
Title: [title] | Art: [art] | Tone: [tone] | Pages: [count] | Aspect: [ratio] | Language: [lang]
Watermark: [enabled/disabled]
Location: [path]
✓ analysis.md
✓ characters.png (if generated)
✓ 00-cover-[slug].png ... NN-page-[slug].png
✓ {topic-slug}.pdf
```
---
## Page Modification
| Action | Steps |
|--------|-------|
| **Edit** | Update prompt → Regenerate image → Regenerate PDF |
| **Add** | Create prompt at position → Generate image → Renumber subsequent (NN+1) → Update storyboard → Regenerate PDF |
| **Delete** | Remove files → Renumber subsequent (NN-1) → Update storyboard → Regenerate PDF |
**File naming**: `NN-{cover|page}-[slug].png` (e.g., `03-page-enigma-machine.png`)
- Slugs: kebab-case, unique, derived from content
- Renumbering: Update NN prefix only, slugs unchanged

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@@ -0,0 +1,116 @@
import { existsSync, readdirSync, readFileSync } from "fs";
import { join, basename } from "path";
import { PDFDocument } from "pdf-lib";
interface PageInfo {
filename: string;
path: string;
index: number;
promptPath?: string;
}
function parseArgs(): { dir: string; output?: string } {
const args = process.argv.slice(2);
let dir = "";
let output: string | undefined;
for (let i = 0; i < args.length; i++) {
if (args[i] === "--output" || args[i] === "-o") {
output = args[++i];
} else if (!args[i].startsWith("-")) {
dir = args[i];
}
}
if (!dir) {
console.error("Usage: bun merge-to-pdf.ts <comic-dir> [--output filename.pdf]");
process.exit(1);
}
return { dir, output };
}
function findComicPages(dir: string): PageInfo[] {
if (!existsSync(dir)) {
console.error(`Directory not found: ${dir}`);
process.exit(1);
}
const files = readdirSync(dir);
const pagePattern = /^(\d+)-(cover|page)(-[\w-]+)?\.(png|jpg|jpeg)$/i;
const promptsDir = join(dir, "prompts");
const hasPrompts = existsSync(promptsDir);
const pages: PageInfo[] = files
.filter((f) => pagePattern.test(f))
.map((f) => {
const match = f.match(pagePattern);
const baseName = f.replace(/\.(png|jpg|jpeg)$/i, "");
const promptPath = hasPrompts ? join(promptsDir, `${baseName}.md`) : undefined;
return {
filename: f,
path: join(dir, f),
index: parseInt(match![1], 10),
promptPath: promptPath && existsSync(promptPath) ? promptPath : undefined,
};
})
.sort((a, b) => a.index - b.index);
if (pages.length === 0) {
console.error(`No comic pages found in: ${dir}`);
console.error("Expected format: 00-cover-slug.png, 01-page-slug.png, etc.");
process.exit(1);
}
return pages;
}
async function createPdf(pages: PageInfo[], outputPath: string) {
const pdfDoc = await PDFDocument.create();
pdfDoc.setAuthor("baoyu-comic");
pdfDoc.setSubject("Generated Comic");
for (const page of pages) {
const imageData = readFileSync(page.path);
const ext = page.filename.toLowerCase();
const image = ext.endsWith(".png")
? await pdfDoc.embedPng(imageData)
: await pdfDoc.embedJpg(imageData);
const { width, height } = image;
const pdfPage = pdfDoc.addPage([width, height]);
pdfPage.drawImage(image, {
x: 0,
y: 0,
width,
height,
});
console.log(`Added: ${page.filename}${page.promptPath ? " (prompt available)" : ""}`);
}
const pdfBytes = await pdfDoc.save();
await Bun.write(outputPath, pdfBytes);
console.log(`\nCreated: ${outputPath}`);
console.log(`Total pages: ${pages.length}`);
}
async function main() {
const { dir, output } = parseArgs();
const pages = findComicPages(dir);
const dirName = basename(dir) === "comic" ? basename(join(dir, "..")) : basename(dir);
const outputPath = output || join(dir, `${dirName}.pdf`);
console.log(`Found ${pages.length} pages in: ${dir}\n`);
await createPdf(pages, outputPath);
}
main().catch((err) => {
console.error("Error:", err.message);
process.exit(1);
});

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---
name: baoyu-compress-image
description: Compresses images to WebP (default) or PNG with automatic tool selection. Use when user asks to "compress image", "optimize image", "convert to webp", or reduce image file size.
version: 1.56.1
metadata:
openclaw:
homepage: https://github.com/JimLiu/baoyu-skills#baoyu-compress-image
requires:
anyBins:
- bun
- npx
---
# Image Compressor
Compresses images using best available tool (sips → cwebp → ImageMagick → Sharp).
## Script Directory
Scripts in `scripts/` subdirectory. `{baseDir}` = this SKILL.md's directory path. Resolve `${BUN_X}` runtime: if `bun` installed → `bun`; if `npx` available → `npx -y bun`; else suggest installing bun. Replace `{baseDir}` and `${BUN_X}` with actual values.
| Script | Purpose |
|--------|---------|
| `scripts/main.ts` | Image compression CLI |
## Preferences (EXTEND.md)
Check EXTEND.md in priority order — the first one found wins:
| Priority | Path | Scope |
|----------|------|-------|
| 1 | `.baoyu-skills/baoyu-compress-image/EXTEND.md` | Project |
| 2 | `${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-compress-image/EXTEND.md` | XDG |
| 3 | `$HOME/.baoyu-skills/baoyu-compress-image/EXTEND.md` | User home |
If none found, use defaults.
**EXTEND.md supports**: Default format, default quality, keep-original preference.
## Usage
```bash
${BUN_X} {baseDir}/scripts/main.ts <input> [options]
```
## Options
| Option | Short | Description | Default |
|--------|-------|-------------|---------|
| `<input>` | | File or directory | Required |
| `--output` | `-o` | Output path | Same path, new ext |
| `--format` | `-f` | webp, png, jpeg | webp |
| `--quality` | `-q` | Quality 0-100 | 80 |
| `--keep` | `-k` | Keep original | false |
| `--recursive` | `-r` | Process subdirs | false |
| `--json` | | JSON output | false |
## Examples
```bash
# Single file → WebP (replaces original)
${BUN_X} {baseDir}/scripts/main.ts image.png
# Keep PNG format
${BUN_X} {baseDir}/scripts/main.ts image.png -f png --keep
# Directory recursive
${BUN_X} {baseDir}/scripts/main.ts ./images/ -r -q 75
# JSON output
${BUN_X} {baseDir}/scripts/main.ts image.png --json
```
**Output**:
```
image.png → image.webp (245KB → 89KB, 64% reduction)
```
## Extension Support
Custom configurations via EXTEND.md. See **Preferences** section for paths and supported options.

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#!/usr/bin/env bun
import { existsSync, statSync, readdirSync, unlinkSync, renameSync } from "fs";
import { basename, dirname, extname, join, resolve } from "path";
import { spawn } from "child_process";
type Compressor = "sips" | "cwebp" | "imagemagick" | "sharp";
type Format = "webp" | "png" | "jpeg";
interface Options {
input: string;
output?: string;
format: Format;
quality: number;
keep: boolean;
recursive: boolean;
json: boolean;
}
interface Result {
input: string;
output: string;
inputSize: number;
outputSize: number;
ratio: number;
compressor: Compressor;
}
const SUPPORTED_EXTS = [".png", ".jpg", ".jpeg", ".webp", ".gif", ".tiff"];
async function commandExists(cmd: string): Promise<boolean> {
try {
const proc = spawn("which", [cmd], { stdio: "pipe" });
return new Promise((res) => {
proc.on("close", (code) => res(code === 0));
proc.on("error", () => res(false));
});
} catch {
return false;
}
}
async function detectCompressor(format: Format): Promise<Compressor> {
if (format === "webp") {
if (await commandExists("cwebp")) return "cwebp";
if (await commandExists("convert")) return "imagemagick";
return "sharp";
}
if (process.platform === "darwin") return "sips";
if (await commandExists("convert")) return "imagemagick";
return "sharp";
}
function runCmd(cmd: string, args: string[]): Promise<{ code: number; stderr: string }> {
return new Promise((res) => {
const proc = spawn(cmd, args, { stdio: ["ignore", "ignore", "pipe"] });
let stderr = "";
proc.stderr?.on("data", (d) => (stderr += d.toString()));
proc.on("close", (code) => res({ code: code ?? 1, stderr }));
proc.on("error", (e) => res({ code: 1, stderr: e.message }));
});
}
async function compressWithSips(input: string, output: string, format: Format, quality: number): Promise<void> {
const fmt = format === "jpeg" ? "jpeg" : format;
const args = ["-s", "format", fmt, "-s", "formatOptions", String(quality), input, "--out", output];
const { code, stderr } = await runCmd("sips", args);
if (code !== 0) throw new Error(`sips failed: ${stderr}`);
}
async function compressWithCwebp(input: string, output: string, quality: number): Promise<void> {
const args = ["-q", String(quality), input, "-o", output];
const { code, stderr } = await runCmd("cwebp", args);
if (code !== 0) throw new Error(`cwebp failed: ${stderr}`);
}
async function compressWithImagemagick(input: string, output: string, quality: number): Promise<void> {
const args = [input, "-quality", String(quality), output];
const { code, stderr } = await runCmd("convert", args);
if (code !== 0) throw new Error(`convert failed: ${stderr}`);
}
async function compressWithSharp(input: string, output: string, format: Format, quality: number): Promise<void> {
const sharp = (await import("sharp")).default;
let pipeline = sharp(input);
if (format === "webp") pipeline = pipeline.webp({ quality });
else if (format === "png") pipeline = pipeline.png({ quality });
else if (format === "jpeg") pipeline = pipeline.jpeg({ quality });
await pipeline.toFile(output);
}
async function compress(
compressor: Compressor,
input: string,
output: string,
format: Format,
quality: number
): Promise<void> {
switch (compressor) {
case "sips":
await compressWithSips(input, output, format, quality);
break;
case "cwebp":
if (format !== "webp") {
await compressWithSharp(input, output, format, quality);
} else {
await compressWithCwebp(input, output, quality);
}
break;
case "imagemagick":
await compressWithImagemagick(input, output, quality);
break;
case "sharp":
await compressWithSharp(input, output, format, quality);
break;
}
}
function getOutputPath(input: string, format: Format, keep: boolean, customOutput?: string): string {
if (customOutput) return resolve(customOutput);
const dir = dirname(input);
const base = basename(input, extname(input));
const ext = format === "jpeg" ? ".jpg" : `.${format}`;
if (keep && extname(input).toLowerCase() === ext) {
return join(dir, `${base}-compressed${ext}`);
}
return join(dir, `${base}${ext}`);
}
function formatSize(bytes: number): string {
if (bytes < 1024) return `${bytes}B`;
if (bytes < 1024 * 1024) return `${Math.round(bytes / 1024)}KB`;
return `${(bytes / (1024 * 1024)).toFixed(1)}MB`;
}
async function processFile(
compressor: Compressor,
input: string,
opts: Options
): Promise<Result> {
const absInput = resolve(input);
