From af7f28a13b8a716ea15ad1da0f1373c043660796 Mon Sep 17 00:00:00 2001 From: weishen Date: Mon, 20 Apr 2026 16:01:56 +0800 Subject: [PATCH] Auto-sync: 2026-04-20 16:01 --- Hermes/xingzhi/infographic-llm-wiki-sync.svg | 144 + .../llm-wiki-sync-circular-flow/analysis.md | 72 + .../prompts/infographic.md | 158 ++ .../structured-content.md | 229 ++ ...lm-wiki-sync-circular-flow-infographic.png | Bin 0 -> 2929020 bytes ...复用的知识库 —— llm-wiki-sync 的实现与示例解析.md | 23 + wiki/concepts/360度反馈.md | 19 + wiki/concepts/ADDIE.md | 22 + wiki/concepts/AcademicDetailingCompliance.md | 19 + wiki/concepts/Bloom's-Taxonomy.md | 22 + wiki/concepts/Contextual-Semiotics.md | 20 + wiki/concepts/Cultural-Humility.md | 19 + wiki/concepts/Cultural-Intelligence.md | 21 + wiki/concepts/Gamification.md | 22 + wiki/concepts/Global-First-Architecture.md | 20 + wiki/concepts/HIPO.md | 25 + wiki/concepts/HealthSupplementMarketing.md | 20 + .../concepts/HealthcareMarketingCompliance.md | 27 + 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wiki/entities/Workflow-Architect.md | 40 + wiki/entities/Yunxuetang.md | 19 + wiki/index.md | 2319 +++++++++-------- wiki/log.md | 152 +- wiki/overview.md | 763 +++--- wiki/sources/LLM-Wiki.md | 56 + wiki/sources/corporate-training-designer.md | 78 + .../healthcare-marketing-compliance.md | 43 + ...alized-cultural-intelligence-strategist.md | 45 + .../sources/specialized-workflow-architect.md | 52 + ...传输Docker-images-并且在另一个Docker安装.md | 39 + 54 files changed, 3398 insertions(+), 1579 deletions(-) create mode 100644 Hermes/xingzhi/infographic-llm-wiki-sync.svg create mode 100644 Hermes/xingzhi/infographic/llm-wiki-sync-circular-flow/analysis.md create mode 100644 Hermes/xingzhi/infographic/llm-wiki-sync-circular-flow/prompts/infographic.md create mode 100644 Hermes/xingzhi/infographic/llm-wiki-sync-circular-flow/structured-content.md create mode 100644 Hermes/xingzhi/llm-wiki-sync-circular-flow-infographic.png create mode 100644 wiki/concepts/360度反馈.md create mode 100644 wiki/concepts/ADDIE.md create mode 100644 wiki/concepts/AcademicDetailingCompliance.md create mode 100644 wiki/concepts/Bloom's-Taxonomy.md create mode 100644 wiki/concepts/Contextual-Semiotics.md create mode 100644 wiki/concepts/Cultural-Humility.md create mode 100644 wiki/concepts/Cultural-Intelligence.md create mode 100644 wiki/concepts/Gamification.md create mode 100644 wiki/concepts/Global-First-Architecture.md create mode 100644 wiki/concepts/HIPO.md create mode 100644 wiki/concepts/HealthSupplementMarketing.md create mode 100644 wiki/concepts/HealthcareMarketingCompliance.md create mode 100644 wiki/concepts/InternetHealthcareCompliance.md create mode 100644 wiki/concepts/Invisible-Exclusion.md create mode 100644 wiki/concepts/Kirkpatrick.md create mode 100644 wiki/concepts/Kolb-体验式学习.md create mode 100644 wiki/concepts/MedicalAdvertisingCompliance.md create mode 100644 wiki/concepts/MedicalAestheticsCompliance.md create mode 100644 wiki/concepts/PatientPrivacyProtection.md create mode 100644 wiki/concepts/SAM.md create mode 100644 wiki/concepts/TTT.md create mode 100644 wiki/concepts/Workflow-Architecture.md create mode 100644 wiki/concepts/建构主义学习理论.md create mode 100644 wiki/concepts/新员工培训-90天计划.md create mode 100644 wiki/concepts/混合学习.md create mode 100644 wiki/concepts/翻转课堂.md create mode 100644 wiki/concepts/行动学习.md create mode 100644 wiki/entities/Cultural-Intelligence-Strategist.md create mode 100644 wiki/entities/DingTalk-Learning.md create mode 100644 wiki/entities/Feishu-Knowledge-Base.md create mode 100644 wiki/entities/Healthcare-Marketing-Compliance-Specialist.md create mode 100644 wiki/entities/KoolSchool.md create mode 100644 wiki/entities/UMU.md create mode 100644 wiki/entities/WeCom-Learning.md create mode 100644 wiki/entities/Workflow-Architect.md create mode 100644 wiki/entities/Yunxuetang.md create mode 100644 wiki/sources/LLM-Wiki.md create mode 100644 wiki/sources/corporate-training-designer.md create mode 100644 wiki/sources/healthcare-marketing-compliance.md create mode 100644 wiki/sources/specialized-cultural-intelligence-strategist.md create mode 100644 wiki/sources/specialized-workflow-architect.md create mode 100644 wiki/sources/如何传输Docker-images-并且在另一个Docker安装.md diff --git a/Hermes/xingzhi/infographic-llm-wiki-sync.svg b/Hermes/xingzhi/infographic-llm-wiki-sync.svg new file mode 100644 index 00000000..64a25905 --- /dev/null +++ b/Hermes/xingzhi/infographic-llm-wiki-sync.svg @@ -0,0 +1,144 @@ + + + + + + + + + + + + + + + + + + + + + llm-wiki-sync — 从零散笔记到结构化 Wiki + 把 raw/ 里的素材自动解析为 Source 页面、实体与图谱（chalkboard 风格） + + + + + + + + + + raw/ (source) + + + + + ingest + + + + + extract + + + + + wiki / sources + + + + + graph → quartz + + + + + + + + 1. Parse & Normalize + frontmatter, metadata, language detection + split sections, clean formatting + + + + + + + 2. LLM Extraction + Summary (2–4 sentences) + Key Claims · Quotes · Concepts · Entities + Connections (A → depends_on → B) + + + + + + + 3. Write Source Page + frontmatter + Summary + Claims + Quotes + Create/Update Entities & Concepts pages + Append ingest log (git & audit) + Optional: graph rebuild → graph.json / graph.html + + + + + + Key Outputs & Callouts + + + + Summary + 2–4 concise lines for search & index + + + + + Entities & Concepts + Normalized pages: wiki/entities/, wiki/concepts/ + + + + + Connections + Graph edges for visual discovery (graph.json) + + + + + Operational Notes + Batch size 3–10, audit logs, git checkpoints, Quartz for static export + + + + + + Data sources: Karpathy gist (LLM Wiki), SamurAI llm-wiki-agent (github.com/SamurAIGPT/llm-wiki-agent), Quartz (jackyzha0/quartz) + + + Caption: Chalkboard-style infographic summarizing llm-wiki-sync — an automated pipeline to convert scattered notes (raw/) into structured wiki pages, entities, and a graph for long-term reuse. + + Annotations: include source links in wiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f; https://github.com/SamurAIGPT/llm-wiki-agent; https://github.com/jackyzha0/quartz + + + + + + + + + + + + + diff --git a/Hermes/xingzhi/infographic/llm-wiki-sync-circular-flow/analysis.md b/Hermes/xingzhi/infographic/llm-wiki-sync-circular-flow/analysis.md new file mode 100644 index 00000000..6bb44713 --- /dev/null +++ b/Hermes/xingzhi/infographic/llm-wiki-sync-circular-flow/analysis.md @@ -0,0 +1,72 @@ +--- +title: "llm-wiki-sync Circular Flow" +topic: technical +data_type: cycle +complexity: moderate +point_count: 7 +source_language: zh +user_language: en +--- + +## Main Topic +A cyclical knowledge management pipeline that transforms raw notes into structured wiki pages through continuous LLM-powered ingestion, extraction, and reuse. + +## Learning Objectives +After viewing this infographic, the viewer will understand: +1. The continuous circular flow of llm-wiki-sync from raw notes to reusable knowledge +2. The key extraction outputs: Summary, Claims, Entities, Concepts, Connections +3. How feedback and reuse complete the cycle back to new raw material + +## Target Audience +- **Knowledge Level**: Intermediate technical audience +- **Context**: Developers and knowledge workers interested in AI-powered knowledge management +- **Expectations**: Clear understanding of the llm-wiki-sync pipeline and its cyclical nature + +## Content Type Analysis +- **Data Structure**: Cyclic process with recurring steps +- **Key Relationships**: Raw → Ingest → Extract → Source Page → Graph/Site → Reuse → Raw (feedback loop) +- **Visual Opportunities**: Circular flow with nodes for each stage, arrows showing direction, center concept + +## Key Data Points (Verbatim) + +### Core Pipeline Steps +1. **Raw Note** - Original document in raw/ folder +2. **Ingest** - LLM analyzes and extracts structured information +3. **Extract** - Summary, Claims, Quotes, Entities, Concepts, Connections +4. **Source Page** - Structured wiki/sources/ page with frontmatter +5. **Graph & Site** - graph.json and Quartz static site generation +6. **Reuse** - Synthesize, query, create new content from structured knowledge +7. **Feedback Loop** - New raw notes created from reused knowledge + +### Extraction Outputs +- **Summary**: 核心主题, 问题域, 方法/机制, 结论/价值 +- **Key Claims**: Verifiable assertions extracted from text +- **Key Entities**: LaunchDarkly, HP, Christian Dior, etc. +- **Key Concepts**: RTO, RPO, Feature Flag, Kill Switch, Gradual Rollout +- **Connections**: depends_on, enables, provides relationships + +### Key Quotes +- "RTO is about speed: how fast you get back online. RPO is about data: how much you can afford to lose." +- "Deploy != Release. Feature flags change this. You can deploy code to production without releasing it to users." + +## Layout × Style Signals +- Content type: cycle → circular-flow +- Tone: technical educational → chalkboard +- Audience: developers → clear, legible, professional +- Complexity: moderate → balanced density with clear visual hierarchy + +## Design Instructions (from user input) +- **Layout**: circular-flow (NOT linear - must emphasize recurring cycle) +- **Style**: chalkboard (dark background, hand-drawn chalk accents) +- **Aspect**: 16:9 landscape +- **Language**: English +- Circular flow showing: raw note -> ingest -> extract -> source page -> graph/static site -> reuse/feedback -> knowledge base +- Include core extraction outputs as recurring nodes/callouts +- Keep text concise and legible +- Dark chalkboard background with hand-drawn chalk accents +- Avoid clutter, make cycle visually clear and publication-ready + +## Recommended Combinations +1. **circular-flow + chalkboard** (Recommended): Perfect match for cycle/process content with chalkboard aesthetic +2. **hub-spoke + technical-schematic**: For emphasizing central concepts with technical precision +3. **bento-grid + craft-handmade**: For multiple topic overview with friendly handmade feel \ No newline at end of file diff --git a/Hermes/xingzhi/infographic/llm-wiki-sync-circular-flow/prompts/infographic.md b/Hermes/xingzhi/infographic/llm-wiki-sync-circular-flow/prompts/infographic.md new file mode 100644 index 00000000..8fb2944b --- /dev/null +++ b/Hermes/xingzhi/infographic/llm-wiki-sync-circular-flow/prompts/infographic.md @@ -0,0 +1,158 @@ +Create a professional infographic following these specifications: + +## Image Specifications + +- **Type**: Infographic +- **Layout**: circular-flow (Cyclic process showing continuous or recurring steps) +- **Style**: chalkboard (Black chalkboard background with colorful chalk drawing style) +- **Aspect Ratio**: 16:9 +- **Language**: English + +## Core Principles + +- Follow the layout structure precisely for information architecture +- Apply style aesthetics consistently throughout +- If content involves sensitive or copyrighted figures, create stylistically similar alternatives +- Keep information concise, highlight keywords and core concepts +- Use ample whitespace for visual clarity +- Maintain clear visual hierarchy + +## Text Requirements + +- All text must match the specified style treatment +- Main titles should be prominent and readable +- Key concepts should be visually emphasized +- Labels should be clear and appropriately sized +- Use the specified language for all text content + +## Layout Guidelines + +- Circular arrangement +- Steps around the circle +- Arrows showing direction +- No clear start/end (continuous) +- Center can hold main concept +- Circle or ring shape +- Directional arrows +- Step nodes evenly spaced +- Icons per step +- Optional center element + +## Style Guidelines + +- **Background**: 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. +- **Color Palette**: + - Background: Chalkboard Black (#1A1A1A) + - 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) +- **Visual Elements**: + - Hand-drawn chalk illustrations with sketchy, imperfect lines + - Chalk dust effects around text and key elements + - Doodles: stars, arrows, underlines, circles, checkmarks + - Eraser smudges and chalk residue textures + - Wooden frame border optional + - Stick figures and simple icons + - Connection lines with hand-drawn feel +- **Style Rules**: + - 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 + - DO NOT use perfect geometric shapes + - DO NOT create clean digital-looking lines + +--- + +Generate the infographic based on the content below: + +# llm-wiki-sync: Turning Scattered Notes into a Reusable Knowledge Base + +## Overview +A cyclical pipeline showing how raw notes are continuously transformed through LLM-powered ingestion into structured wiki pages, then feedback into the knowledge base for reuse. + +## The Knowledge Pipeline Cycle (Center Concept) +The llm-wiki-sync pipeline operates as a continuous cycle, not a linear process. +7 stages in the cycle: Raw Note → Ingest → Extract → Source Page → Graph/Site → Reuse → Feedback Loop + +## Circular Flow Diagram with 7 Stages: + +1. **Raw Note** (Stage 1) + - Original documents stored in raw/ folder + - Contains unprocessed information awaiting structure + - Icon: Stack of paper/note icon + +2. **Ingest** (Stage 2) + - LLM analyzes and extracts structured information + - Hermes skill triggers Claude Code for ingestion + - Context check against wiki/index.md prevents duplicates + - Icon: Brain/processing icon + +3. **Extract** (Stage 3) + - Six key elements extracted from each document: + - Summary (核心主题, 问题域, 方法/机制, 结论/价值) + - Key Claims (Verifiable assertions) + - Key Quotes (Preserved citations) + - Key Entities (LaunchDarkly, HP, etc.) + - Key Concepts (RTO, RPO, Feature Flag, etc.) + - Connections (depends_on, enables, provides) + - Icon: Six circles/callouts + +4. **Source Page** (Stage 4) + - Written to wiki/sources/.md + - Contains frontmatter and standard sections + - Links use [[PageName]] format + - Icon: Document/page icon + +5. **Graph & Site** (Stage 5) + - graph.json: Machine-readable graph structure + - graph.html: Interactive visualization + - Quartz: Static site generation + - Icon: Network/graph icon + +6. **Reuse** (Stage 6) + - Query, Synthesize, Write, Connect + - Icon: Multiple arrows pointing outward + +7. **Feedback Loop** (Stage 7) + - New insights become new raw notes + - Cycle continues indefinitely + - Icon: Circular arrow completing the cycle + +## Key Quotes (to include as callouts): +- "RTO is about speed: how fast you get back online. RPO is about data: how much you can afford to lose." +- "Deploy != Release. Feature flags change this. You can deploy code to production without releasing it to users." + +## Design Requirements: +- Circular flow with 7 stages evenly spaced around a circle +- Clockwise arrow direction +- Center contains: "llm-wiki-sync" as main concept +- Each stage is a node with icon + label +- Extraction outputs (6 items) shown as callouts or inner ring +- Dark chalkboard background with hand-drawn chalk accents +- Chalk colors for visual hierarchy +- Imperfect, sketchy lines throughout +- Publication-ready quality +- NO clutter - only essential elements +- Clear hierarchy: title > headlines > labels > descriptions + +## Text Labels (in English): +- Headline: "The Knowledge Pipeline Cycle" +- Subhead: "How llm-wiki-sync transforms scattered notes into a reusable knowledge base" +- Stage labels: "Raw Note", "Ingest", "Extract", "Source Page", "Graph & Site", "Reuse", "Feedback" +- Center: "llm-wiki-sync" +- Extraction labels: "Summary", "Claims", "Quotes", "Entities", "Concepts", "Connections" + +## Key Constraints: +- 16:9 aspect ratio (landscape) +- All text in English +- Chalkboard style (dark background, chalk-like hand-drawn elements) +- Circular flow layout (NOT linear) +- Publication-ready, visually clear +- No clutter or excessive elements \ No newline at end of file diff --git a/Hermes/xingzhi/infographic/llm-wiki-sync-circular-flow/structured-content.md b/Hermes/xingzhi/infographic/llm-wiki-sync-circular-flow/structured-content.md new file mode 100644 index 00000000..8b1ede64 --- /dev/null +++ b/Hermes/xingzhi/infographic/llm-wiki-sync-circular-flow/structured-content.md @@ -0,0 +1,229 @@ +# llm-wiki-sync: Turning Scattered Notes into a Reusable Knowledge Base + +## Overview +A cyclical pipeline showing how raw notes are continuously transformed through LLM-powered ingestion into structured wiki pages, then feedback into the knowledge base for reuse. + +## Learning Objectives +The viewer will understand: +1. The continuous circular flow of llm-wiki-sync from raw notes to reusable knowledge +2. The six key extraction outputs: Summary, Claims, Quotes, Entities, Concepts, Connections +3. How feedback and reuse complete the cycle back to new raw material + +--- + +## Section 1: The Circular Flow (Center Concept) + +**Key Concept**: The llm-wiki-sync pipeline operates as a continuous cycle, not a linear process. + +**Content**: +- 7 stages in the cycle: Raw Note → Ingest → Extract → Source Page → Graph/Site → Reuse → Feedback Loop +- Each stage feeds into the next, with feedback returning to the beginning +- The cycle is continuous and self-reinforcing + +**Visual Element**: +- Type: circular flow diagram +- Subject: 7 stages arranged in a circle with clockwise arrows +- Center label: "llm-wiki-sync Cycle" +- Treatment: chalk style with hand-drawn arrows connecting stages + +**Text Labels**: +- Headline: "The Knowledge Pipeline Cycle" +- Stage labels: "Raw Note", "Ingest", "Extract", "Source Page", "Graph/Site", "Reuse", "Feedback" +- Center: "llm-wiki-sync" + +--- + +## Section 2: Stage 1 — Raw Note (Input) + +**Key Concept**: Raw notes are the starting point of the cycle. + +**Content**: +- Original documents stored in raw/ folder +- Can be any format: markdown, text, research notes +- Contains unprocessed information awaiting structure + +**Visual Element**: +- Type: document/note icon +- Subject: Stack of paper or note icon +- Treatment: Chalk sketch style + +**Text Labels**: +- Label: "Raw Note" +- Description: "Original input" + +--- + +## Section 3: Stage 2 — Ingest (LLM Analysis) + +**Key Concept**: The LLM analyzes raw notes and extracts structured information. + +**Content**: +- Hermes skill triggers Claude Code for ingestion +- LLM reads