const inputSize = statSync(absInput).size;
const output = getOutputPath(absInput, opts.format, opts.keep, opts.output);
const tempOutput = output + ".tmp";
await compress(compressor, absInput, tempOutput, opts.format, opts.quality);
const outputSize = statSync(tempOutput).size;
if (!opts.keep && absInput !== output) {
const ext = extname(absInput);
const base = absInput.slice(0, -ext.length);
renameSync(absInput, `${base}_original${ext}`);
}
renameSync(tempOutput, output);
return {
input: absInput,
output,
inputSize,
outputSize,
ratio: outputSize / inputSize,
compressor,
};
}
function collectFiles(dir: string, recursive: boolean): string[] {
const files: string[] = [];
const entries = readdirSync(dir, { withFileTypes: true });
for (const entry of entries) {
const full = join(dir, entry.name);
if (entry.isDirectory() && recursive) {
files.push(...collectFiles(full, recursive));
} else if (entry.isFile() && SUPPORTED_EXTS.includes(extname(entry.name).toLowerCase())) {
files.push(full);
}
}
return files;
}
function printHelp() {
console.log(`Usage: bun main.ts <input> [options]
Options:
-o, --output <path> Output path
-f, --format <fmt> Output format: webp, png, jpeg (default: webp)
-q, --quality <n> Quality 0-100 (default: 80)
-k, --keep Keep original file
-r, --recursive Process directories recursively
--json JSON output
-h, --help Show help`);
}
function parseArgs(args: string[]): Options | null {
const opts: Options = {
input: "",
format: "webp",
quality: 80,
keep: false,
recursive: false,
json: false,
};
for (let i = 0; i < args.length; i++) {
const arg = args[i];
if (arg === "-h" || arg === "--help") {
printHelp();
process.exit(0);
} else if (arg === "-o" || arg === "--output") {
opts.output = args[++i];
} else if (arg === "-f" || arg === "--format") {
const fmt = args[++i]?.toLowerCase();
if (fmt === "webp" || fmt === "png" || fmt === "jpeg" || fmt === "jpg") {
opts.format = fmt === "jpg" ? "jpeg" : (fmt as Format);
} else {
console.error(`Invalid format: ${fmt}`);
return null;
}
} else if (arg === "-q" || arg === "--quality") {
const q = parseInt(args[++i], 10);
if (isNaN(q) || q < 0 || q > 100) {
console.error(`Invalid quality: ${args[i]}`);
return null;
}
opts.quality = q;
} else if (arg === "-k" || arg === "--keep") {
opts.keep = true;
} else if (arg === "-r" || arg === "--recursive") {
opts.recursive = true;
} else if (arg === "--json") {
opts.json = true;
} else if (!arg.startsWith("-") && !opts.input) {
opts.input = arg;
}
}
if (!opts.input) {
console.error("Error: Input file or directory required");
printHelp();
return null;
}
return opts;
}
async function main() {
const args = process.argv.slice(2);
const opts = parseArgs(args);
if (!opts) process.exit(1);
const input = resolve(opts.input);
if (!existsSync(input)) {
console.error(`Error: ${input} not found`);
process.exit(1);
}
const compressor = await detectCompressor(opts.format);
const isDir = statSync(input).isDirectory();
if (isDir) {
const files = collectFiles(input, opts.recursive);
if (files.length === 0) {
console.error("No supported images found");
process.exit(1);
}
const results: Result[] = [];
for (const file of files) {
try {
const r = await processFile(compressor, file, { ...opts, output: undefined });
results.push(r);
if (!opts.json) {
const reduction = Math.round((1 - r.ratio) * 100);
console.log(`${r.input} → ${r.output} (${formatSize(r.inputSize)} → ${formatSize(r.outputSize)}, ${reduction}% reduction)`);
}
} catch (e) {
if (!opts.json) console.error(`Error processing ${file}: ${(e as Error).message}`);
}
}
if (opts.json) {
const totalInput = results.reduce((s, r) => s + r.inputSize, 0);
const totalOutput = results.reduce((s, r) => s + r.outputSize, 0);
console.log(
JSON.stringify({
files: results,
summary: {
totalFiles: results.length,
totalInputSize: totalInput,
totalOutputSize: totalOutput,
ratio: totalInput > 0 ? totalOutput / totalInput : 0,
compressor,
},
}, null, 2)
);
} else {
const totalInput = results.reduce((s, r) => s + r.inputSize, 0);
const totalOutput = results.reduce((s, r) => s + r.outputSize, 0);
const reduction = Math.round((1 - totalOutput / totalInput) * 100);
console.log(`\nProcessed ${results.length} files: ${formatSize(totalInput)} → ${formatSize(totalOutput)} (${reduction}% reduction)`);
}
} else {
try {
const r = await processFile(compressor, input, opts);
if (opts.json) {
console.log(JSON.stringify(r, null, 2));
} else {
const reduction = Math.round((1 - r.ratio) * 100);
console.log(`${r.input} → ${r.output} (${formatSize(r.inputSize)} → ${formatSize(r.outputSize)}, ${reduction}% reduction)`);
}
} catch (e) {
console.error(`Error: ${(e as Error).message}`);
process.exit(1);
}
}
}
main();

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---
name: baoyu-cover-image
description: Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 11 color palettes and 7 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".
version: 1.117.5
metadata:
openclaw:
homepage: https://github.com/JimLiu/baoyu-skills#baoyu-cover-image
---
# Cover Image Generator
Generate elegant cover images for articles with 5-dimensional customization.
## User Input Tools
When this skill prompts the user, follow this tool-selection rule (priority order):
1. **Prefer built-in user-input tools** exposed by the current agent runtime — e.g., `AskUserQuestion`, `request_user_input`, `clarify`, `ask_user`, or any equivalent.
2. **Fallback**: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
3. **Batching**: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.
Concrete `AskUserQuestion` references below are examples — substitute the local equivalent in other runtimes.
## Image Generation Tools
When this skill needs to render an image, resolve the backend in this order:
1. **Current-request override** — if the user names a specific backend in the current message, use it.
2. **Saved preference** — if `EXTEND.md` sets `preferred_image_backend` to a backend available right now, use it.
3. **Auto-select** (when the preference is `auto`, unset, or the pinned backend isn't available):
- **Codex (`imagegen`)** — first, inspect your available-skills / tool inventory. If a skill named `imagegen` is listed, you are running inside Codex and MUST use it: invoke via the `Skill` tool with `skill: "imagegen"`, passing the saved prompt file's content (plus output path and aspect ratio per Codex `imagegen`'s own args). Codex `imagegen` is the official raster backend in that runtime and outranks any non-native skill (e.g., `baoyu-image-gen`) unless the user has explicitly pinned a different `preferred_image_backend`.
- **Codex via `codex exec` (`codex-imagegen`)** — if the current runtime exposes no native `imagegen` skill but the `codex` CLI is on `PATH` with an active `codex login`, route through `baoyu-image-gen --provider codex-cli` (preferred), or — if baoyu-image-gen is unavailable — invoke the bundled wrapper directly. Details, parameters, and the runtime-discovery procedure live in [references/codex-imagegen.md](references/codex-imagegen.md) — load that file only when this branch is selected.
- **Cursor (`GenerateImage`)** — if the runtime exposes a native `GenerateImage` tool, you are running inside Cursor and it outranks any non-native skill the same way Codex `imagegen` does. Two hard caveats: (a) it has no aspect-ratio parameter — state the target aspect ratio / dimensions explicitly in the prompt text passed as `description`; (b) it does not accept an output directory — it saves to a tool-managed location, so after generation copy/move the file to the skill's expected output path (e.g., `outputs/.../NN-xxx.png`). Reference images go in `reference_image_paths`.
- **Other runtime-native tools** — if the runtime exposes a different native image tool (e.g., Hermes `image_generate`), use it the same way.
- Otherwise, if exactly one non-native backend is installed (e.g., `baoyu-image-gen`), use it.
- Otherwise (multiple non-native backends with no runtime-native tool), ask the user once — batch with any other initial questions.
4. **If none are available**, tell the user and ask how to proceed.
**⛔ Never substitute SVG, HTML, canvas, or other code-based rendering for raster image generation.** Codex `imagegen`'s own description says it should be used "when the output should be a bitmap asset rather than repo-native code or vector." If you cannot resolve a raster backend via step 3, fall through to step 4 and ask the user — do **not** silently emit SVG, write inline `<svg>` markup, or produce HTML/CSS art as a substitute. This applies even if the article/section seems "diagram-like": the consumer skill calling this rule has already decided that a raster image is what it needs.
**⛔ Never repair rendered text by painting over a generated bitmap.** Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace title/subtitle text inside an already generated cover image. If text is wrong or unclear, regenerate from a corrected prompt, switch to a lower-text or no-title variant, or ask the user which imperfect candidate to keep.
Setting `preferred_image_backend: ask` forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the `## Changing Preferences` section below.
**Prompt file requirement (hard)**: write each image's full, final prompt to a standalone file under `prompts/` (naming: `NN-{type}-[slug].md`) BEFORE invoking any backend. The backend receives the prompt file (or its content); the file is the reproducibility record and lets you switch backends without regenerating prompts.
Concrete tool names (`imagegen`, `GenerateImage`, `image_generate`, `baoyu-image-gen`) above are examples — substitute the local equivalents under the same rule.
## Confirmation Policy
Default behavior: **confirm before generation**.
- Treat explicit skill invocation, a file path, matched keywords/presets, `EXTEND.md` defaults, and any documented auto-selection as **recommendation inputs only**. None of them authorizes skipping confirmation.
- Do **not** start Step 3 or Step 4 until the user confirms the dimensions / aspect / language / backend choices.
- Skip confirmation only when the current request explicitly says to do so, for example: `--quick`, "直接生成", "不用确认", "跳过确认", "按默认出图", or equivalent wording. `quick_mode: true` in `EXTEND.md` counts as a standing explicit opt-out — set it only when you want every run to skip Step 2.
- If confirmation is skipped explicitly, state the assumed dimensions / aspect / language / backend in the next user-facing update before generating.
## Options
| Option | Description |
|--------|-------------|
| `--type <name>` | hero, conceptual, typography, metaphor, scene, minimal |
| `--palette <name>` | warm, elegant, cool, dark, earth, vivid, pastel, mono, retro, duotone, macaron |
| `--rendering <name>` | flat-vector, hand-drawn, painterly, digital, pixel, chalk, screen-print |
| `--style <name>` | Preset shorthand (see [Style Presets](references/style-presets.md)) |
| `--text <level>` | none, title-only, title-subtitle, text-rich |
| `--mood <level>` | subtle, balanced, bold |
| `--font <name>` | clean, handwritten, serif, display |
| `--aspect <ratio>` | 16:9 (default), 2.35:1, 4:3, 3:2, 1:1, 3:4 |
| `--lang <code>` | Title language (en, zh, ja, etc.) |
| `--no-title` | Alias for `--text none` |
| `--quick` | Skip confirmation, use auto-selection |
| `--ref <files...>` | Reference images for style/composition guidance |
## Five Dimensions
| Dimension | Values | Default |
|-----------|--------|---------|
| **Type** | hero, conceptual, typography, metaphor, scene, minimal | auto |
| **Palette** | warm, elegant, cool, dark, earth, vivid, pastel, mono, retro, duotone, macaron | auto |
| **Rendering** | flat-vector, hand-drawn, painterly, digital, pixel, chalk, screen-print | auto |
| **Text** | none, title-only, title-subtitle, text-rich | title-only |
| **Mood** | subtle, balanced, bold | balanced |
| **Font** | clean, handwritten, serif, display | clean |
Auto-selection rules: [references/auto-selection.md](references/auto-selection.md)
## Galleries
**Types**: hero, conceptual, typography, metaphor, scene, minimal
→ Details: [references/types.md](references/types.md)
**Palettes**: warm, elegant, cool, dark, earth, vivid, pastel, mono, retro, duotone, macaron
→ Details: [references/palettes/](references/palettes/)
**Renderings**: flat-vector, hand-drawn, painterly, digital, pixel, chalk, screen-print
→ Details: [references/renderings/](references/renderings/)
**Text Levels**: none (pure visual) | title-only (default) | title-subtitle | text-rich (with tags)
→ Details: [references/dimensions/text.md](references/dimensions/text.md)
**Mood Levels**: subtle (low contrast) | balanced (default) | bold (high contrast)
→ Details: [references/dimensions/mood.md](references/dimensions/mood.md)
**Fonts**: clean (sans-serif) | handwritten | serif | display (bold decorative)
→ Details: [references/dimensions/font.md](references/dimensions/font.md)
## File Structure
Output directory per `default_output_dir` preference:
- `same-dir`: `{article-dir}/`
- `imgs-subdir`: `{article-dir}/imgs/`
- `independent` (default): `cover-image/{topic-slug}/`
```
<output-dir>/
├── source-{slug}.{ext} # Source files
├── refs/ # Reference images (if provided)
│ ├── ref-01-{slug}.{ext}
│ └── ref-01-{slug}.md # Description file
├── prompts/cover.md # Generation prompt
└── cover.png # Output image
```
**Slug**: 2-4 words, kebab-case. Conflict: append `-YYYYMMDD-HHMMSS`
## Workflow
### Progress Checklist
```
Cover Image Progress:
- [ ] Step 0: Check preferences (EXTEND.md) ⛔ BLOCKING
- [ ] Step 1: Analyze content + save refs + determine output dir
- [ ] Step 2: Confirm options (6 dimensions) ⚠️ unless --quick
- [ ] Step 3: Create prompt
- [ ] Step 4: Generate image
- [ ] Step 5: Completion report
```
### Flow
```
Input → [Step 0: Preferences] ─┬─ Found → Continue
└─ Not found → First-Time Setup ⛔ BLOCKING → Save EXTEND.md → Continue
↓
Analyze + Save Refs → [Output Dir] → [Confirm: 6 Dimensions] → Prompt → Generate → Complete
↓
(skip if --quick or all specified)
```
### Step 0: Load Preferences ⛔ BLOCKING
Check EXTEND.md in priority order — the first one found wins:
| Priority | Path | Scope |
|----------|------|-------|
| 1 | `.baoyu-skills/baoyu-cover-image/EXTEND.md` | Project |
| 2 | `${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-cover-image/EXTEND.md` | XDG |
| 3 | `$HOME/.baoyu-skills/baoyu-cover-image/EXTEND.md` | User home |
| Result | Action |
|--------|--------|
| Found | Load, display summary → Continue |
| Not found | ⛔ Run first-time setup ([references/config/first-time-setup.md](references/config/first-time-setup.md)) → Save → Continue |
**CRITICAL**: If not found, complete setup BEFORE any other steps or questions.
### Step 1: Analyze Content
1. **Save reference images** (if provided) → [references/workflow/reference-images.md](references/workflow/reference-images.md)
2. **Save source content** (if pasted, save to `source.md`)
3. **Analyze content**: topic, tone, keywords, visual metaphors
4. **Deep analyze references** ⚠️: Extract specific, concrete elements (see reference-images.md)
5. **Detect language**: Compare source, user input, EXTEND.md preference
6. **Determine output directory**: Per File Structure rules
**⚠️ People in Reference Images:**
If reference images contain **people** who should appear in the cover:
- **Model supports `--ref`** (default): Copy image to `refs/`, pass via `--ref` at generation. No description file needed — the model sees the face directly.
- **Model does NOT support `--ref`** (Jimeng, Seedream 3.0): Create `refs/ref-NN-{slug}.md` with per-character description (hair, glasses, skin tone, clothing). Embed as MUST/REQUIRED instructions in prompt text.
See [reference-images.md](references/workflow/reference-images.md) for full decision table.
### Step 2: Confirm Options ⚠️
**Hard gate**: this step is mandatory per the [Confirmation Policy](#confirmation-policy) — Steps 3–4 cannot start until the user confirms here (or explicitly opts out with `--quick` / `quick_mode: true` / equivalent wording in the current request).
**MUST use `AskUserQuestion` tool** to present options as interactive selection — NOT plain text tables. Present up to 4 questions in a single `AskUserQuestion` call (Type, Palette, Rendering, Font + Settings). Each question shows the recommended option first with reason, followed by alternatives.
Full confirmation flow and question format: [references/workflow/confirm-options.md](references/workflow/confirm-options.md)
| Condition | Skipped | Still Asked |
|-----------|---------|-------------|
| `--quick` or `quick_mode: true` | 6 dimensions | Aspect ratio (unless `--aspect`) |
| All 6 + `--aspect` specified | All | None |
### Step 3: Create Prompt
Save to `prompts/cover.md`. Template: [references/workflow/prompt-template.md](references/workflow/prompt-template.md)
**CRITICAL - References in Frontmatter**:
- Files saved to `refs/` → Add to frontmatter `references` list
- Style extracted verbally (no file) → Omit `references`, describe in body
- Before writing → Verify: `test -f refs/ref-NN-{slug}.{ext}`
**Reference elements in body** MUST be detailed, prefixed with "MUST"/"REQUIRED", with integration approach.
### Step 4: Generate Image
1. **Backup existing** `cover.png` if regenerating
2. **Select backend** via the `## Image Generation Tools` rule at the top: use whatever is available; if multiple, ask the user once. Do this once per session before any generation.
3. **Write the full final prompt** to `prompts/01-cover-[slug].md` (hard requirement) BEFORE invoking the backend.
4. **Process references** from prompt frontmatter:
- `direct` usage → pass via `--ref` (use ref-capable backend)
- `style`/`palette` → extract traits, append to prompt
5. **Generate**: Call the chosen backend with the prompt file, output path, aspect ratio.
- **`codex-imagegen`**: see [references/codex-imagegen.md](references/codex-imagegen.md) for the invocation contract (preferred `baoyu-image-gen --provider codex-cli` path, runtime wrapper discovery, parameter notes, stdout schema, batch semantics).
- **Codex `imagegen` (native)** or other runtime-native tools / `baoyu-image-gen` skill: per the rule in `## Image Generation Tools` above.
6. On failure: auto-retry once
### Step 5: Completion Report
```
Cover Generated!
Topic: [topic]
Type: [type] | Palette: [palette] | Rendering: [rendering]
Text: [text] | Mood: [mood] | Font: [font] | Aspect: [ratio]
Title: [title or "visual only"]
Language: [lang] | Watermark: [enabled/disabled]
References: [N images or "extracted style" or "none"]
Location: [directory path]
Files:
✓ source-{slug}.{ext}
✓ prompts/cover.md
✓ cover.png
```
## Image Modification
| Action | Steps |
|--------|-------|
| **Regenerate** | Backup → Update prompt file FIRST → Regenerate |
| **Change dimension** | Backup → Confirm new value → Update prompt → Regenerate |
Text correction policy:
- If the title/subtitle is misspelled, garbled, hard to read, or visually weak, do not patch the bitmap with code.
- For text-correction regenerations, write a new prompt file and a new output path so the flawed candidate is preserved for comparison.
- Post-processing is limited to crop, resize, compression, or format conversion that does not alter text or the main composition.
## Composition Principles
- **Whitespace**: 40-60% breathing room
- **Visual anchor**: Main element centered or offset left
- **Characters**: Simplified silhouettes; NO realistic humans
- **Title**: Use exact title from user/source; never invent
## Changing Preferences
EXTEND.md lives at the path noted in **Step 0**. Three ways to change it:
- **Edit directly** — open EXTEND.md and change fields. Full schema: [references/config/preferences-schema.md](references/config/preferences-schema.md).
- **Reconfigure interactively** — delete EXTEND.md (or ask "reconfigure baoyu-cover-image preferences" / "重新配置"). The next run re-triggers first-time setup.
- **Common one-line edits**:
- `preferred_image_backend: auto` — default; runtime-native tool wins, falls back to the only installed backend, asks only if multiple non-native are present.
- `preferred_image_backend: codex-imagegen` — pin to Codex's built-in.
- `preferred_image_backend: baoyu-image-gen` — pin to the baoyu-image-gen skill.
- `preferred_image_backend: ask` — confirm backend every run.
- `watermark.enabled: true`, `preferred_type`, `preferred_palette`, `preferred_rendering`, `default_aspect`, `quick_mode: true`, `language` — shift the auto-selection defaults and confirmation flow.
## References
**Dimensions**: [text.md](references/dimensions/text.md) | [mood.md](references/dimensions/mood.md) | [font.md](references/dimensions/font.md)
**Palettes**: [references/palettes/](references/palettes/)
**Renderings**: [references/renderings/](references/renderings/)
**Types**: [references/types.md](references/types.md)
**Auto-Selection**: [references/auto-selection.md](references/auto-selection.md)
**Style Presets**: [references/style-presets.md](references/style-presets.md)
**Compatibility**: [references/compatibility.md](references/compatibility.md)
**Visual Elements**: [references/visual-elements.md](references/visual-elements.md)
**Workflow**: [confirm-options.md](references/workflow/confirm-options.md) | [prompt-template.md](references/workflow/prompt-template.md) | [reference-images.md](references/workflow/reference-images.md)
**Config**: [preferences-schema.md](references/config/preferences-schema.md) | [first-time-setup.md](references/config/first-time-setup.md) | [watermark-guide.md](references/config/watermark-guide.md)

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# Auto-Selection Rules
When a dimension is omitted, select based on content signals.