and analyzes the full document +- Context check against wiki/index.md prevents duplicates + +**Visual Element**: +- Type: brain/processing icon +- Subject: Brain or gears with chalk lines +- Treatment: Hand-drawn chalk illustration + +**Text Labels**: +- Label: "Ingest" +- Description: "LLM Analysis" + +--- + +## Section 4: Stage 3 — Extract (Six Core Outputs) + +**Key Concept**: Six key elements are extracted from each document. + +**Content**: +1. **Summary**: 核心主题, 问题域, 方法/机制, 结论/价值 +2. **Key Claims**: Verifiable assertions extracted from text +3. **Key Quotes**: Preserved citations for reference +4. **Key Entities**: Named people, companies, products (e.g., LaunchDarkly, HP) +5. **Key Concepts**: Abstract terms that can be reused (e.g., RTO, RPO, Feature Flag) +6. **Connections**: Relationships between elements (depends_on, enables, provides) + +**Visual Element**: +- Type: 6 callout nodes around center +- Subject: Six boxes or bubbles representing extraction outputs +- Treatment: Chalk circles with icons inside each + +**Text Labels**: +- Headline: "Extraction Outputs" +- Labels: "Summary", "Claims", "Quotes", "Entities", "Concepts", "Connections" + +--- + +## Section 5: Stage 4 — Source Page (Structured Output) + +**Key Concept**: Extracted information is written as a structured wiki source page. + +**Content**: +- Written to wiki/sources/.md +- Contains frontmatter (id, title, type, tags, sources, last_updated) +- Standard sections: Summary, Key Claims, Key Quotes, Key Concepts, Key Entities, Connections, Contradictions +- Links use [[PageName]] format for interconnections + +**Visual Element**: +- Type: document/page icon +- Subject: Page with visible structure headers +- Treatment: Chalk sketch with text lines + +**Text Labels**: +- Label: "Source Page" +- Description: "wiki/sources/*.md" + +--- + +## Section 6: Stage 5 — Graph & Static Site + +**Key Concept**: Structured pages generate knowledge graphs and static websites. + +**Content**: +- graph.json: Machine-readable graph structure +- graph.html: Interactive visualization +- Quartz: Static site generation for sharing/export +- Connections become edges in the knowledge graph + +**Visual Element**: +- Type: network/graph icon +- Subject: Connected nodes representing knowledge graph +- Treatment: Chalk diagram with nodes and edges + +**Text Labels**: +- Label: "Graph & Site" +- Description: "graph.json + Quartz" + +--- + +## Section 7: Stage 6 — Reuse (Knowledge Application) + +**Key Concept**: Structured knowledge enables multiple reuse scenarios. + +**Content**: +- Query: Ask questions against the knowledge base +- Synthesize: Create new content from existing knowledge +- Write: Generate articles, reports from source material +- Connect: Link ideas across different source pages + +**Visual Element**: +- Type: multiple arrows pointing outward +- Subject: Reuse scenarios as icons (question, document, pen) +- Treatment: Chalk illustration + +**Text Labels**: +- Label: "Reuse" +- Sub-labels: "Query", "Synthesize", "Write", "Connect" + +--- + +## Section 8: Stage 7 — Feedback Loop (Continuous Cycle) + +**Key Concept**: Reuse generates new raw notes, completing the cycle. + +**Content**: +- New insights from synthesis become new raw notes +- Updated knowledge feeds back to raw/ folder +- Cycle continues indefinitely +- Each iteration strengthens the knowledge base + +**Visual Element**: +- Type: circular arrow +- Subject: Feedback loop arrow returning to Raw Note stage +- Treatment: Large chalk arrow completing the circle + +**Text Labels**: +- Label: "Feedback Loop" +- Description: "New notes → Cycle repeats" + +--- + +## Data Points (Verbatim) + +### Key Quotes +- "RTO is about speed: how fast you get back online. RPO is about data: how much you can afford to lose." +- "Deploy != Release. Feature flags change this. You can deploy code to production without releasing it to users." + +### Key Entities +- LaunchDarkly (Feature Flag management platform) +- HP (example enterprise) +- Christian Dior (example case) + +### Key Concepts +- RTO (Recovery Time Objective) +- RPO (Recovery Point Objective) +- Feature Flag (特性开关) +- Kill Switch (紧急关闭机制) +- 渐进式发布 (Gradual Rollout) + +--- + +## Design Instructions + +### Layout Preferences +- Circular flow with 7 stages evenly spaced around a circle +- Clockwise arrow direction +- Center contains the main concept "llm-wiki-sync" +- Each stage is a node with icon + label +- Extraction outputs (6 items) shown as callouts or inner ring + +### Style Preferences +- Chalkboard: Dark background (#1A1A1A) +- Hand-drawn chalk style for all elements +- Chalk colors: white, yellow, pink, blue, green, orange +- Imperfect, sketchy lines throughout +- Chalk dust effects for authenticity + +### Text Requirements +- All text in English +- Legible font sizes (minimum 14pt for labels) +- Clear hierarchy: title > headlines > labels > descriptions +- Ample whitespace between stages + +### Visual Clarity +- Avoid clutter - only essential elements +- Each stage should be clearly distinguishable +- Arrows should clearly indicate flow direction +- Publication-ready quality \ No newline at end of file diff --git a/Hermes/xingzhi/llm-wiki-sync-circular-flow-infographic.png b/Hermes/xingzhi/llm-wiki-sync-circular-flow-infographic.png new file mode 100644 index 0000000000000000000000000000000000000000..312d9587782c8d64249281b7cc9bf3511da11d6e GIT binary patch literal 2929020 zcmdSAcT`hbw>G{*0s%x&uz*sc1W{^24;_^z0!o!$LWfX7@685Aq$nta00JT)pwg?L zw15QZ(vc$4dk6W2b3Erg=iYO_?;ZCW?;pQC*n_?Ho@=c+_nOao=A3K}zaEYOCvGUI zDghw!!3W|4fWx`7kvDDuAOJWz&xSa7Vl2tm?Bw58Xdzb%;3RM&1ORdXi6l4hZ#T$N zhQFkgf0x4iUCI;dEO{g;iMAFJu@DotrqFLqq#?rbpQmK{>y)gBb4ODiV`BO> zrM9oThcyN!hCm1lA+I2~e^ZDF_Uq~Iy4=FLkTr3)ceedgErbDri3<9gwG^OVW`jXc z@Kpfv79CkbT557WLkFzIevXXmxr9H?vew~0_~`CIH0HjbLD+KaOMyDKY-A@hcU<22 zY+Aj(@zGP|oi?#j$`P$VdKkzM5eCvj(35pxV*r5;ArLSHRV{+!sLcgoMx3Fd=A{Br zQbNHHDq8Xt1QhOg@25Nt;+ddL~bsc4rksDKN}t4b3Oo}CCfQ(zN4 zx%m5NoJXUDoEq@|R$aswd2j4QuVZ4ujAZ#d*K-^_b{q_6O=RX;Hy!goIjU{)fd3&p}=aQgUna4HlB)Qk4PD(eftD2mG z;q-fTO0v?v96H&aM->w5)jld;y%||VVL&lPM$ZuWME^pN!fxgTWv>f&27;6L4j&(! 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z>^Sr3WeaGvwyR5Z*KYf*^}FDqzVK=hnKeWp@EqKz&pk+1{Rd)s1lI}i13~bnzhZR_ z66x*ryLgG&I!v>HD~jPDsbyB%X1AIOKf=H3=z2RJwX<+Ip=TYW8C-Ye@#u5@JsQdG>A_*mn+Rl_J>>>>>> Stashed changes:Hermes/xingzhi/llm-wiki-sync_公众号稿.md diff --git a/wiki/concepts/360度反馈.md b/wiki/concepts/360度反馈.md new file mode 100644 index 00000000..cf00ae01 --- /dev/null +++ b/wiki/concepts/360度反馈.md @@ -0,0 +1,19 @@ +--- +title: "360 度反馈" +type: concept +tags: [feedback, leadership-assessment] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +从上级、同事、下级、客户等多个维度收集反馈，生成个人领导力档案和发展建议。 + +## Feedback Dimensions +上级评价、同级评价、下级评价、客户评价（如适用） + +## Privacy Rules +结果仅与本人及其直接上级分享，不作为惩罚依据。 + +## Related Concepts +- [[HIPO 计划]]：人才识别与发展 diff --git a/wiki/concepts/ADDIE.md b/wiki/concepts/ADDIE.md new file mode 100644 index 00000000..609dd00d --- /dev/null +++ b/wiki/concepts/ADDIE.md @@ -0,0 +1,22 @@ +--- +title: "ADDIE 模型" +type: concept +tags: [instructional-design, training-methodology] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +系统化课程设计流程，五个阶段依次为：Analysis（分析）→ Design（设计）→ Development（开发）→ Implementation（实施）→ Evaluation（评估），每个阶段有明确交付物。 + +## Core Phases +- **Analysis**：组织诊断、需求研究、能力差距分析 +- **Design**：学习目标定义、课程大纲设计、评估策略制定 +- **Development**：课程内容开发、教材制作、试讲迭代 +- **Implementation**：培训交付、学习平台配置、讲师与学员准备 +- **Evaluation**：效果评估、数据收集、持续优化 + +## Related Concepts +- [[SAM 模型]]：快速迭代版本 +- [[Bloom's Taxonomy]]：学习目标设计工具 +- [[Kirkpatrick 四级评估模型]]：评估框架 diff --git a/wiki/concepts/AcademicDetailingCompliance.md b/wiki/concepts/AcademicDetailingCompliance.md new file mode 100644 index 00000000..a8399d17 --- /dev/null +++ b/wiki/concepts/AcademicDetailingCompliance.md @@ -0,0 +1,19 @@ +--- +title: "Academic Detailing Compliance" +type: concept +tags: [academic-detailing, compliance, pharma, china] +last_updated: 2026-04-20 +--- + +## Definition +Academic Detailing Compliance covers compliant medical education, conference sponsorship, speaker arrangements, and medical representative conduct. + +## Core Principles +- Keep academic content independent from commercial influence +- Document sponsorships, speaker fees, and travel support transparently +- Medical representatives may discuss safety and efficacy, but not act as sales quota carriers +- Avoid gifts, benefits, or arrangements that look like disguised bribery + +## Related Concepts +- [[HealthcareMarketingCompliance]] +- [[MedicalAdvertisingCompliance]] diff --git a/wiki/concepts/Bloom's-Taxonomy.md b/wiki/concepts/Bloom's-Taxonomy.md new file mode 100644 index 00000000..ba0a483a --- /dev/null +++ b/wiki/concepts/Bloom's-Taxonomy.md @@ -0,0 +1,22 @@ +--- +title: "Bloom's Taxonomy" +type: concept +tags: [instructional-design, learning-objectives] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +对学习目标进行分类的认知层级框架，由 Benjamin Bloom 提出，用于指导学习目标设计和评估标准制定。 + +## Six Cognitive Levels +1. **Remember（记忆）**：识记事实、定义、概念 +2. **Understand（理解）**：解释含义、总结内容 +3. **Apply（应用）**：将知识用于新情境 +4. **Analyze（分析）**：分解结构、识别关系 +5. **Evaluate（评估）**：判断价值、做决策 +6. **Create（创造）**：生成新知识或产品 + +## Related Concepts +- [[ADDIE 模型]]：课程设计框架 +- [[Kirkpatrick 四级评估模型]]：效果评估 diff --git a/wiki/concepts/Contextual-Semiotics.md b/wiki/concepts/Contextual-Semiotics.md new file mode 100644 index 00000000..8dd46658 --- /dev/null +++ b/wiki/concepts/Contextual-Semiotics.md @@ -0,0 +1,20 @@ +--- +title: "Contextual Semiotics" +type: concept +tags: [design, localization, communication] +date: 2026-04-20 +--- + +## Definition +Contextual semiotics is the practice of interpreting and choosing colors, icons, metaphors, and imagery according to the culture and domain in which they will be seen. + +## Key Considerations +- Color symbolism varies by region and industry +- Icons can imply different actions or values across cultures +- Metaphors may not survive translation literally +- Visual references should be checked against local meaning + +## Connections +- [[Cultural Intelligence Strategist]] — applies contextual semiotics in audits +- [[Cultural Intelligence]] — broader framework for context-aware design +- [[Inclusive Visuals Specialist]] — visual generation depends on correct semiotics diff --git a/wiki/concepts/Cultural-Humility.md b/wiki/concepts/Cultural-Humility.md new file mode 100644 index 00000000..34bfc593 --- /dev/null +++ b/wiki/concepts/Cultural-Humility.md @@ -0,0 +1,19 @@ +--- +title: "Cultural Humility" +type: concept +tags: [design, research, ethics] +date: 2026-04-20 +--- + +## Definition +Cultural humility is the practice of assuming your current knowledge is incomplete and researching the relevant audience before making design or content decisions. + +## Key Practices +- Ask who the design might exclude +- Research the target culture before generating output +- Prefer evidence over assumptions +- Revise based on feedback from the affected audience + +## Connections +- [[Cultural Intelligence Strategist]] — operationalizes cultural humility in audits +- [[Cultural Intelligence]] — humility is a prerequisite for it diff --git a/wiki/concepts/Cultural-Intelligence.md b/wiki/concepts/Cultural-Intelligence.md new file mode 100644 index 00000000..7458c494 --- /dev/null +++ b/wiki/concepts/Cultural-Intelligence.md @@ -0,0 +1,21 @@ +--- +title: "Cultural Intelligence" +type: concept +tags: [design, localization, accessibility, ai] +date: 2026-04-20 +--- + +## Definition +Cultural intelligence is the capability to design products, prompts, and workflows that work respectfully and effectively across cultures by accounting for language, naming, symbols, calendars, norms, and representation. + +## Key Aspects +- Global-first assumptions instead of Western-only defaults +- Cultural context research before output generation +- Structural inclusion rather than tokenistic representation +- Accessibility and localization as part of the core design + +## Connections +- [[Cultural Intelligence Strategist]] — agent persona that operationalizes this concept +- [[Prompt Engineering]] — prompt design must respect cultural context +- [[Design System]] — global UI patterns need culturally flexible components +- [[Inclusive Visuals Specialist]] — visual generation requires cultural accuracy diff --git a/wiki/concepts/Gamification.md b/wiki/concepts/Gamification.md new file mode 100644 index 00000000..13abf3df --- /dev/null +++ b/wiki/concepts/Gamification.md @@ -0,0 +1,22 @@ +--- +title: "Gamification" +type: concept +tags: [engagement, learning-design] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +将游戏化元素（非游戏情境中的游戏设计技术和理念）应用于学习设计，提升学习者参与度和完成率。 + +## Core Elements +- **积分（Points）**：学习行为奖励 +- **徽章（Badges）**：成就认可 +- **排行榜（Leaderboards）**：同伴竞争 +- **升级机制（Level-ups）**：成长路径可视化 + +## Application +在线学习平台、合规培训（降低抵触感）、技能认证项目、团队学习挑战 + +## Related Concepts +- [[混合学习]]：学习模式 diff --git a/wiki/concepts/Global-First-Architecture.md b/wiki/concepts/Global-First-Architecture.md new file mode 100644 index 00000000..bdc8a8da --- /dev/null +++ b/wiki/concepts/Global-First-Architecture.md @@ -0,0 +1,20 @@ +--- +title: "Global-First Architecture" +type: concept +tags: [design, localization, internationalization] +date: 2026-04-20 +--- + +## Definition +Global-first architecture treats internationalization, localization, and cultural flexibility as prerequisites in the system design rather than late-stage additions. + +## Key Principles +- Support diverse naming conventions and scripts +- Make calendars, formats, and defaults locale-aware +- Avoid hard-coded culture-specific metaphors and symbols +- Build accessibility and translation into the core structure + +## Connections +- [[Cultural Intelligence Strategist]] — encourages this architecture +- [[Cultural Intelligence]] — the broader capability this architecture serves +- [[Design System]] — global-first components reduce exclusion diff --git a/wiki/concepts/HIPO.md b/wiki/concepts/HIPO.md new file mode 100644 index 00000000..6e802d4c --- /dev/null +++ b/wiki/concepts/HIPO.md @@ -0,0 +1,25 @@ +--- +title: "HIPO 计划" +type: concept +tags: [talent-development, leadership] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +High-Potential Talent Program，高潜力人才发展计划。 + +## Identification Criteria +绩效 × 潜力矩阵： +- 高绩效 × 高潜力 = 核心人才，重点培养 +- 高绩效 × 低潜力 = 业务骨干 +- 低绩效 × 高潜力 = 待观察，需要指导 + +## Development Components +- IDP（个人发展计划） +- 岗位轮换 +- 导师辅导 +- 挑战性任务 + +## Related Concepts +- [[行动学习]]：发展领导力的方法 diff --git a/wiki/concepts/HealthSupplementMarketing.md b/wiki/concepts/HealthSupplementMarketing.md new file mode 100644 index 00000000..d8a1426a --- /dev/null +++ b/wiki/concepts/HealthSupplementMarketing.md @@ -0,0 +1,20 @@ +--- +title: "Health Supplement Marketing" +type: concept +tags: [health-supplement, marketing, compliance, china] +last_updated: 2026-04-20 +--- + +## Definition +Health Supplement Marketing is the promotion of baojian shipin within registered/filed functional claims and without crossing into disease-treatment language. + +## Core Principles +- Health supplements are not drugs +- Do not claim cure, treatment, or replacement of medication +- Stay within approved function claims and standard wording +- Display required marks and disclaimers when applicable + +## Related Concepts +- [[HealthcareMarketingCompliance]] +- [[MedicalAdvertisingCompliance]] +- [[PatientPrivacyProtection]] diff --git a/wiki/concepts/HealthcareMarketingCompliance.md b/wiki/concepts/HealthcareMarketingCompliance.md new file mode 100644 index 00000000..0b6f9931 --- /dev/null +++ b/wiki/concepts/HealthcareMarketingCompliance.md @@ -0,0 +1,27 @@ +--- +title: "Healthcare Marketing Compliance" +type: concept +tags: [healthcare, compliance, marketing, china] +last_updated: 2026-04-20 +--- + +## Definition +Healthcare Marketing Compliance is the umbrella discipline of making healthcare promotion, content, and commercialization lawful, evidence-based, and platform-safe. + +## Core Principles +- Prior review beats post-publication cleanup +- Approved scope matters more than creative wording +- Consent and de-identification are required for patient data reuse +- Platform rules can be stricter than the statute itself + +## Related Entities +- [[Healthcare Marketing Compliance Specialist]] +- [[The Agency]] + +## Related Concepts +- [[MedicalAdvertisingCompliance]] +- [[HealthSupplementMarketing]] +- [[InternetHealthcareCompliance]] +- [[MedicalAestheticsCompliance]] +- [[PatientPrivacyProtection]] +- [[AcademicDetailingCompliance]] diff --git a/wiki/concepts/InternetHealthcareCompliance.md b/wiki/concepts/InternetHealthcareCompliance.md new file mode 100644 index 00000000..57e8af7e --- /dev/null +++ b/wiki/concepts/InternetHealthcareCompliance.md @@ -0,0 +1,19 @@ +--- +title: "Internet Healthcare Compliance" +type: concept +tags: [internet-healthcare, telemedicine, compliance, china] +last_updated: 2026-04-20 +--- + +## Definition +Internet Healthcare Compliance covers online diagnosis, treatment, consultation, prescription circulation, and platform operations under Chinese healthcare regulation. + +## Core Principles +- First visits should not be handled as internet diagnosis/treatment +- Physicians must practice within their registered institutional scope +- Pharmacist review is required before electronic dispensing +- Health consultation must not be disguised diagnosis + +## Related Concepts +- [[HealthcareMarketingCompliance]] +- [[PatientPrivacyProtection]] diff --git a/wiki/concepts/Invisible-Exclusion.md b/wiki/concepts/Invisible-Exclusion.md new file mode 100644 index 00000000..7d850925 --- /dev/null +++ b/wiki/concepts/Invisible-Exclusion.md @@ -0,0 +1,20 @@ +--- +title: "Invisible Exclusion" +type: concept +tags: [design, accessibility, localization] +date: 2026-04-20 +--- + +## Definition +Invisible exclusion is hidden friction created when systems assume a narrow user model, such as Western naming patterns, single-calendar usage, or culture-specific symbols. + +## Examples +- First-name / last-name forms that fail for other naming conventions +- Color choices whose meaning changes across regions +- Icons or metaphors that do not translate culturally +- AI outputs that tokenize identity instead of representing it accurately + +## Connections +- [[Cultural Intelligence Strategist]] — detects and removes invisible exclusion +- [[Cultural Intelligence]] — broader discipline for inclusive design +- [[Global-First Architecture]] — one way to prevent exclusion at the system level diff --git a/wiki/concepts/Kirkpatrick.md b/wiki/concepts/Kirkpatrick.md new file mode 100644 index 00000000..8121aa2c --- /dev/null +++ b/wiki/concepts/Kirkpatrick.md @@ -0,0 +1,23 @@ +--- +title: "Kirkpatrick 四级评估模型" +type: concept +tags: [training-evaluation, instructional-design] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +培训效果评估的四级框架，由 Donald Kirkpatrick 提出，是企业培训领域最权威的评估模型。 + +## Four Levels +- **Level 1 (Reaction)**：反应评估——培训满意度调查 +- **Level 2 (Learning)**：学习评估——知识考试、技能实操评估 +- **Level 3 (Behavior)**：行为评估——培训后 30/60/90 天行为改变追踪 +- **Level 4 (Results)**：结果评估——业务指标变化 + +## Application Rules +- 所有培训项目至少达到 Level 2 +- 高投入项目必须追踪到 Level 3 + +## Related Concepts +- [[ADDIE 模型]]：课程设计框架 diff --git a/wiki/concepts/Kolb-体验式学习.md b/wiki/concepts/Kolb-体验式学习.md new file mode 100644 index 00000000..9b525d58 --- /dev/null +++ b/wiki/concepts/Kolb-体验式学习.md @@ -0,0 +1,19 @@ +--- +title: "Kolb 体验式学习" +type: concept +tags: [learning-theory, experiential-learning] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +David Kolb 提出的体验式学习循环模型，强调学习是通过体验转化实现知识建构的过程。 + +## Four Stages +1. **Concrete Experience（具体经验）** +2. **Reflective Observation（反思观察）** +3. **Abstract Conceptualization（抽象概念化）** +4. **Active Experimentation（主动实验）** + +## Related Concepts +- [[混合学习]]：实践形式 diff --git a/wiki/concepts/MedicalAdvertisingCompliance.md b/wiki/concepts/MedicalAdvertisingCompliance.md new file mode 100644 index 00000000..392374df --- /dev/null +++ b/wiki/concepts/MedicalAdvertisingCompliance.md @@ -0,0 +1,20 @@ +--- +title: "Medical Advertising Compliance" +type: concept +tags: [advertising, medical, compliance, china] +last_updated: 2026-04-20 +--- + +## Definition +Medical Advertising Compliance covers the approval, content, and publication rules governing ads for drugs, devices, and medical services in China. + +## Core Principles +- Publish only after required review/approval +- Avoid absolute claims, guarantees, endorsements, and efficacy comparisons +- Keep copy within approved indications, scope, and certificate details +- Use internal legal/compliance review before release + +## Related Concepts +- [[HealthcareMarketingCompliance]] +- [[MedicalAestheticsCompliance]] +- [[HealthSupplementMarketing]] diff --git a/wiki/concepts/MedicalAestheticsCompliance.md b/wiki/concepts/MedicalAestheticsCompliance.md new file mode 100644 index 00000000..5bbb5f2c --- /dev/null +++ b/wiki/concepts/MedicalAestheticsCompliance.md @@ -0,0 +1,19 @@ +--- +title: "Medical Aesthetics Compliance" +type: concept +tags: [medical-aesthetics, compliance, china] +last_updated: 2026-04-20 +--- + +## Definition +Medical Aesthetics Compliance is the subdomain of healthcare compliance governing yimei advertising, qualification display, and prohibited persuasion techniques. + +## Core Principles +- Do not create appearance anxiety as a marketing lever +- Before-and-after comparisons are high-risk or prohibited +- Separate lifestyle beauty from medical aesthetics correctly +- Verify institution, physician, and product qualifications before publication + +## Related Concepts +- [[HealthcareMarketingCompliance]] +- [[MedicalAdvertisingCompliance]] diff --git a/wiki/concepts/PatientPrivacyProtection.md b/wiki/concepts/PatientPrivacyProtection.md new file mode 100644 index 00000000..e80ebd8b --- /dev/null +++ b/wiki/concepts/PatientPrivacyProtection.md @@ -0,0 +1,20 @@ +--- +title: "Patient Privacy Protection" +type: concept +tags: [privacy, pipl, healthcare, compliance, china] +last_updated: 2026-04-20 +--- + +## Definition +Patient Privacy Protection is the governance of sensitive medical and health information across collection, processing, storage, sharing, and marketing reuse. + +## Core Principles +- Treat medical and health information as sensitive personal information +- Use separate consent and minimum-necessary collection +- De-identify patient cases before publication +- Never repurpose EMR or prescription data for marketing without authorization + +## Related Concepts +- [[HealthcareMarketingCompliance]] +- [[Identity Governance]] +- [[InternetHealthcareCompliance]] diff --git a/wiki/concepts/SAM.md b/wiki/concepts/SAM.md new file mode 100644 index 00000000..d260a88b --- /dev/null +++ b/wiki/concepts/SAM.md @@ -0,0 +1,20 @@ +--- +title: "SAM 模型" +type: concept +tags: [instructional-design, rapid-iteration] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +Successive Approximation Model（持续逼近模型），一种快速迭代的课程设计方法，适用于需要缩短上线时间的场景。 + +## Process +原型→评审→修订循环，直到达到目标质量。 + +## Use Cases +- 时间紧迫的培训项目 +- 需要快速验证的试运行课程 + +## Related Concepts +- [[ADDIE 模型]]：完整系统化版本 diff --git a/wiki/concepts/Second-Brain.md b/wiki/concepts/Second-Brain.md index 4235e4dc..43a23c15 100644 --- a/wiki/concepts/Second-Brain.md +++ b/wiki/concepts/Second-Brain.md @@ -21,6 +21,7 @@ tags: [] ## Related Concepts - [[Memory System]] - [[信息黑洞]] +- [[LLM Wiki]] ## Related Sources - [[second-brain]] \ No newline at end of file diff --git a/wiki/concepts/TTT.md b/wiki/concepts/TTT.md new file mode 100644 index 00000000..6178460f --- /dev/null +++ b/wiki/concepts/TTT.md @@ -0,0 +1,23 @@ +--- +title: "TTT" +type: concept +tags: [train-the-trainer, internal-trainer] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +Train the Trainer，内部培训师培养体系，将企业内部员工培养为合格讲师。 + +## Core Modules +- 成人学习原理 +- 课程开发技巧 +- 表达呈现技能 +- 课堂管理与互动 +- PPT 设计标准 + +## Trainer Development Path +试讲评审 → 基础认证 → 高级认证 → 金牌讲师 + +## Related Concepts +- [[ADDIE 模型]]：课程设计框架 diff --git a/wiki/concepts/Workflow-Architecture.md b/wiki/concepts/Workflow-Architecture.md new file mode 100644 index 00000000..427157da --- /dev/null +++ b/wiki/concepts/Workflow-Architecture.md @@ -0,0 +1,36 @@ +--- +title: "Workflow Architecture" +type: concept +tags: [workflow-design, systems-design, process-engineering] +sources: [specialized-workflow-architect] +last_updated: 2026-04-20 +--- + +## Definition +Workflow Architecture 是一种把系统行为建模为工作流树的方法：先发现入口，再定义每一步的成功条件、失败分支、恢复动作、可观察状态和清理责任。 + +## Core Principles +- 先发现，再设计 +- 先 happy path，再分支 +- 每个步骤都必须有 timeout +- 每个失败都必须有 recovery path +- 每个资源都必须进入 cleanup inventory +- 每个交接都必须有明确 contract +- 每个 spec 都必须接受现实验证 + +## Key Building Blocks +- Workflow Registry：系统中所有工作流的权威清单 +- Handoff Contract：系统边界的 payload / response / timeout / recovery 定义 +- Observable States：客户、操作员、数据库、日志的状态定义 +- ABORT_CLEANUP：失败后的逆向销毁流程 +- Reality Checker：将 spec 与实际实现对齐的验证步骤 + +## Related Entities +- [[Workflow Architect]] +- [[The Agency]] + +## Related Concepts +- [[Claude Skills]] +- [[Process Optimization]] +- [[AI-powered Runbooks]] +- [[Document Generation]] diff --git a/wiki/concepts/source-grounding.md b/wiki/concepts/source-grounding.md index 69032110..926e1575 100644 --- a/wiki/concepts/source-grounding.md +++ b/wiki/concepts/source-grounding.md @@ -39,6 +39,7 @@ NotebookLM 的核心机制——仅使用用户上传的文档作为知识库， ## Related Concepts - [[Source Citation]] - [[RAG]] +- [[LLM Wiki]] ## Aliases - Grounding diff --git a/wiki/concepts/建构主义学习理论.md b/wiki/concepts/建构主义学习理论.md new file mode 100644 index 00000000..b706f057 --- /dev/null +++ b/wiki/concepts/建构主义学习理论.md @@ -0,0 +1,22 @@ +--- +title: "建构主义学习理论" +type: concept +tags: [learning-theory, instructional-design] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +强调学习者通过主动参与、情境学习和协作建构知识，而非被动接收信息的学习理论。 + +## Core Principles +- 学习者主动建构知识 +- 学习与情境密切相关 +- 协作学习促进深度理解 +- 反思是知识内化的关键 + +## Instructional Design Implications +使用真实业务案例、设计情境模拟和角色扮演、鼓励小组协作和讨论、留出反思和复盘时间 + +## Related Concepts +- [[Kolb 体验式学习]]：体验循环 diff --git a/wiki/concepts/新员工培训-90天计划.md b/wiki/concepts/新员工培训-90天计划.md new file mode 100644 index 00000000..35bb0faa --- /dev/null +++ b/wiki/concepts/新员工培训-90天计划.md @@ -0,0 +1,24 @@ +--- +title: "新员工培训 90 天计划" +type: concept +tags: [onboarding, employee-training] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +新员工入职后 90 天的系统性培养计划，分阶段设定目标和评估标准。 + +## Four Phases +- **第 1 周（适应期）**：融入团队、熟悉环境、了解文化 +- **第 1 月（学习期）**：学习岗位知识、掌握基础技能 +- **第 2 月（实践期）**：独立承担工作任务、积累实战经验 +- **第 3 月（输出期）**：独立完成任务、产出工作成果 + +## Components +- 导师制（业务导师 + 文化导师） +- 新员工学习地图（必修课 + 选修课 + 实战任务） +- 试用期综合评估（导师反馈 + 培训考试成绩 + 工作产出 + 文化适应） + +## Related Concepts +- [[ADDIE 模型]]：培训设计框架 diff --git a/wiki/concepts/混合学习.md b/wiki/concepts/混合学习.md new file mode 100644 index 00000000..5b8c1f80 --- /dev/null +++ b/wiki/concepts/混合学习.md @@ -0,0 +1,19 @@ +--- +title: "混合学习" +type: concept +tags: [learning-model, instructional-design] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +Online-Merge-Offline（OMO）混合学习模式，将线上学习与线下学习有机融合。 + +## Core Principle +- **线上（Online）用于"知"**：知识传递、信息获取 +- **线下（Offline）用于"做"**：实操练习、案例讨论 +- **学习社群用于"持续"**：知识巩固、社群交流 + +## Related Concepts +- [[翻转课堂]]：混合学习的一种形式 +- [[Kolb 体验式学习]]：体验循环 diff --git a/wiki/concepts/翻转课堂.md b/wiki/concepts/翻转课堂.md new file mode 100644 index 00000000..c71c26d0 --- /dev/null +++ b/wiki/concepts/翻转课堂.md @@ -0,0 +1,18 @@ +--- +title: "翻转课堂" +type: concept +tags: [instructional-design, blended-learning] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +将传统课堂顺序翻转，课前通过线上方式进行知识预习，课堂时间用于讨论和实操练习，课后进行行动转化。 + +## Three Phases +- **课前**：在线视频/微课程学习知识点 +- **课中**：案例讨论、实操练习、答疑解惑 +- **课后**：行动计划制定、行动转化追踪 + +## Related Concepts +- [[混合学习]]：更广泛的课内外结合模式 diff --git a/wiki/concepts/行动学习.md b/wiki/concepts/行动学习.md new file mode 100644 index 00000000..e6bb7e50 --- /dev/null +++ b/wiki/concepts/行动学习.md @@ -0,0 +1,21 @@ +--- +title: "行动学习" +type: concept +tags: [leadership-development, experiential-learning] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +围绕真实业务挑战组建学习小组，通过解决实际问题发展领导力。 + +## Core Process +识别真实业务问题 → 组建学习小组 → 分析问题根因 → 制定解决方案 → 实施并跟踪结果 → 复盘总结 + +## Benefits +- 学以致用，解决真实业务问题 +- 团队协作能力提升 +- 领导力实践锻炼 + +## Related Concepts +- [[Kolb 体验式学习]]：理论基础 diff --git a/wiki/entities/Cultural-Intelligence-Strategist.md b/wiki/entities/Cultural-Intelligence-Strategist.md new file mode 100644 index 00000000..c1578043 --- /dev/null +++ b/wiki/entities/Cultural-Intelligence-Strategist.md @@ -0,0 +1,37 @@ +--- +title: "Cultural Intelligence Strategist" +type: entity +tags: [agent, the-agency, design, localization, accessibility] +sources: [specialized-cultural-intelligence-strategist] +last_updated: 2026-04-20 +--- + +## Aliases +- Cultural Intelligence Strategist Agent +- CQ Strategist + +## Role +The Agency agent persona for auditing products, prompts, and workflows for invisible exclusion, cultural blind spots, and localization assumptions. + +## Description +A structurally minded agent that treats inclusion as an architectural requirement rather than a cosmetic polish. It checks naming conventions, calendar assumptions, color semiotics, iconography, metaphors, and content localization before release. + +## Key Capabilities +- Detect invisible exclusion in forms, copy, and workflows +- Research culture-specific constraints before generating content +- Evaluate prompts and image outputs for bias and tokenism +- Recommend global-first alternatives for names, dates, symbols, and accessibility + +## Related Concepts +- [[Cultural Intelligence]] +- [[Invisible Exclusion]] +- [[Global-First Architecture]] +- [[Contextual Semiotics]] +- [[Cultural Humility]] +- [[Prompt Engineering]] +- [[Design System]] + +## Related Entities +- [[The Agency]] +- [[Image Prompt Engineer]] +- [[Inclusive Visuals Specialist]] diff --git a/wiki/entities/DingTalk-Learning.md b/wiki/entities/DingTalk-Learning.md new file mode 100644 index 00000000..90aa6c2c --- /dev/null +++ b/wiki/entities/DingTalk-Learning.md @@ -0,0 +1,19 @@ +--- +title: "DingTalk Learning" +type: entity +tags: [enterprise-learning-platform, alibaba-ecosystem] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +钉钉学习（DingTalk Xuetang），阿里巴巴钉钉生态的企业学习平台。 + +## Characteristics +- 深度集成钉钉 OA 系统 +- 支持直播培训、在线考试、学习任务推送 +- 适合阿里生态企业 +- 移动端体验优秀 + +## Related Concepts +- [[Corporate Training Designer]]：使用该平台交付培训 diff --git a/wiki/entities/Feishu-Knowledge-Base.md b/wiki/entities/Feishu-Knowledge-Base.md new file mode 100644 index 00000000..d22c07c3 --- /dev/null +++ b/wiki/entities/Feishu-Knowledge-Base.md @@ -0,0 +1,19 @@ +--- +title: "Feishu Knowledge Base" +type: entity +tags: [enterprise-learning-platform, bytedance-ecosystem] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +飞书知识库，字节跳动生态的知识管理导向组织首选平台。 + +## Characteristics +- 文档协作能力优秀 +- 适合知识管理导向组织 +- 与飞书套件深度集成 +- 适合将组织知识进行结构化沉淀 + +## Related Concepts +- [[Corporate Training Designer]]：使用该平台交付培训 diff --git a/wiki/entities/Healthcare-Marketing-Compliance-Specialist.md b/wiki/entities/Healthcare-Marketing-Compliance-Specialist.md new file mode 100644 index 00000000..070a69f1 --- /dev/null +++ b/wiki/entities/Healthcare-Marketing-Compliance-Specialist.md @@ -0,0 +1,34 @@ +--- +title: "Healthcare Marketing Compliance Specialist" +type: entity +tags: [agent, the-agency, healthcare, compliance, china] +sources: [healthcare-marketing-compliance] +last_updated: 2026-04-20 +--- + +Healthcare Marketing Compliance Specialist is a The Agency agent persona focused on keeping healthcare promotion within the boundaries of Chinese regulation while preserving marketing effectiveness. + +## Core Identity +- **Role**: Full-lifecycle healthcare marketing compliance expert +- **Personality**: Precise, risk-aware, pragmatic, and fluent in regulatory translation +- **Memory**: Remembers key clauses, enforcement patterns, platform rules, and compliance red lines + +## Key Capabilities +- Review healthcare advertising, branded content, and promotional scripts before publication +- Identify violations in medical, pharmaceutical, device, medical aesthetics, and supplement marketing +- Interpret platform policies for Douyin, Xiaohongshu, WeChat, and internet healthcare platforms +- Assess privacy and consent risks in patient data use and CRM workflows +- Guide compliant academic detailing, conference sponsorship, and medical representative conduct + +## Related Concepts +- [[HealthcareMarketingCompliance]] +- [[MedicalAdvertisingCompliance]] +- [[HealthSupplementMarketing]] +- [[InternetHealthcareCompliance]] +- [[MedicalAestheticsCompliance]] +- [[PatientPrivacyProtection]] +- [[AcademicDetailingCompliance]] +- [[Identity Governance]] + +## Related Entities +- [[The Agency]] diff --git a/wiki/entities/KoolSchool.md b/wiki/entities/KoolSchool.md new file mode 100644 index 00000000..38ad7ca5 --- /dev/null +++ b/wiki/entities/KoolSchool.md @@ -0,0 +1,19 @@ +--- +title: "KoolSchool" +type: entity +tags: [enterprise-learning-platform, sme] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +酷学院，轻量级企业培训 SaaS 平台。 + +## Characteristics +- 快速部署 +- 适合中小企业 +- 适合连锁零售行业 +- 轻量级解决方案 + +## Related Concepts +- [[Corporate Training Designer]]：使用该平台交付培训 diff --git a/wiki/entities/The-Agency.md b/wiki/entities/The-Agency.md index 3ca15df1..b1ee1376 100644 --- a/wiki/entities/The-Agency.md +++ b/wiki/entities/The-Agency.md @@ -36,6 +36,7 @@ tags: [project, ai-agents, open-source] - [[XR Cockpit Interaction Specialist]]：XR 座舱交互专家智能体，专注于设计和开发 XR 环境的沉浸式座舱控制系统 - [[macOS Spatial/Metal Engineer]]：macOS 空间计算与 Metal 渲染工程师智能体，专注于 Native Swift 和 Metal 高性能 3D 渲染 |- [[visionOS Spatial Engineer]]：visionOS 空间计算原生开发专家智能体，专注于 Native visionOS 空间计算、SwiftUI 体积化界面和 Liquid Glass 设计实现 +|- [[Workflow Architect]]：工作流设计专家智能体，负责流程树、失败分支与交接契约 |- [[Identity Graph Operator]]：共享身份图操作智能体，负责实体解析、合并与冲突治理 |- [[Terminal Integration Specialist]]：终端仿真和 SwiftTerm 集成专家智能体 |- [[Civil Engineer]]：土木与结构工程智能体，负责多国规范下的结构分析、岩土设计和建筑合规 diff --git a/wiki/entities/UMU.md b/wiki/entities/UMU.md new file mode 100644 index 00000000..f5862395 --- /dev/null +++ b/wiki/entities/UMU.md @@ -0,0 +1,20 @@ +--- +title: "UMU Interactive Learning Platform" +type: entity +tags: [enterprise-learning-platform, blended-learning] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +UMU 互动学习平台，国内领先的混合学习平台。 + +## Characteristics +- AI 陪练伙伴 +- 视频作业功能 +- 丰富的交互功能 +- 支持多种学习活动类型 + +## Related Concepts +- [[Corporate Training Designer]]：使用该平台交付培训 +- [[混合学习]]：平台支持的学习模式 diff --git a/wiki/entities/WeCom-Learning.md b/wiki/entities/WeCom-Learning.md new file mode 100644 index 00000000..6cda7cbf --- /dev/null +++ b/wiki/entities/WeCom-Learning.md @@ -0,0 +1,15 @@ +--- +title: "WeCom Learning" +type: entity +tags: [enterprise-learning-platform, wechat-ecosystem] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +企业微信学习（Qiye Weixin），微信生态企业首选的企业学习平台。 + +## Characteristics +- 可嵌入公众号和小程序 +- 社交学习体验强 +- 适合微信生态企业 \ No newline at end of file diff --git a/wiki/entities/Workflow-Architect.md b/wiki/entities/Workflow-Architect.md new file mode 100644 index 00000000..4363a12e --- /dev/null +++ b/wiki/entities/Workflow-Architect.md @@ -0,0 +1,40 @@ +--- +title: "Workflow Architect" +type: entity +tags: [agent, workflow-design, the-agency] +sources: [specialized-workflow-architect] +last_updated: 2026-04-20 +--- + +Workflow Architect 是 The Agency 项目中的工作流设计专家智能体，负责把系统行为拆解为完整的流程树，明确每个分支、失败模式、恢复路径和交接契约。 + +## Core Identity +- **Role**: Workflow design and specification specialist +- **Personality**: Exhaustive, precise, branch-obsessed, contract-minded +- **Memory**: 记录所有未写明的假设、遗漏的分支和会导致 bug 的隐式流程 + +## Key Capabilities +- 发现未显式声明的工作流 +- 建立工作流注册表并持续维护 +- 为每个步骤定义成功、失败、超时与恢复路径 +- 定义 observable states：客户、操作员、数据库、日志 +- 维护 cleanup inventory，避免 orphan resource +- 使用 Reality Checker 闭环验证 spec 与实现一致性 + +## Related Concepts +- [[Workflow Architecture]] +- [[Claude Skills]] +- [[Process Optimization]] +- [[AI-powered Runbooks]] +- [[Document Generation]] + +## Related Entities +- [[The Agency]] +- [[Project Shepherd]] +- [[Senior Project Manager]] +- [[Document Generator]] + +## Aliases +- Workflow Design Specialist +- Workflow Spec Architect +- Process Flow Architect diff --git a/wiki/entities/Yunxuetang.md b/wiki/entities/Yunxuetang.md new file mode 100644 index 00000000..ec4924d6 --- /dev/null +++ b/wiki/entities/Yunxuetang.md @@ -0,0 +1,19 @@ +--- +title: "Yunxuetang" +type: entity +tags: [enterprise-learning-platform, cloud-academy] +sources: [] +last_updated: 2026-04-20 +--- + +## Definition +云学堂，中大型企业一站式学习平台。 + +## Characteristics +- 课程资源丰富 +- 支持人才发展全生命周期 +- 适合中大型企业 +- 功能全面的企业学习管理 + +## Related Concepts +- [[Corporate Training Designer]]：使用该平台交付培训 diff --git a/wiki/index.md b/wiki/index.md index 64bcfd96..469ddc41 100644 --- a/wiki/index.md +++ b/wiki/index.md @@ -1,1147 +1,1172 @@ -## Overview -- [Overview](overview.md) — 知识库总览 - -- [ZK Steward Agent](sources/zk-steward.md) — 基于 Niklas Luhmann 的 Zettelkasten 方法论构建 AI 时代的知识网络 - -- [The Agency: AI Specialists Ready to Transform Your Workflow](sources/agency-agents-readme.md) — 开源 AI 智能体集合项目，提供 144+ 个跨 12 个部门的专业化 AI Agent - -- [2025 年 11 个神级 AI 开源平替，GitHub 杀疯了](sources/2025-年-11-个-神级-AI-开源平替-GitHub-杀疯了.md) — 2025 年 GitHub 上 8 个 AI 领域的顶尖开源项目盘点 - -- [fireworks-tech-graph](sources/fireworks-tech-graph.md) — AI 驱动技术图生成工具，将中文描述转化为 SVG/PNG 技术图 - -- [JimLiu/baoyu-skills](sources/baoyu-skills.md) — 宝玉分享的 Claude Code 技能集，包含内容生成、AI 图像生成、工具类自动化 17+ 个技能 - -- [我的工具集](sources/wo-de-gong-ju-ji.md) — AI 工具清单整理 - -- [7 ways I use NotebookLM to make my life easier](sources/7-ways-i-use-notebooklm-to-make-my-life-easier.md) — NotebookLM 的 7 种高效使用场景 - -- [TK美国面单授权及操作流程](sources/TK美国面单授权及操作流程.md) — TikTok Shop 美国面单授权配置流程指南 - -- [TikTok Shop - Apache Superset Dashboard设计思路](sources/TikTok-Shop-Apache-Superset-Dashboard设计思路.md) — TikTok Shop 电商数据可视化仪表盘设计指南 - -- [超达物流定价](sources/chao-da-wu-liu-ding-jia.md) — 跨境电商物流定价规则与服务说明 - -- [Building your Quartz](sources/Building-your-Quartz.md) — quartz 静态站点构建与自托管指南（Nginx/Apache/Caddy） - -- [在 Ubuntu 安装 Ollama 并运行 Qwen2.5-Coder 7B](sources/在-Ubuntu-安装-Ollama-并运行-Qwen2.5-Coder-7B.md) — 在 Ubuntu 系统上安装 Ollama 本地大模型运行环境并运行 Qwen2.5-Coder 7B - -- [Obsidian CLI](sources/obsidian-cli.md) — Obsidian 官方命令行工具，用于脚本化、自动化和外部工具集成 - -- [Obsidian 必装 Skills](sources/Obsidian-必装-Skills.md) — Obsidian 必装的 AI Skills 推荐与配置指南 - -- [Obsidian CLI 命令全景速查表](sources/Obsidian-官方-CLI-命令-全景-速查表.md) — Obsidian 官方 CLI 命令速查与自动化工作流（版本要求 v1.12+） - -## Sources -- [UI Designer](sources/design-ui-designer.md) — The Agency 项目中的 UI Designer 智能体，专门负责创建美观、一致、可访问的用户界面 -- [UX Researcher](sources/design-ux-researcher.md) — The Agency 项目中的用户体验研究智能体，专注于用户行为分析和数据驱动的设计决策 -- [Contributing to The Agency](sources/the-agency-contributing.md) — The Agency 项目的贡献指南，涵盖智能体设计规范、PR 流程 -- [为 The Agency 贡献代码](sources/contributing-zh-cn.md) — The Agency 项目的贡献指南，涵盖智能体设计规范、PR 流程和社区参与方式 -- [UX Architect Agent 设计文档](sources/design-ux-architect.md) — UX Architect 技术架构与 UX 专家智能体设计规范，涵盖 CSS 设计系统、布局框架、主题切换机制 - -- [Senior Project Manager](sources/project-manager-senior.md) — Converts specifications into developer-ready task lists, enforces realistic scope, and maintains project memory -- [Experiment Tracker](sources/project-management-experiment-tracker.md) — 实验设计与执行跟踪智能体，专注于 A/B 测试、假设验证和数据驱动决策 - -- [Visual Storyteller](sources/design-visual-storyteller.md) — 视觉故事讲述专家智能体，专注于创建视觉叙事、多媒体内容和品牌故事设计 -- [Whimsy Injector Agent Personality](sources/design-whimsy-injector.md) — 品牌体验趣味性注入专家，专注于为品牌添加个性化和乐趣 - -- [Brand Guardian Agent 设计文档](sources/design-brand-guardian.md) — The Agency 项目中的品牌战略与身份保护专家智能体，专注于品牌基础框架、视觉识别系统、品牌一致性与价值保护 -- [Image Prompt Engineer Agent](sources/design-image-prompt-engineer.md) — AI 图像生成提示词工程专家智能体，专注于将视觉概念转化为精确的提示词语言 -- [Document Generator](sources/specialized-document-generator.md) — The Agency 项目中的程序化文档创建智能体，负责 PDF、PPTX、XLSX 与 DOCX 的代码化生成 -- [Agentic Identity & Trust Architect](sources/agentic-identity-trust.md) — The Agency 中负责自治 AI Agent 身份、授权、证据链与信任评分的零信任专家智能体 - -- [Inclusive Visuals Specialist](sources/design-inclusive-visuals-specialist.md) — 包容性视觉设计专家智能体，专注于对抗 AI 生成中的系统性偏见，生成文化准确、有尊严的多元人像 -- [XR Cockpit Interaction Specialist](sources/xr-cockpit-interaction-specialist.md) — XR 座舱交互专家智能体，专注于设计和开发 XR 环境的沉浸式座舱控制系统 -- [macOS Spatial/Metal Engineer](sources/macos-spatial-metal-engineer.md) — macOS Spatial/Metal Engineer 智能体，Native Swift 和 Metal 专家，构建高性能 3D 渲染系统和空间计算体验 -- [Terminal Integration Specialist](sources/terminal-integration-specialist.md) — 终端仿真和 SwiftTerm 集成专家智能体，专注于现代 Swift 应用的终端仿真、文本渲染优化 - -- [XR Interface Architect](sources/xr-interface-architect.md) — XR 界面架构师智能体，专注于沉浸式 3D 环境的空间界面设计 - -- [visionOS Spatial Engineer](sources/visionos-spatial-engineer.md) — visionOS 空间计算原生开发专家智能体，专注于 SwiftUI 体积化界面和 Liquid Glass 设计实现 -- [Identity Graph Operator](sources/identity-graph-operator.md) — 多智能体共享身份图操作智能体，负责实体解析、合并提案与冲突治理 - -- [Paid Media Programmatic & Display Buyer](sources/paid-media-programmatic-buyer.md) — 付费媒体程序化购买与展示广告智能体，专注于 DSP 平台管理、Google 展示网络、ABM 展示和合作伙伴媒体策略 - -- [Paid Media PPC Campaign Strategist](sources/paid-media-ppc-strategist.md) — 付费媒体 PPC 智能体，负责大规模搜索、购物和效果最大化广告系列架构设计 - -- [Paid Media Paid Social Strategist](sources/paid-media-paid-social-strategist.md) — The Agency 项目中的付费社交媒体广告智能体，跨平台覆盖 Meta、LinkedIn、TikTok 等 - -- [Paid Media Auditor](sources/paid-media-auditor.md) — 付费媒体审计智能体，系统化评估 Google Ads、Microsoft Ads 和 Meta 广告账户，识别 15-30% 效率提升机会 -- [Studio Operations](sources/project-management-studio-operations.md) — The Agency 项目中的工作室运营与流程优化智能体，负责日常效率、资源协调和持续改进 -- [Accounts Payable Agent](sources/accounts-payable-agent.md) — The Agency 体系中的应付账款与付款执行智能体，负责发票验证、支付路由与审计轨迹 -- [Experiment Tracker](entities/Experiment-Tracker.md) — 实验设计与执行跟踪智能体，专注于 A/B 测试、假设验证和数据驱动决策 -- [Project Shepherd](entities/Project-Shepherd.md) — 专业项目管理人员智能体，专注于跨职能项目协调、时间线管理和利益相关方对齐 -- [Recruitment Specialist](entities/Recruitment-Specialist.md) — The Agency 体系中的招聘运营与人才获取专家，负责全流程招聘与劳动法合规 -- [Accounts Payable Agent](entities/Accounts-Payable-Agent.md) — The Agency 体系中的应付账款与付款执行智能体，负责验证发票、路由支付与防止重复付款 -- [Experiment Tracker](sources/project-management-experiment-tracker.md) — 实验设计与执行跟踪智能体，专注于 A/B 测试、假设验证和数据驱动决策 -- [Jira Workflow Steward](sources/project-management-jira-workflow-steward.md) — 交付可追溯性治理智能体，专注于 Jira 关联的 Git 工作流、可追溯提交、结构化 PR 和发布安全分支策略 - -- [Paid Media Ad Creative Strategist](sources/paid-media-creative-strategist.md) — 付费媒体广告创意策略智能体，专注于广告文案撰写、响应式搜索广告优化和创意测试框架 - -- [Paid Media Tracking & Measurement Specialist](sources/paid-media-tracking-specialist.md) — 付费媒体追踪与测量专家智能体，专注于 GTM 容器架构、GA4 事件设计、服务端标记和转化归因 - -- [Search Query Analyst](sources/search-query-analyst.md) — 付费搜索查询分析智能体，专注于搜索词报告挖掘、否定关键词架构和查询意图映射 - -- [Sales Discovery Coach](sources/sales-discovery-coach.md) — 销售发现方法论指导智能体，教导销售团队通过提问、当前状态映射、差距量化和电话结构发现真正购买动机 -- [Outbound Strategist](sources/sales-outbound-strategist.md) — 基于信号的主动外呼销售策略智能体，通过购买信号触发和多渠道序列设计提升转化率 - -- [Deal Strategist](sources/sales-deal-strategist.md) — 销售交易策略智能体，专注于 MEDDPICC 资格认证、竞争定位和赢单规划 - -- [Sales Coach](sources/sales-coach.md) — 销售 coaching 专家智能体，通过 Socratic 方法提升销售代表技能、pipeline 管理和预测准确性 - -- [Proposal Strategist](sources/sales-proposal-strategist.md) — 销售提案策略智能体，将 RFP 响应转化为制胜叙事，擅长制胜主题开发和竞争定位 - -- [Sales Account Strategist](sources/sales-account-strategist.md) — 售后账户策略专家智能体，专注于 Land-and-Expand 执行、利益相关者映射、QBR 设计和净收入留存 - -- [Pipeline Analyst](sources/sales-pipeline-analyst.md) — 销售管道健康诊断与收入预测智能体，专注于管道健康评估、交易速度分析和预测准确性 - -- [Sales Engineer](sources/sales-engineer.md) — 售前工程师智能体，专注于技术发现、演示工程、POC 设计、竞争定位和解决方案架构 -- [Government Digital Presales Consultant](sources/government-digital-presales-consultant.md) — 政府数字化售前智能体，专注于政策解读、方案设计、招投标与合规适配 -- [Civil Engineer](sources/specialized-civil-engineer.md) — 土木与结构工程智能体，专注于多国规范下的结构分析、岩土设计和建筑合规 - -- [Cloud Learning Master Index](sources/cloud-learning-master-index.md) — Public Cloud Learning Sessions 课程分类索引与统计信息（10 个类别，121 个视频） - -- [Public Cloud Learning Sessions - EKS Optimization part 1 of 3 - Compute Optimization with Karpenter](sources/public-cloud-learning-sessions-eks-optimization-part-1-of-3-compute-optimization.md) — EKS 计算优化，使用 Karpenter 实现自动扩缩容 -- [Public Cloud Learning Sessions - EKS Optimization part 2 of 3 - Running Containers with Bottlerocket OS](sources/public-cloud-learning-sessions-eks-optimization-part-2-of-3-running-containers-w.md) — Bottlerocket OS 优化容器运行 -- [Public Cloud Learning Sessions - EKS Optimization part 3 of 3 - Introduction to EKS Auto Mode](sources/public-cloud-learning-sessions-eks-optimization-part-3-of-3-introduction-to-eks-auto-mode.md) — EKS Auto Mode 介绍，自动管理数据平面实例、操作系统、补丁和安全更新 - -- [Public Cloud Learning Sessions - Introduction to AI/ML with AWS](sources/public-cloud-learning-sessions-introduction-to-artificial-intelligence-ai-machine-learning-20240206.md) — AWS AI/ML 介绍与实践，Suraav Paul 讲解生成式 AI、 Amazon Bedrock 和 ML Ops - -- [Public Cloud Learning Sessions - Reducing Cloud Costs - 20250318](sources/public-cloud-learning-sessions-reducing-cloud-costs-20250318-170100-meeting-reco.md) — 云成本优化策略，涵盖工作负载优化（现代化+Right Sizing）和费率优化（Savings Plans、预留实例） - -- [Public Cloud Learning Sessions - Best practices for EC2 cost optimization in AWS](sources/public-cloud-learning-sessions-best-practices-for-ec2-cost-optimization-in-aws-2.md) — EC2 成本优化最佳实践，涵盖 Graviton 迁移、Spot 实例利用和购买选项 - -- [Public Cloud Learning Sessions - Observability with OpenTelemetry](sources/public-cloud-learning-sessions-observability-with-opentelemetry-20240402-160113-.md) — OpenTelemetry 可观测性框架在 AWS 环境中的应用（Metrics、Logs、Traces 三大信号） - -- [Public Cloud Learning Sessions - Ollie Workflow and The Demand