## Auto Type Selection
| Signals | Type |
|---------|------|
| Product, launch, announcement, release, reveal | `hero` |
| Architecture, framework, system, API, technical, model | `conceptual` |
| Quote, opinion, insight, thought, headline, statement | `typography` |
| Philosophy, growth, abstract, meaning, reflection | `metaphor` |
| Story, journey, travel, lifestyle, experience, narrative | `scene` |
| Zen, focus, essential, core, simple, pure | `minimal` |
## Auto Palette Selection
| Signals | Palette |
|---------|---------|
| Personal story, emotion, lifestyle, human | `warm` |
| Business, professional, thought leadership, luxury | `elegant` |
| Architecture, system, API, technical, code | `cool` |
| Entertainment, premium, cinematic, dark mode | `dark` |
| Nature, wellness, eco, organic, travel | `earth` |
| Product launch, gaming, promotion, event | `vivid` |
| Fantasy, children, gentle, creative, whimsical | `pastel` |
| Zen, focus, essential, pure, simple | `mono` |
| History, vintage, retro, classic, exploration | `retro` |
| Movie poster, album cover, concert, cinematic, dramatic, two-color | `duotone` |
| Education, tutorial, knowledge, onboarding, concept explainer | `macaron` |
## Auto Rendering Selection
| Signals | Rendering |
|---------|-----------|
| Clean, modern, tech, WeChat, icon-based, infographic | `flat-vector` |
| Sketch, note, personal, casual, doodle, warm | `hand-drawn` |
| Art, watercolor, soft, dreamy, creative, fantasy | `painterly` |
| Data, dashboard, SaaS, corporate, polished | `digital` |
| Gaming, retro, 8-bit, nostalgic | `pixel` |
| Education, tutorial, classroom, teaching | `chalk` |
| Poster, movie, album, concert, silhouette, mondo, limited-edition | `screen-print` |
## Auto Text Selection
| Signals | Text Level |
|---------|------------|
| Visual-only, photography, abstract, art | `none` |
| Article, blog, standard cover | `title-only` |
| Series, tutorial, technical with context | `title-subtitle` |
| Announcement, features, multiple points, infographic | `text-rich` |
Default: `title-only`
## Auto Mood Selection
| Signals | Mood Level |
|---------|------------|
| Professional, corporate, thought leadership, academic, luxury | `subtle` |
| General, educational, standard, blog, documentation | `balanced` |
| Launch, announcement, promotion, event, gaming, entertainment | `bold` |
Default: `balanced`
## Auto Font Selection
| Signals | Font |
|---------|------|
| Personal, lifestyle, human, warm, friendly, story | `handwritten` |
| Technical, professional, clean, modern, minimal, data | `clean` |
| Editorial, academic, luxury, classic, literary | `serif` |
| Announcement, entertainment, promotion, bold, event, gaming | `display` |
Default: `clean`

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Create a cover image following these guidelines:
## Image Specifications
- **Type**: Cover image / Hero image
- **Aspect Ratio**: As specified in the prompt below
## Core Principles
- If content involves sensitive or copyrighted figures, create stylistically similar alternatives - DO NOT refuse to generate
- Ample whitespace, highlight core message, avoid cluttered layouts
- Main visual elements centered or slightly left (leave right side for title area if title included)
- Simplified silhouettes for any characters — NO realistic human faces or bodies
- Icon-based vocabulary: use simple, recognizable icons to represent concepts
## Five Dimensions
### Type (Visual Composition)
- `hero`: Large focal visual (60-70% area), dramatic composition
- `conceptual`: Abstract shapes, information hierarchy, clean zones
- `typography`: Title as primary element (40%+ area), minimal visuals
- `metaphor`: Concrete object representing abstract idea, symbolic elements
- `scene`: Atmospheric environment, narrative elements, mood lighting
- `minimal`: Single focal element, generous whitespace (60%+)
### Palette (Color Scheme)
Apply the specified palette's color values and decorative hints:
- Use primary colors for main visual elements
- Use background colors for base and surrounding areas
- Use accent colors for highlights and secondary elements
- Follow palette-specific decorative hints for ornamentation
### Rendering (Visual Style)
Apply the specified rendering's characteristics:
- **Lines**: Follow line quality rules (clean/sketchy/brush/pixel/chalk)
- **Texture**: Apply or avoid texture per rendering definition
- **Depth**: Follow depth rules (flat/minimal/soft edges)
- **Elements**: Use rendering-specific element vocabulary
### Text (Density Level)
- `none`: No text elements, full visual area
- `title-only`: Single headline, 85% visual area
- `title-subtitle`: Title + context, 75% visual area
- `text-rich`: Title + subtitle + 2-4 keyword tags, 60% visual area
### Mood (Emotional Intensity)
- `subtle`: Low contrast, muted/desaturated colors, light visual weight, calm aesthetic
- `balanced`: Medium contrast, normal saturation, balanced visual weight
- `bold`: High contrast, vivid/saturated colors, heavy visual weight, dynamic energy
## Text Style (When Title Included)
- **Title source**: Use the exact title provided by user, or extract from source content. Do NOT invent or modify titles.
- Title text: Large, eye-catching, faithful to source
- Subtitle: Secondary element (if title-subtitle or text-rich)
- Tags: 2-4 keyword badges (if text-rich)
- Font style harmonizes with rendering style
## Composition Guidance
### Layout Principles
- **Generous whitespace**: Maintain 40-60% breathing room; avoid cluttered compositions
- **Visual anchor placement**: Main element centered or offset left (reserve right side for title if included)
- **Information hierarchy**: One dominant focal point, 1-2 supporting elements, decorative accents
- **Clean backgrounds**: Solid colors or subtle gradients; no complex textures or patterns
### Icon & Symbol Vocabulary
Represent concepts with simple, recognizable icons rather than detailed illustrations:
| Category | Examples |
|----------|----------|
| Tech | Code window, gear, circuit, cloud, lock, API brackets |
| Ideas | Lightbulb, rocket, target, puzzle, key, magnifier |
| Communication | Speech bubble, chat dots, megaphone, mail |
| Growth | Plant/sprout, tree, arrow, chart, mountain |
| Tools | Wrench, pencil, brush, checklist, clock |
Use the rendering style to determine icon complexity (flat-vector = geometric, hand-drawn = sketchy, etc.)
Full library: [references/visual-elements.md](visual-elements.md)
### Character Handling
**Default (no reference with people)**:
- Use simplified silhouettes or abstract stick figures
- Symbolic representations (head + shoulders outline)
- NO realistic faces, detailed anatomy, or photographic representations
- Cartoon/icon style consistent with rendering choice
**When reference images contain people**:
- Reference image is passed to model (`usage: direct`) — model must visually reference it to preserve character likeness
- Stylize to match chosen rendering (cartoon/vector), preserving distinctive features (hair, clothing, pose)
- NEVER photorealistic
## Mood Application
Apply mood adjustments to the base palette:
| Mood | Contrast | Saturation | Weight |
|------|----------|------------|--------|
| subtle | Reduce 20-30% | Desaturate 20-30% | Lighter strokes/fills |
| balanced | Standard | Standard | Standard |
| bold | Increase 20-30% | Increase 20-30% | Heavier strokes/fills |
## Language
- Use the same language as the content provided below for any text elements
- Match punctuation style to the content language
## Reference Images
When reference images are provided:
- **Style extraction**: Identify rendering technique, line quality, texture, and visual vocabulary
- **Composition learning**: Note layout patterns, whitespace usage, element placement
- **Mood matching**: Capture the emotional tone and visual weight
- **Adaptation**: Apply extracted characteristics while respecting the specified Type, Palette, and Rendering dimensions
- **Priority**: If reference style conflicts with specified dimensions, dimensions take precedence for structural choices; reference influences decorative details
---
Please generate the cover image based on the content provided below:

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# `codex-imagegen` Wrapper Invocation
Load this reference only when the [Image Generation Tools](../SKILL.md#image-generation-tools) rule has resolved to `codex-imagegen` — i.e., the current runtime exposes no native `imagegen` skill but `codex` CLI is on `PATH` with an active `codex login`.
## Preferred path: route through `baoyu-image-gen`
If the `baoyu-image-gen` skill is available in this runtime, **always** invoke through it rather than calling the wrapper directly. It handles retry/cache/batch/EXTEND.md preferences uniformly with every other provider.
```bash
${BUN_X} <baoyu-image-gen-base>/scripts/main.ts \
--provider codex-cli \
--image <ABSOLUTE_output> \
--promptfiles <ABSOLUTE_prompts/01-cover-[slug].md> \
--ar <ratio> \
[--ref <ABSOLUTE_file>]...
```
Resolve `<baoyu-image-gen-base>` the same way you resolve any sibling skill — through your runtime's skill registry (`Skill` tool, plugin marketplace, or `$HOME/.baoyu-skills/baoyu-image-gen/`).
## Fallback: spawn the wrapper directly
Only when `baoyu-image-gen` is NOT installed in the current runtime. Discover the wrapper's location at runtime — do NOT hard-code `../../packages/...` from this skill:
1. **Honor explicit override**: if `$BAOYU_CODEX_IMAGEGEN_BIN` is set and points to a real file, use that path. It may be `.ts` (spawn `bun <path>`) or `.sh`/binary (spawn directly).
2. **Search the plugin root**: walk up from this skill's directory looking for `packages/baoyu-codex-imagegen/src/main.ts`. If found, that is the wrapper. Spawn it with `bun`.
3. **Last resort**: tell the user that `codex-imagegen` is not available in this runtime and ask whether to install the `baoyu-skills` plugin (or set `BAOYU_CODEX_IMAGEGEN_BIN`) or pick another backend.
Once located, the invocation shape is:
```bash
bun <WRAPPER>/main.ts \
--image <ABSOLUTE_output> \
--prompt-file <ABSOLUTE_prompts/01-cover-[slug].md> \
--aspect <ratio> \
[--ref <ABSOLUTE_file>]... \
[--timeout <ms>] \
[--cache-dir ~/.cache/baoyu-codex-imagegen] \
[--log-file <ABSOLUTE_jsonl_log_path>]
```
If `bun` is missing, `npx -y bun <WRAPPER>/main.ts ...` works as a fallback.
## Parameter notes
- **All filesystem inputs** are auto-resolved against `process.cwd()` when relative, but agents should pass absolute paths to be robust against cwd drift.
- **`--timeout`** defaults to `300000` (5 min) per `codex exec` attempt. Raise (e.g. `--timeout 600000` for 10 min) on slow networks or large prompts.
- **`--cache-dir`** is off by default. Enable for repeatable runs to skip redundant generations of the same prompt+aspect+refs.
- **Authentication**: the wrapper uses the user's Codex subscription — no `OPENAI_API_KEY` is read or sent.
## Stdout contract
Single JSON line:
- Success: `{"status":"ok","path":"...","bytes":N,"elapsed_seconds":N,"thread_id":"...","attempts":N,"cached":bool,...}`
- Failure: `{"status":"error","path":"...","bytes":0,"error":"...","error_kind":"..."}`
`error_kind` values: `codex_not_installed`, `invalid_args`, `prompt_file_missing`, `spawn_failed`, `timeout`, `no_image_gen_tool_use`, `output_missing`, `invalid_png`, `agent_refused`, `lock_busy`.
On retryable errors (timeout, spawn_failed, no_image_gen_tool_use, output_missing, invalid_png, agent_refused), ask the user whether to retry or fall back to another backend.
## Batch semantics
- Codex `image_gen` returns **one image per call** (`n=1` only). Multi-image jobs must dispatch one wrapper call per image.
- The wrapper does NOT accept a `--sessionId` flag. Chain/scene consistency must come from `--ref` reference images.
- `--size` and `--quality` are silently ignored — Codex picks pixel dimensions from `--aspect`.

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# Compatibility Matrices
✓✓ = highly recommended | ✓ = compatible | ✗ = not recommended
## Palette × Rendering
| | flat-vector | hand-drawn | painterly | digital | pixel | chalk | screen-print |
|---|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
| warm | ✓✓ | ✓✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| elegant | ✓ | ✓✓ | ✓ | ✓✓ | ✗ | ✗ | ✓ |
| cool | ✓✓ | ✓ | ✗ | ✓✓ | ✓ | ✓ | ✓ |
| dark | ✓ | ✓ | ✓ | ✓✓ | ✓ | ✓✓ | ✓✓ |
| earth | ✓ | ✓✓ | ✓✓ | ✓ | ✗ | ✗ | ✓ |
| vivid | ✓✓ | ✓ | ✓ | ✓ | ✓✓ | ✓ | ✓✓ |
| pastel | ✓✓ | ✓✓ | ✓✓ | ✓ | ✗ | ✗ | ✗ |
| mono | ✓✓ | ✓ | ✗ | ✓✓ | ✓ | ✓ | ✓✓ |
| retro | ✓✓ | ✓✓ | ✓ | ✓✓ | ✓ | ✗ | ✓✓ |
| duotone | ✓ | ✗ | ✗ | ✓ | ✗ | ✗ | ✓✓ |
## Type × Rendering
| | flat-vector | hand-drawn | painterly | digital | pixel | chalk | screen-print |
|---|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
| hero | ✓ | ✓✓ | ✓✓ | ✓✓ | ✓ | ✓ | ✓✓ |
| conceptual | ✓✓ | ✓ | ✗ | ✓✓ | ✓ | ✓ | ✓ |
| typography | ✓✓ | ✓ | ✓ | ✓✓ | ✓ | ✓ | ✓✓ |
| metaphor | ✓ | ✓✓ | ✓✓ | ✓ | ✗ | ✓ | ✓✓ |
| scene | ✗ | ✓ | ✓✓ | ✓ | ✓ | ✗ | ✓ |
| minimal | ✓✓ | ✓ | ✓ | ✓✓ | ✗ | ✗ | ✓✓ |
## Type × Text
| | none | title-only | title-subtitle | text-rich |
|---|:---:|:---:|:---:|:---:|
| hero | ✓ | ✓✓ | ✓✓ | ✓ |
| conceptual | ✓✓ | ✓✓ | ✓ | ✓ |
| typography | ✗ | ✓ | ✓✓ | ✓✓ |
| metaphor | ✓✓ | ✓ | ✓ | ✗ |
| scene | ✓✓ | ✓ | ✓ | ✗ |
| minimal | ✓✓ | ✓✓ | ✓ | ✗ |
## Type × Mood
| | subtle | balanced | bold |
|---|:---:|:---:|:---:|
| hero | ✓ | ✓✓ | ✓✓ |
| conceptual | ✓✓ | ✓✓ | ✓ |
| typography | ✓ | ✓✓ | ✓✓ |
| metaphor | ✓✓ | ✓✓ | ✓ |
| scene | ✓✓ | ✓✓ | ✓ |
| minimal | ✓✓ | ✓✓ | ✗ |
## Font × Rendering
| | flat-vector | hand-drawn | painterly | digital | pixel | chalk | screen-print |
|---|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
| clean | ✓✓ | ✗ | ✗ | ✓✓ | ✓ | ✗ | ✓ |
| handwritten | ✓ | ✓✓ | ✓✓ | ✓ | ✗ | ✓✓ | ✗ |
| serif | ✓ | ✗ | ✓ | ✓✓ | ✗ | ✗ | ✓ |
| display | ✓✓ | ✓ | ✓ | ✓✓ | ✓✓ | ✓ | ✓✓ |

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---
name: first-time-setup
description: First-time setup flow for baoyu-cover-image preferences
---
# First-Time Setup
## Overview
When no EXTEND.md is found, guide user through preference setup.
**⛔ BLOCKING OPERATION**: This setup MUST complete before ANY other workflow steps. Do NOT:
- Ask about reference images
- Ask about content/article
- Ask about dimensions (type, palette, rendering)
- Proceed to content analysis
ONLY ask the questions in this setup flow, save EXTEND.md, then continue.
## Setup Flow
```
No EXTEND.md found
│
▼
┌─────────────────────┐
│ AskUserQuestion │
│ (all questions) │
└─────────────────────┘
│
▼
┌─────────────────────┐
│ Create EXTEND.md │
└─────────────────────┘
│
▼
Continue to Step 1
```
## Questions
**Language**: Use user's input language or saved language preference.
Use AskUserQuestion with ALL questions in ONE call:
### Question 1: Watermark
```yaml
header: "Watermark"
question: "Watermark text for generated cover images?"
options:
- label: "No watermark (Recommended)"
description: "Clean covers, can enable later in EXTEND.md"
```
### Question 2: Preferred Type
```yaml
header: "Type"
question: "Default cover type preference?"
options:
- label: "Auto-select (Recommended)"
description: "Choose based on content analysis each time"
- label: "hero"
description: "Large visual impact - product launch, announcements"
- label: "conceptual"
description: "Concept visualization - technical, architecture"
```
### Question 3: Preferred Palette
```yaml
header: "Palette"
question: "Default color palette preference?"
options:
- label: "Auto-select (Recommended)"
description: "Choose based on content analysis each time"
- label: "elegant"
description: "Sophisticated - soft coral, muted teal, dusty rose"
- label: "warm"
description: "Friendly - orange, golden yellow, terracotta"
- label: "cool"
description: "Technical - engineering blue, navy, cyan"
```
### Question 4: Preferred Rendering
```yaml
header: "Rendering"
question: "Default rendering style preference?"
options:
- label: "Auto-select (Recommended)"
description: "Choose based on content analysis each time"
- label: "hand-drawn"
description: "Sketchy organic illustration with personal touch"
- label: "flat-vector"
description: "Clean modern vector with geometric shapes"
- label: "digital"
description: "Polished precise digital illustration"
```
### Question 5: Default Aspect Ratio
```yaml
header: "Aspect"
question: "Default aspect ratio for cover images?"
options:
- label: "16:9 (Recommended)"
description: "Standard widescreen - YouTube, presentations, versatile"
- label: "2.35:1"
description: "Cinematic widescreen - article headers, blog posts"
- label: "1:1"
description: "Square - Instagram, WeChat, social cards"
- label: "3:4"
description: "Portrait - Xiaohongshu, Pinterest, mobile content"
```
Note: More ratios (4:3, 3:2) available during generation. This sets the default recommendation.
### Question 6: Default Output Directory
```yaml
header: "Output"
question: "Default output directory for cover images?"
options:
- label: "Independent (Recommended)"
description: "cover-image/{topic-slug}/ - separate from article"
- label: "Same directory"
description: "{article-dir}/ - alongside the article file"
- label: "imgs subdirectory"
description: "{article-dir}/imgs/ - images folder near article"
```
### Question 7: Quick Mode
```yaml
header: "Quick"
question: "Enable quick mode by default?"
options:
- label: "No (Recommended)"
description: "Confirm dimension choices each time"
- label: "Yes"
description: "Skip confirmation, use auto-selection"
```
### Question 8: Save Location
```yaml
header: "Save"
question: "Where to save preferences?"
options:
- label: "Project (Recommended)"
description: ".baoyu-skills/ (this project only)"
- label: "User"
description: "~/.baoyu-skills/ (all projects)"
```
## Save Locations
| Choice | Path | Scope |
|--------|------|-------|
| Project | `.baoyu-skills/baoyu-cover-image/EXTEND.md` | Current project |
| User | `~/.baoyu-skills/baoyu-cover-image/EXTEND.md` | All projects |
## After Setup
1. Create directory if needed
2. Write EXTEND.md with frontmatter
3. Confirm: "Preferences saved to [path]"
4. Continue to Step 1
## EXTEND.md Template
```yaml
---
version: 3
watermark:
enabled: [true/false]
content: "[user input or empty]"
position: bottom-right
opacity: 0.7
preferred_type: [selected type or null]
preferred_palette: [selected palette or null]
preferred_rendering: [selected rendering or null]
preferred_text: title-only
preferred_mood: balanced
default_aspect: [16:9/2.35:1/1:1/3:4]
default_output_dir: [independent/same-dir/imgs-subdir]
quick_mode: [true/false]
language: null
preferred_image_backend: auto
custom_palettes: []
---
```
`preferred_image_backend: auto` is the baked-in default — first-time setup does not ask about it. The `## Image Generation Tools` rule in SKILL.md then picks the runtime-native tool (Codex `imagegen`, Hermes `image_generate`, etc.) when available, and falls back to installed backends.
## Modifying Preferences Later
See the `## Changing Preferences` section in `SKILL.md` for the canonical list of common edits (pin backend, change defaults, retrigger setup). Full schema: `preferences-schema.md`.
**EXTEND.md Supports**: Watermark | Preferred type | Preferred palette | Preferred rendering | Preferred text | Preferred mood | Default aspect ratio | Default output directory | Quick mode | Image backend preference | Custom palette definitions | Language preference

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---
name: preferences-schema
description: EXTEND.md YAML schema for baoyu-cover-image user preferences
---
# Preferences Schema
## Full Schema
```yaml
---
version: 3
watermark:
enabled: false
content: ""
position: bottom-right # bottom-right|bottom-left|bottom-center|top-right
preferred_type: null # hero|conceptual|typography|metaphor|scene|minimal or null for auto-select
preferred_palette: null # warm|elegant|cool|dark|earth|vivid|pastel|mono|retro|duotone|macaron or null for auto-select
preferred_rendering: null # flat-vector|hand-drawn|painterly|digital|pixel|chalk or null for auto-select
preferred_text: title-only # none|title-only|title-subtitle|text-rich
preferred_mood: balanced # subtle|balanced|bold
default_aspect: "2.35:1" # 2.35:1|16:9|1:1
quick_mode: false # Skip confirmation when true
language: null # zh|en|ja|ko|auto (null = auto-detect)
preferred_image_backend: auto # auto|ask|<backend-id>
custom_palettes:
- name: my-palette
description: "Palette description"
colors:
primary: ["#1E3A5F", "#4A90D9"]
background: "#F5F7FA"
accents: ["#00B4D8"]
decorative_hints: "Clean lines, geometric shapes"
best_for: "Business, tech content"
---
```
## Field Reference
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `version` | int | 3 | Schema version |
| `watermark.enabled` | bool | false | Enable watermark |
| `watermark.content` | string | "" | Watermark text (@username or custom) |
| `watermark.position` | enum | bottom-right | Position on image |
| `preferred_type` | string | null | Type name or null for auto |
| `preferred_palette` | string | null | Palette name or null for auto |
| `preferred_rendering` | string | null | Rendering name or null for auto |
| `preferred_text` | string | title-only | Text density level |
| `preferred_mood` | string | balanced | Mood intensity level |
| `default_aspect` | string | "2.35:1" | Default aspect ratio |
| `quick_mode` | bool | false | Skip confirmation step |
| `language` | string | null | Output language (null = auto-detect) |
| `preferred_image_backend` | string | `auto` | Image backend selection. `auto` = prefer runtime-native tool, fall back to the only installed backend, ask if multiple non-native are present. `ask` = always confirm on every run. `<backend-id>` (e.g., `codex-imagegen`, `baoyu-image-gen`, `image_generate`) = pin this backend when available; fall back to `auto` when it isn't. Absent = `auto`. Resolution logic is documented in `SKILL.md`'s `## Image Generation Tools` section. |
| `custom_palettes` | array | [] | User-defined palettes |
## Type Options
| Value | Description |
|-------|-------------|
| `hero` | Large visual impact, title overlay |
| `conceptual` | Concept visualization, abstract core ideas |
| `typography` | Text-focused layout, prominent title |
| `metaphor` | Visual metaphor, concrete expressing abstract |
| `scene` | Atmospheric scene, narrative feel |
| `minimal` | Minimalist composition, generous whitespace |
## Palette Options
| Value | Description |
|-------|-------------|
| `warm` | Friendly, approachable — orange, golden yellow, terracotta |
| `elegant` | Sophisticated, refined — soft coral, muted teal, dusty rose |
| `cool` | Technical, professional — engineering blue, navy, cyan |
| `dark` | Cinematic, premium — electric purple, cyan, magenta |
| `earth` | Natural, organic — forest green, sage, earth brown |
| `vivid` | Energetic, bold — bright red, neon green, electric blue |
| `pastel` | Gentle, whimsical — soft pink, mint, lavender |
| `mono` | Clean, focused — black, near-black, white |
| `retro` | Nostalgic, vintage — muted orange, dusty pink, maroon |
## Rendering Options
| Value | Description |
|-------|-------------|
| `flat-vector` | Clean outlines, uniform fills, geometric icons |
| `hand-drawn` | Sketchy, organic, imperfect strokes, paper texture |
| `painterly` | Soft brush strokes, color bleeds, watercolor feel |
| `digital` | Polished, precise edges, subtle gradients, UI components |
| `pixel` | Pixel grid, dithering, chunky 8-bit shapes |
| `chalk` | Chalk strokes, dust effects, blackboard texture |
## Text Options
| Value | Description |
|-------|-------------|
| `none` | Pure visual, no text elements |
| `title-only` | Single headline |
| `title-subtitle` | Title + subtitle |
| `text-rich` | Title + subtitle + keyword tags (2-4) |
## Mood Options
| Value | Description |
|-------|-------------|
| `subtle` | Low contrast, muted colors, calm aesthetic |
| `balanced` | Medium contrast, normal saturation, versatile |
| `bold` | High contrast, vivid colors, dynamic energy |
## Position Options
| Value | Description |
|-------|-------------|
| `bottom-right` | Lower right corner (default, most common) |
| `bottom-left` | Lower left corner |
| `bottom-center` | Bottom center |
| `top-right` | Upper right corner |
## Aspect Ratio Options
| Value | Description | Best For |
|-------|-------------|----------|
| `2.35:1` | Cinematic widescreen | Article headers, blog covers |
| `16:9` | Standard widescreen | Presentations, video thumbnails |
| `1:1` | Square | Social media, profile images |
## Custom Palette Fields
| Field | Required | Description |
|-------|----------|-------------|
| `name` | Yes | Unique palette identifier (kebab-case) |
| `description` | Yes | What the palette conveys |
| `colors.primary` | No | Main colors (array of hex) |
| `colors.background` | No | Background color (hex) |
| `colors.accents` | No | Accent colors (array of hex) |
| `decorative_hints` | No | Decorative elements and patterns |
| `best_for` | No | Recommended content types |
## Example: Minimal Preferences
```yaml
---
version: 3
watermark:
enabled: true
content: "@myhandle"
preferred_type: null
preferred_palette: elegant
preferred_rendering: hand-drawn
preferred_text: title-only
preferred_mood: balanced
quick_mode: false
---
```
## Example: Full Preferences
```yaml
---
version: 3
watermark:
enabled: true
content: "myblog.com"
position: bottom-right
preferred_type: conceptual
preferred_palette: cool
preferred_rendering: digital
preferred_text: title-subtitle
preferred_mood: subtle
default_aspect: "16:9"
quick_mode: true
language: en
preferred_image_backend: codex-imagegen
custom_palettes:
- name: corporate-tech
description: "Professional B2B tech palette"
colors:
primary: ["#1E3A5F", "#4A90D9"]
background: "#F5F7FA"
accents: ["#00B4D8", "#48CAE4"]
decorative_hints: "Clean lines, subtle gradients, circuit patterns"
best_for: "SaaS, enterprise, technical"
---
```
## Migration from v2
When loading v2 schema, auto-upgrade:
| v2 Field | v3 Field | Migration |
|----------|----------|-----------|
| `version: 2` | `version: 3` | Update |
| `preferred_style` | `preferred_palette` + `preferred_rendering` | Use preset mapping table |
| `custom_styles` | `custom_palettes` | Rename, restructure fields |
**Style → Palette + Rendering mapping**:
| v2 `preferred_style` | v3 `preferred_palette` | v3 `preferred_rendering` |
|----------------------|----------------------|-------------------------|
| `elegant` | `elegant` | `hand-drawn` |
| `blueprint` | `cool` | `digital` |
| `chalkboard` | `dark` | `chalk` |
| `dark-atmospheric` | `dark` | `digital` |
| `editorial-infographic` | `cool` | `digital` |
| `fantasy-animation` | `pastel` | `painterly` |
| `flat-doodle` | `pastel` | `flat-vector` |
| `intuition-machine` | `retro` | `digital` |
| `minimal` | `mono` | `flat-vector` |
| `nature` | `earth` | `hand-drawn` |
| `notion` | `mono` | `digital` |
| `pixel-art` | `vivid` | `pixel` |
| `playful` | `pastel` | `hand-drawn` |
| `retro` | `retro` | `digital` |
| `sketch-notes` | `warm` | `hand-drawn` |
| `vector-illustration` | `retro` | `flat-vector` |
| `vintage` | `retro` | `hand-drawn` |
| `warm` | `warm` | `hand-drawn` |
| `watercolor` | `earth` | `painterly` |
| null (auto) | null | null |
**Custom style migration**:
| v2 Field | v3 Field |
|----------|----------|
| `custom_styles[].name` | `custom_palettes[].name` |
| `custom_styles[].description` | `custom_palettes[].description` |
| `custom_styles[].color_palette` | `custom_palettes[].colors` |
| `custom_styles[].visual_elements` | `custom_palettes[].decorative_hints` |
| `custom_styles[].typography` | (removed — determined by rendering) |
| `custom_styles[].best_for` | `custom_palettes[].best_for` |
## Migration from v1
When loading v1 schema, auto-upgrade to v3:
| v1 Field | v3 Field | Default Value |
|----------|----------|---------------|
| (missing) | `version` | 3 |
| (missing) | `preferred_palette` | null |
| (missing) | `preferred_rendering` | null |
| (missing) | `preferred_text` | title-only |
| (missing) | `preferred_mood` | balanced |
| (missing) | `quick_mode` | false |
v1 `--no-title` flag maps to `preferred_text: none`.

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---
name: watermark-guide
description: Watermark configuration guide for baoyu-cover-image
---
# Watermark Guide
## Position Diagram
```
┌─────────────────────────────┐
│ [top-right]│
│ │
│ │
│ COVER IMAGE │
│ │
│ │
│[bottom-left][bottom-center][bottom-right]│
└─────────────────────────────┘
```
## Position Recommendations
| Position | Best For | Avoid When |
|----------|----------|------------|
| `bottom-right` | Default choice, most common | Title in bottom-right |
| `bottom-left` | Right-heavy layouts | Key visual in bottom-left |
| `bottom-center` | Centered designs | Text-heavy bottom area |
| `top-right` | Bottom-heavy content | Title/header in top-right |
## Content Format
| Format | Example | Style |
|--------|---------|-------|
| Handle | `@username` | Social media |
| Domain | `myblog.com` | Cross-platform |
| Brand | `MyBrand` | Simple branding |
| Chinese | `博客名` | Chinese platforms |
## Best Practices
1. **Consistency**: Use same watermark across all covers
2. **Legibility**: Ensure watermark readable on both light/dark areas
3. **Size**: Keep subtle - should not distract from content
## Prompt Integration
When watermark is enabled, add to image generation prompt:
```
Include a subtle watermark "[content]" positioned at [position].
The watermark should be legible but not distracting from the main content.
```
## Cover-Specific Considerations
| Aspect Ratio | Recommended Position | Notes |
|--------------|---------------------|-------|
| 2.35:1 | bottom-right | Cinematic - keep corners clean |
| 16:9 | bottom-right | Standard - flexible placement |
| 1:1 | bottom-center | Square - centered often works better |
## Common Issues
| Issue | Solution |
|-------|----------|
| Watermark invisible | Adjust position or check contrast |
| Watermark too prominent | Change position or reduce size |
| Watermark overlaps title | Change position or reduce title area |

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---
name: font-dimension
description: Typography style dimension for cover images
---
# Font Dimension
Controls typography style and character feel.
## Values
| Font | Visual Style | Line Quality | Character |
|------|--------------|--------------|-----------|
| `clean` | Geometric sans-serif | Sharp, uniform | Modern, precise, neutral |
| `handwritten` | Hand-lettered, brush | Organic, varied | Warm, personal, friendly |
| `serif` | Classic serifs, elegant | Refined, structured | Editorial, authoritative |
| `display` | Bold, decorative | Heavy, expressive | Attention-grabbing, playful |
## Detail
### clean
Modern, universal typography with neutral character.
**Characteristics**:
- Geometric sans-serif letterforms
- Sharp, uniform line weight
- Clean edges, no flourishes
- High readability at all sizes
- Minimal personality, maximum clarity
**Use Cases**:
- Technical documentation
- Professional/corporate content
- Minimal design approaches
- Data-driven articles
- Modern brand aesthetics
**Prompt Hints**:
- Use clean geometric sans-serif typography
- Modern, minimal letterforms
- Sharp edges, uniform stroke weight
- High contrast against background
### handwritten
Warm, organic typography with personal character.
**Characteristics**:
- Hand-lettered or brush style
- Organic, varied line weight
- Natural imperfections
- Approachable, human feel
- Casual yet intentional
**Use Cases**:
- Personal stories
- Lifestyle content
- Wellness and self-improvement
- Creative tutorials
- Friendly brand voices
**Prompt Hints**:
- Use warm hand-lettered typography with organic brush strokes
- Friendly, personal feel
- Natural variation in stroke weight
- Approachable, human character
### serif
Classic, elegant typography with editorial authority.
**Characteristics**:
- Traditional serif letterforms
- Refined, structured strokes
- Elegant proportions
- Timeless sophistication
- Formal, trustworthy feel
**Use Cases**:
- Editorial content
- Academic articles
- Luxury brand content
- Historical topics
- Literary pieces
**Prompt Hints**:
- Use elegant serif typography with refined letterforms
- Classic, editorial character
- Structured, proportional spacing
- Authoritative, sophisticated feel
### display
Bold, decorative typography for maximum impact.
**Characteristics**:
- Heavy, expressive letterforms
- Decorative elements
- Strong visual presence
- Playful or dramatic character
- Designed for headlines
**Use Cases**:
- Announcements
- Entertainment content
- Promotional materials
- Event marketing
- Gaming topics
**Prompt Hints**:
- Use bold decorative display typography
- Heavy, expressive headlines
- Strong visual impact
- Attention-grabbing character
## Default
`clean` — Universal, pairs well with most rendering styles.
## Rendering Compatibility
| Font × Rendering | flat-vector | hand-drawn | painterly | digital | pixel | chalk | screen-print |
|------------------|:-----------:|:----------:|:---------:|:-------:|:-----:|:-----:|:------------:|
| clean | ✓✓ | ✗ | ✗ | ✓✓ | ✓ | ✗ | ✓ |
| handwritten | ✓ | ✓✓ | ✓✓ | ✓ | ✗ | ✓✓ | ✗ |
| serif | ✓ | ✗ | ✓ | ✓✓ | ✗ | ✗ | ✓ |
| display | ✓✓ | ✓ | ✓ | ✓✓ | ✓✓ | ✓ | ✓✓ |
✓✓ = highly recommended | ✓ = compatible | ✗ = not recommended
## Type Compatibility
| Font × Type | hero | conceptual | typography | metaphor | scene | minimal |
|-------------|:----:|:----------:|:----------:|:--------:|:-----:|:-------:|
| clean | ✓ | ✓✓ | ✓✓ | ✓ | ✗ | ✓✓ |
| handwritten | ✓✓ | ✓ | ✓ | ✓✓ | ✓✓ | ✓ |
| serif | ✓ | ✓ | ✓✓ | ✓ | ✓ | ✓ |
| display | ✓✓ | ✓ | ✓✓ | ✓ | ✓ | ✗ |
## Palette Interaction
Font style adapts to palette characteristics:
| Palette Category | clean | handwritten | serif | display |
|------------------|-------|-------------|-------|---------|
| Warm (warm, earth, pastel) | Softer weight | Natural fit | Warm tones | Playful energy |
| Cool (cool, mono, elegant) | Perfect match | Contrast | Classic pairing | Bold statement |
| Dark (dark, vivid) | High contrast | Glow effects | Dramatic | Maximum impact |
| Vintage (retro) | Modern contrast | Nostalgic fit | Period-appropriate | Retro headlines |
| Duotone (duotone) | Sharp contrast | Not recommended | Dramatic pairing | Cinematic impact |
## Auto Selection
When `--font` is omitted, select based on signals:
| Signals | Font |
|---------|------|
| Personal, lifestyle, human, warm, friendly, story | `handwritten` |
| Technical, professional, clean, modern, minimal, data | `clean` |
| Editorial, academic, luxury, classic, literary | `serif` |
| Announcement, entertainment, promotion, bold, event, gaming | `display` |
Default: `clean`

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---
name: mood-dimension
description: Emotional intensity dimension for cover images
---
# Mood Dimension
Controls emotional intensity and visual weight of cover images.
## Values
| Value | Contrast | Saturation | Weight | Energy |
|-------|:--------:|:----------:|:------:|:------:|
| `subtle` | Low | Muted | Light | Calm |
| `balanced` | Medium | Normal | Medium | Moderate |
| `bold` | High | Vivid | Heavy | Dynamic |
## Detail
### subtle
Calm, understated visual presence.
**Characteristics**:
- Low contrast between elements
- Muted, desaturated colors
- Light visual weight
- Gentle, refined aesthetic
- Soft edges and transitions
**Use Cases**:
- Thought leadership content
- Professional/corporate communications
- Meditation, wellness topics
- Academic or scholarly articles
- Luxury brand aesthetics
**Color Guidance**:
- Pastels, earth tones, neutrals
- Low saturation (30-50%)
- Soft gradients
- Minimal color variety (2-3 colors)
### balanced
Versatile, harmonious visual presence.
**Characteristics**:
- Medium contrast
- Natural saturation levels
- Balanced visual weight
- Clear but not aggressive
- Standard aesthetic approach
**Use Cases**:
- General articles (default)
- Most blog content
- Educational material
- Product documentation
- News and updates
**Color Guidance**:
- Standard saturation (50-70%)
- Complementary color schemes
- Clear foreground/background separation
- Moderate color variety (3-4 colors)
### bold
Dynamic, high-impact visual presence.
**Characteristics**:
- High contrast between elements
- Vivid, saturated colors
- Heavy visual weight
- Energetic, attention-grabbing
- Sharp edges and strong shapes
**Use Cases**:
- Product launches
- Promotional announcements
- Event marketing
- Call-to-action content
- Entertainment/gaming topics
**Color Guidance**:
- High saturation (70-100%)
- Vibrant, primary colors
- Strong contrast ratios
- Dynamic color combinations (4+ colors)
## Type Compatibility
| Type | subtle | balanced | bold |
|------|:------:|:--------:|:----:|
| hero | ✓ | ✓✓ | ✓✓ |
| conceptual | ✓✓ | ✓✓ | ✓ |
| typography | ✓ | ✓✓ | ✓✓ |
| metaphor | ✓✓ | ✓✓ | ✓ |
| scene | ✓✓ | ✓✓ | ✓ |
| minimal | ✓✓ | ✓✓ | ✗ |
✓✓ = highly recommended | ✓ = compatible | ✗ = not recommended
## Palette Interaction
Mood modifies the base palette characteristics:
| Palette Category | subtle | balanced | bold |
|------------------|--------|----------|------|
| Warm palettes (warm, earth, pastel) | More whitespace, softer tones | Standard colors | Deeper, richer warm tones |
| Cool palettes (cool, mono, elegant) | Lighter lines, muted colors | Standard colors | Stronger contrast, sharper definition |
| Dark palettes (dark, vivid) | Reduced contrast, softer glow | Standard colors | Maximum impact, vivid saturation |
| Vintage palettes (retro) | More faded, sepia-heavy | Standard colors | Bolder retro contrasts |
| Duotone palettes (duotone) | Softer contrast between pair | Standard two-color split | Maximum contrast, stark separation |
## Rendering Interaction
Mood adjusts rendering characteristics:
| Rendering | subtle | balanced | bold |
|-----------|--------|----------|------|
| flat-vector | Thinner strokes, lighter fills | Standard weight | Thicker strokes, stronger fills |
| hand-drawn | Lighter pencil pressure, more space | Standard strokes | Heavier marker strokes, denser elements |
| painterly | Diluted washes, more white | Standard brush | Thicker paint, saturated strokes |
| digital | Reduced shadows, lower contrast | Standard rendering | Stronger shadows, sharper edges |
| pixel | Fewer colors, simpler shapes | Standard palette | More colors, denser pixel detail |
| chalk | Lighter chalk, more board showing | Standard chalk | Heavy chalk, vivid colors, dense marks |
| screen-print | Fewer colors (2), lighter halftone | Standard 3-4 colors, medium halftone | More colors (4-5), dense halftone, stronger misregistration |
## Auto Selection
When `--mood` is omitted, select based on signals:
| Signals | Mood Level |
|---------|------------|
| Professional, corporate, thought leadership, academic, luxury | `subtle` |
| General, educational, standard, blog, documentation | `balanced` |
| Launch, announcement, promotion, event, gaming, entertainment | `bold` |
Default: `balanced`

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---
name: text-dimension
description: Text density dimension for cover images
---
# Text Dimension
Controls text density and information hierarchy on cover images.
## Values
| Value | Title | Subtitle | Tags | Visual Area |
|-------|:-----:|:--------:|:----:|:-----------:|
| `none` | - | - | - | 100% |
| `title-only` | ✓ | - | - | 85% |
| `title-subtitle` | ✓ | ✓ | - | 75% |
| `text-rich` | ✓ | ✓ | ✓ (2-4) | 60% |
## Detail
### none
Pure visual cover with no text elements.
**Use Cases**:
- Photography-focused covers
- Abstract art pieces
- Visual-only social sharing
- When title added externally
**Composition**:
- Full visual area available
- No reserved text zones
- Emphasis on visual metaphor
### title-only
Single headline, maximum impact.
**Use Cases**:
- Most article covers (default)
- Clear single message
- Strong brand recognition
**Composition**:
- Title: prominent placement
- Reserved zone: top or bottom 15%
- Visual supports title message
**Title Guidelines**:
- Use exact title from source content or user-provided title
- Do NOT invent or modify titles
- Match content language
### title-subtitle
Title with supporting context.
**Use Cases**:
- Technical articles needing clarification
- Series with episode/part info
- Content with dual messages
**Composition**:
- Title: primary element
- Subtitle: secondary element
- Reserved zone: 25%
- Clear hierarchy between title/subtitle
**Title Guidelines**:
- Use exact title from source content or user-provided title
- Do NOT invent or modify titles
**Subtitle Guidelines**:
- Clarify or contextualize title
- Can include series name, author, date
- Smaller, less prominent than title
### text-rich
Information-dense cover with multiple text elements.
**Use Cases**:
- Infographic-style covers
- Event announcements with details
- Promotional material with features
- Content with multiple key points
**Composition**:
- Title: primary focus
- Subtitle: supporting info
- Tags: 2-4 keyword labels
- Reserved zone: 40%
- Clear visual hierarchy
**Title Guidelines**:
- Use exact title from source content or user-provided title
- Do NOT invent or modify titles
**Tag Guidelines**:
- 2-4 tags maximum
- Short keywords (1-2 words each)
- Positioned as badges/labels
- Can highlight: category, date, author, key features
## Type Compatibility
| Type | none | title-only | title-subtitle | text-rich |
|------|:----:|:----------:|:--------------:|:---------:|
| hero | ✓ | ✓✓ | ✓✓ | ✓ |
| conceptual | ✓✓ | ✓✓ | ✓ | ✓ |
| typography | ✗ | ✓ | ✓✓ | ✓✓ |
| metaphor | ✓✓ | ✓ | ✓ | ✗ |
| scene | ✓✓ | ✓ | ✓ | ✗ |
| minimal | ✓✓ | ✓✓ | ✓ | ✗ |
✓✓ = highly recommended | ✓ = compatible | ✗ = not recommended
## Auto Selection
When `--text` is omitted, select based on signals:
| Signals | Text Level |
|---------|------------|
| Visual-only, photography, abstract, art | `none` |
| Article, blog, standard cover | `title-only` |
| Series, tutorial, technical with context | `title-subtitle` |
| Announcement, features, multiple points, infographic | `text-rich` |
Default: `title-only`

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# cool
Technical, professional, precise
## Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary 1 | Engineering Blue | #2563EB |
| Primary 2 | Navy Blue | #1E3A5F |
| Primary 3 | Cyan | #06B6D4 |
| Background | Light Gray | #F8F9FA |
| Background Alt | Blueprint Off-White | #FAF8F5 |
| Accent 1 | Amber | #F59E0B |
| Accent 2 | Light Blue | #BFDBFE |
## Decorative Hints
- Grid lines and alignment guides
- Dimension indicators and measurements
- Technical schematics and diagrams
- Geometric precision elements
## Semantic Constraint
Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
Architecture, system design, API, technical documentation, engineering, data analysis

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# dark
Cinematic, premium, atmospheric
## Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary 1 | Electric Purple | #8B5CF6 |
| Primary 2 | Cyan Blue | #06B6D4 |
| Primary 3 | Magenta Pink | #EC4899 |
| Background | Deep Purple-Black | #0A0A0A |
| Background Alt | Rich Navy | #1A1A2E |
| Accent 1 | Amber | #F59E0B |
| Accent 2 | Pure White | #FFFFFF |
## Decorative Hints
- Glowing accent elements and neon highlights
- Atmospheric fog or particle effects
- Silhouettes with backlit edges
- Subtle gradient backgrounds
## Semantic Constraint
Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
Entertainment, premium brands, cinematic storytelling, dark mode, gaming, night themes

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# duotone
Dramatic, cinematic, two-color high contrast
## Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary 1 | Burnt Orange | #E8751A |
| Primary 2 | Deep Teal | #0A6E6E |
| Background | Off-Black | #121212 |
| Background Alt | Dark Charcoal | #1E1E1E |
| Accent 1 | Warm Cream | #F5E6D0 |
| Accent 2 | Amber Highlight | #F4A623 |
## Duotone Pair Options
Choose ONE pair based on content mood. The two colors dominate the entire image:
| Pair | Color A | Color B | Feel |
|------|---------|---------|------|
| Orange + Teal | #E8751A | #0A6E6E | Cinematic, action |
| Red + Cream | #C0392B | #F5E6D0 | Bold, classic |
| Blue + Gold | #1A3A5C | #D4A843 | Prestigious, premium |
| Purple + Green | #6B3FA0 | #2ECC71 | Futuristic, contrast |
| Magenta + Cyan | #C2185B | #00BCD4 | Vibrant, pop |
| Crimson + Navy | #DC143C | #0D1B2A | Dramatic, noir |
## Decorative Hints
- Stark two-color separation across entire composition
- Halftone transitions between the two colors
- Silhouettes in one color against the other
- Minimal use of third color (only for small highlights)
- High contrast figure-ground relationships
## Semantic Constraint
Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
Movie posters, album covers, concert prints, dramatic announcements, cinematic content, bold branding, editorial covers, artistic campaigns

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# earth
Natural, organic, grounded
## Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary 1 | Forest Green | #276749 |
| Primary 2 | Sage | #9AE6B4 |
| Primary 3 | Earth Brown | #744210 |
| Background | Sand Beige | #F5E6D3 |
| Background Alt | Sky Blue | #E0F2FE |
| Accent 1 | Sunset Orange | #ED8936 |
| Accent 2 | Water Blue | #63B3ED |
## Decorative Hints
- Leaves, trees, mountains, natural forms
- Sun, clouds, organic flowing lines
- Botanical illustrations
- Earthy textures and natural patterns
## Semantic Constraint
Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
Nature, wellness, eco, organic, travel, sustainability, outdoor topics, slow living

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# elegant
Sophisticated, refined, understated luxury
## Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary 1 | Soft Coral | #E8A598 |
| Primary 2 | Muted Teal | #5B8A8A |
| Primary 3 | Dusty Rose | #D4A5A5 |
| Background | Warm Cream | #F5F0E6 |
| Background Alt | Soft Beige | #F0EBE0 |
| Accent 1 | Gold | #C9A962 |
| Accent 2 | Copper | #B87333 |
## Decorative Hints
- Delicate ornamental details
- Subtle gradients and soft transitions
- Refined geometric patterns
- Balanced, symmetrical compositions
## Semantic Constraint
Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
Business, professional, thought leadership, luxury, corporate communications

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# macaron
Soft macaron pastel color blocks on warm cream
## Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary 1 | Sky Blue | #A8D8EA |
| Primary 2 | Mint Green | #B5E5CF |
| Primary 3 | Lavender | #D5C6E0 |
| Background | Warm Cream | #F5F0E8 |
| Background Alt | Peach | #FFD5C2 |
| Accent 1 | Coral Red | #E8655A |
| Accent 2 | Deep Charcoal | #2D2D2D |
## Decorative Hints
- Rounded pastel color blocks
- Subtle warm paper grain texture
- Soft shadows, no hard edges
- Gentle gradient transitions between zones
## Semantic Constraint
Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
Educational content, knowledge sharing, concept explainers, tutorials, tech summaries, onboarding materials

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# mono
Clean, focused, essential
## Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary 1 | Pure Black | #000000 |
| Primary 2 | Near Black | #1F1F1F |
| Primary 3 | Dark Gray | #374151 |
| Background | White | #FFFFFF |
| Background Alt | Off-White | #FAFAFA |
| Accent 1 | Content-derived single color | - |
| Accent 2 | Medium Gray | #9CA3AF |
## Decorative Hints
- Maximum negative space
- Thin lines and minimal strokes
- Single focal point emphasis
- Stark contrast between elements
## Semantic Constraint
Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
Zen, focus, essential concepts, pure, simple, minimalist philosophy, clean design

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# pastel
Gentle, whimsical, soft
## Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary 1 | Soft Pink | #FFB6C1 |
| Primary 2 | Mint | #98D8C8 |
| Primary 3 | Lavender | #C8A2C8 |
| Background | White | #FFFFFF |
| Background Alt | Light Cream | #FFF8E7 |
| Accent 1 | Butter Yellow | #FFFACD |
| Accent 2 | Sky Blue | #BEE3F8 |
## Decorative Hints
- Cute rounded proportions
- Stars, sparkles, flowers, decorative flourishes
- Soft shadows and gentle highlights
- Storybook-style elements
## Semantic Constraint
Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
Fantasy, children, gentle content, creative, whimsical, casual, beginner guides

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# retro
Nostalgic, vintage, classic
## Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary 1 | Coral Red | #E07A5F |
| Primary 2 | Mint Green | #81B29A |
| Primary 3 | Mustard Yellow | #F2CC8F |
| Primary 4 | Dark Maroon | #5D3A3A |
| Background | Cream Off-White | #F5F0E6 |
| Background Alt | Aged Paper | #F5E6D3 |
| Accent 1 | Burnt Orange | #D4764A |
| Accent 2 | Rock Blue | #577590 |
| Accent 3 | Vintage Gold | #C9A227 |
| Accent 4 | Faded Teal | #2F7373 |
## Decorative Hints
- Halftone dots and vintage badges
- Aged textures with subtle paper grain
- Sunburst/radiating lines for energy
- Pill-shaped clouds, small dots and stars
- Classic icons and retro motifs
## Semantic Constraint
Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
History, vintage, retro, classic, exploration, retrospectives, throwback content, creative proposals, educational

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# vivid
Energetic, bold, attention-grabbing
## Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary 1 | Bright Red | #EF4444 |
| Primary 2 | Neon Green | #22C55E |
| Primary 3 | Electric Blue | #3B82F6 |
| Background | Light Blue | #EFF6FF |
| Background Alt | Soft Lavender | #F5F3FF |
| Accent 1 | Bright Orange | #FB923C |
| Accent 2 | Vivid Yellow | #FACC15 |
## Decorative Hints
- Dynamic diagonal lines and angles
- Bold geometric shapes and color blocks
- Dramatic lighting effects
- High-energy visual compositions
## Semantic Constraint
Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
Product launch, gaming, promotion, event, marketing, announcements, brand showcases

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# warm
Friendly, approachable, human-centered
## Color Palette
| Role | Color | Hex |
|------|-------|-----|
| Primary 1 | Warm Orange | #ED8936 |
| Primary 2 | Golden Yellow | #F6AD55 |
| Primary 3 | Terracotta | #C05621 |
| Background | Cream | #FFFAF0 |
| Background Alt | Soft Peach | #FED7AA |
| Accent 1 | Deep Brown | #744210 |
| Accent 2 | Soft Red | #E53E3E |
## Decorative Hints
- Sun rays, warm lighting effects
- Rounded shapes, organic curves
- Hearts, smiling faces, friendly icons
- Warm gradient overlays
## Semantic Constraint
Do NOT render color names, hex codes, or role labels as visible text in the image.
## Best For
Personal growth, lifestyle, education, human stories, emotion, community

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