Process](sources/public-cloud-learning-sessions-ollie-workflow-and-the-demand-process-20240416.md) — Oli 工作流流程，用于超大规模云服务商的支出审批、需求管理和请求处理 - -- [我做了个 Skill：让 AI 帮你生成 Logo 和图标](sources/我做了个-Skill-让-AI-帮你生成-Logo-和图标.md) — AI 生成 Logo 的 Skill 工作流，三步生成专业设计资产 - -- [AI Memory Tools：两大阵营的深度解析](sources/AI-Memory-Tools-Two-Camps.md) — AI Agent 记忆工具的两大技术路线：记忆后端（Memory Backend）vs 上下文基质（Context Substrate） - -- [电商如何选品 如何找到爆款 选品策略](sources/dian-shang-xuan-pin-bao-kuan-xuan-pin-celue.md) — 跨境电商选品策略与爆款挖掘方法，20种产品选择策略 - -- [做TK跨境思路不对努力白费](sources/做TK跨境思路不对努力白费.md) — TikTok 跨境电商实战策略，从市场选择到团队建设的完整流程 - -- [Scrapy + Playwright 抓取TikTok Shop Data](sources/Scrapy-Playwright-抓取TikTok-Shop-Data.md) — Docker 容器内配置 Scrapy + Playwright 爬虫环境的完整指南（venv、依赖安装、运行命令） -- [codecrafters-io/build-your-own-x](sources/codecrafters-iobuild-your-own-x-master-programming-by-recreating-your-favorite-technologies-from-scratch.md) — 通过从零重建22个技术领域掌握编程技能 - -- [Never write another prompt](sources/never-write-another-prompt.md) — 通过工具简化 AI 提示词创建流程 - -- [CTP Topic 34 Azure Landing Zone Architecture Overview](sources/ctp-topic-34-azure-landing-zone-architecture-overview.md) — Azure Landing Zone 架构设计，Management Groups、Subscription 分离、Terraform Cloud 自动化 -- [CTP Topic 67 Cloud Native Observability Using OpenTelemetry](sources/ctp-topic-67-cloud-native-observability-using-opentelemetry.md) — 云原生可观测性方案，基于 ADOT 在 EKS 上的部署实践 - -- [CTP Topic 42 Grafana Observability Dashboard](sources/ctp-topic-42-grafana-observability-dashboard.md) — Grafana 可观测性平台与仪表盘设计，支持多数据源集成和 Terraform 自动化部署 - -- [CTP Topic 36 SendGrid as an email service](sources/ctp-topic-36-sendgrid-as-an-email-service.md) — SendGrid 被采用为 CTP 标准邮件服务，替换不安全的语义网关和受限的 SES 方案 - -- [CTP Topic 37 Secrets Certificates Management](sources/ctp-topic-37-secrets-certificates-management.md) — 云转型项目密钥与证书管理方案选型（AWS Secrets Manager vs HashiCorp Vault vs CyberArk PAM），30天试点验证后选择 AWS Secrets Manager - -- [CTP Topic 46 NetApps on AWS](sources/ctp-topic-46-netapps-on-aws.md) — NetApp on AWS (CVO) 架构、部署、数据分层、安全与迁移 - -- [CTP Topic 49 Container Lifecycle Hardening Standards](sources/ctp-topic-49-container-lifecycle-hardening-standards.md) — Micro Focus 容器生命周期加固标准，构建阶段 11 项安全最佳实践 - -- [CTP Topic 58 AWS EC2 Image Builder](sources/ctp-topic-58-aws-ec2-image-builder.md) — AWS EC2 Image Builder 服务，用于自动创建、管理和分发 AMIs 和 Docker 镜像 - -- [CTP Topic 26 Standard AMI – build, publish, share processes](sources/ctp-topic-26-standard-ami-build-publish-share-processes.md) — Foundation AMI 的构建、加固与分发流程 - -- [CTP Topic 50 AMI Roadmap for AWS AMIs](sources/ctp-topic-50-ami-roadmap-for-aws-amis.md) — AWS AMI 路线图与 CCOE 标准化 AMI 发布计划 - -- [CTP Topic 63 Optimise resource cost using automation](sources/ctp-topic-63-optimise-resource-cost-using-automation.md) — 通过自动化技术降低云资源成本，涵盖批准区域、实例类型优化、承诺计划、存储优化和自动化调度 -- [CTP Topic 71 PCG's Guide to RightSizing, Why, How, When](sources/ctp-topic-71-pcgs-guide-to-rightsizing-why-how-when.md) — AWS 资源优化（Right Sizing）的全面指南，涵盖 Why、How、When 三大维度 - -- [Learning Sessions Cloud Transformation Programme 20230808](sources/learning-sessions-cloud-transformation-programme-20230808-183322-meeting-recording.md) — ECS 基础设施即代码部署，CTP 自研 ECS Terraform 模块 - -- [Learning Sessions Cloud Transformation Programme-Deploying RDS via Terraform](sources/Learning-Sessions-Cloud-Transformation-Programme-Deploying-RDS-via-Terraform.md) — 通过 Terraform 部署 Amazon RDS，Greg (DBRE) 介绍 IaC 优势和 Terragrunt 使用 - -- [CTP Topic 48 Terraform vs Terragrunt](sources/ctp-topic-48-terraform-vs-terragrunt.md) — Terraform 与 Terragrunt 对比，Terraform 是云无关 IaC 工具，Terragrunt 是 DRY 包装器 - -- [CTP Topic 16 Cross-account Terraform modules](sources/ctp-topic-16-cross-account-terraform-modules.md) — 多账号 AWS 环境中的跨账号 Terraform 模块实现，通过 Shared Account 中心化部署方案实现安全自动化 - -- [养虾日记1：我用 OpenClaw 管了 28 万张照片：一次真实的多设备照片整理实战](sources/养虾日记1-我用-OpenClaw-管了-28-万张照片-一次真实的多设备照片整理实战.md) — 利用 AI Agent 自动化整理 28 万张照片（MD5 去重 + 批次任务 + Cron 定时执行） - -- [教學 ChatGPT 先做知識整理，再讓 Canva、 Gamma AI 輸出簡報](sources/jiao-xue-chatgpt-xian-zuo-zhi-shi-zheng-li-zai-rang-canva-gamma-ai-shu-chu-jian-bao.md) — AI 简报制作四阶段工作流（ChatGPT 资料研究 + Canva/Gamma 设计） - -- [养虾日记2：让Agent更懂你：OpenClaw + Self-Improving 复盘实战案例分享](sources/养虾日记2-让Agent更懂你-OpenClaw-Self-Improving-复盘实战案例分享.md) — AI Agent 记忆问题的解决方案（self-improving skill + 双层记忆架构 + 每日复盘机制） - -- [养虾日记3：用 Obsidian + Gitea 为 AI 助手构建持久化笔记系统](sources/养虾日记3-用-Obsidian-Gitea-为-AI-助手构建持久化笔记系统.md) — Obsidian + Gitea + OpenClaw 实现 AI 输出持久化 - -- [养虾日记4：一次「Context Limit Exceeded」错误排查：我以为是小问题，结果踩了大坑](sources/养虾日记4-一次「Context-Limit-Exceeded」错误排查-我以为是小问题-结果踩了大坑.md) — OpenClaw AI Agent 的 Context Limit 错误排查（模型配置问题、Gateway 日志分析、两层配置分清） - -- [养虾日记5：深夜与苏轼聊AI，他说：被浪打下去还能爬起来的才叫风流](sources/养虾日记5-深夜与苏轼聊AI-他说-被浪打下去还能爬起来的才叫风流.md) — 用AI蒸馏历史人物思维框架，创建可对话的"数字导师"（思维蒸馏、女娲·Skill、6维度采集） - -- [养龙虾5天血泪史](sources/养龙虾5天血泪史-我的AI-Agent为什么总失忆-OpenClaw-记忆调试全记录.md) — OpenClaw 内存管理问题诊断与解决（5天调试经验、10条黄金法则） - -- [Autonomous Educational Game Development Pipeline](sources/autonomous-game-dev-pipeline.md) — AI Agent 自主管理教育游戏全生命周期的工作流（Game Developer Agent、Bugs First 策略、Git 自动化） -- [Learn AI for free directly from top companies](sources/learn-ai-for-free-directly-from-top-companies.md) — 汇总 10 个顶级科技公司提供的免费 AI 学习和培训资源（Anthropic、Google、Meta、NVIDIA、Microsoft、OpenAI、IBM、AWS、DeepLearning.AI、Hugging Face） -- [X Account Analysis](sources/x-account-analysis.md) — 使用 OpenClaw 分析 X 账户发布质量的工作流（Bird Skill、定性分析） -- [Goal-Driven Autonomous Tasks](sources/overnight-mini-app-builder.md) — AI Agent 自主目标驱动任务生成与执行工作流 -- [Autonomous Project Management with Subagents](sources/autonomous-project-management.md) — 去中心化多 Subagent 项目管理模式，通过共享 STATE.yaml 协调任务 -- [Multi-Channel Assistant](sources/multi-channel-assistant.md) — AI 助手通过多渠道整合实现任务、日程、消息和提醒的统一管理 -- [Custom Morning Brief](sources/custom-morning-brief.md) — AI Agent 定时发送自动化早间简报（新闻、待办、任务推荐） -- [Daily Reddit Digest](sources/daily-reddit-digest.md) — AI Agent 定时从 Reddit 热门子版块获取热门帖子并生成每日摘要 -- [Dynamic Dashboard with Sub-agent Spawning](sources/dynamic-dashboard-with-sub-agent-spawning.md) — 实时动态仪表盘系统，通过 Sub-agent 并行获取多数据源数据 -- [Health & Symptom Tracker](sources/health-symptom-tracker.md) — AI Agent 自动追踪食物和症状的工作流 -- [Self-Healing Home Server & Infrastructure Management](sources/self-healing-home-server-infrastructure-management.md) — AI Agent 作为家庭基础设施的自动化运维代理（OpenClaw、cron 作业、自愈修复、安全审计） -- [AI-Powered Earnings Tracker](sources/ai-powered-earnings-tracker.md) — AI Agent 自动追踪科技公司财报的工作流（Cron Jobs、Telegram 推送） -- [N8N Full Tutorial Building AI Agents in 2025 for Beginners!](sources/n8n-full-tutorial-building-ai-agents-in-2025-for-beginners.md) — N8N 平台构建 AI Agent 的入门教程（节点类型、工具集成、记忆机制） -- [Multi-Channel AI Customer Service Platform](sources/multi-channel-ai-customer-service-platform.md) — 多渠道AI客服平台，整合WhatsApp、Instagram、邮件和Google Reviews统一管理 -- [Second Brain](sources/second-brain.md) — AI Agent 作为个人记忆捕获系统，通过即时通讯零摩擦捕获+Next.js 搜索界面 -- [Personal Knowledge Base (RAG)](sources/knowledge-base-rag.md) — AI Agent 驱动的个人知识库系统，通过语义搜索实现信息的有效检索 -- [Multi-Agent Content Factory](sources/multi-agent-content-factory.md) — 在 Discord 中构建多 Agent 内容工厂，实现研究→写作→设计自动化流水线 -- [Dataview——让我从"笔记黑洞"里逃出来的 Obsidian 神器](sources/Dataview-让我从-笔记黑洞-里逃出来的-Obsidian-神器-1.md) — 微信公众号「赫点茶」分享的 Dataview 插件使用体验，让笔记真正"活"起来 -- [为什么你的笔记总是乱糟糟？试试这个方法，彻底告别信息混乱！](sources/bi-ji-zheng-li-fang-fa-ga-bie-hun-luan.md) — 微信公众号「赫点茶」分享的笔记整理方法 -- [开发经验与项目规范整理文档](sources/kai-fa-jing-yan-yu-xiang-mu-gui-fan-zheng-li-wen-dang.md) — 软件开发经验与项目规范整理（变量名维护、文件结构、编码规范、架构原则） -- [Obsidian最有必要安装的10款插件是这些](sources/obsidian-most-essential-plugins.md) — Obsidian 最核心的 10 款必要插件推荐与组合使用建议 -- [Obsidian 高效指南：我常用的插件与实用技巧](sources/obsidian-ga-xiao-zhi-nan-wo-chang-yong-de-cha-jian-yu-shi-ji-qiao.md) — 作者分享的插件使用技巧与知识管理方法 -- [Obsidian Tasks 插件：这可能是最适合懒人的任务管理方式](sources/obsidian-tasks-plugin-lazy-friendly-task-management.md) — Obsidian Tasks 插件的使用体验与效率提升 -- [为什么 Obsidian 让我戒掉了碎片化记录](sources/wei-shi-yao-obsidian-rang-wo-jie-diao-le-sui-pian-hua-ji-lu.md) — 微信公众号「赫点茶」关于 Obsidian 双链机制解决碎片化记录的分享 -- [ChinaTextbook - 41.53 GB，中国小学、初中、高中、大学 PDF 教材](sources/chinatextbook-41-53-gb-china-textbook-pdf.md) — ChinaTextbook GitHub 项目，收集公开的中国 K12 及大学 PDF 教材 -- [如何在项目里安装 Claude Code Templates Skills](sources/如何在项目里安装claude-code-templates-skills.md) — Claude Code Templates 模板平台的安装使用方法（通过 npx 安装 Skills、Agents、MCP 模板） -- [Vibe Coding 经验收集](sources/vibe-coding-experience-collection.md) — Vibe Coding（氛围编程）的实践经验与方法论（伪代码→代码流程、点→线→体迭代、系统 Prompt 优化） -- [Trae远程开发部署指南](sources/trae-remote-development-deployment-guide.md) — Trae IDE 远程连接 Ubuntu 服务器进行 Docker 项目开发的配置指南（SSH 免密、Remote-SSH 插件、两种开发模式） -- [Ubuntu用RustDesk远程登录出现不能使用Wayland登录的错误](sources/ubuntu-rustdesk-wayland-login-error.md) — Ubuntu 24.04 使用 RustDesk 远程桌面时无法在 Wayland 登录界面工作的解决方案 -- [如何在Ubuntu上安装opencode并配置Vibe-Kanban](sources/如何在ubuntu上安装opencode并配置vibe-kanban.md) — OpenCode AI 编程助手的安装、配置与使用指南（Zen 模型列表、Plan/Build 双模式、AGENTS.md 项目初始化） -- [Last30Days 使用指南](sources/Last30Days-使用指南.md) — 多平台热门内容研究工具的使用指南 -- [在Ubuntu 上安装Vibe-Kanban](sources/ubuntu-vibe-kanban-installation.md) — 在 Ubuntu 系统上通过 npx 安装 Vibe-Kanban 并使用 pm2 进行进程管理的完整指南 -- [Cursor 2.0 初学者使用指南](sources/cursor-2.0-beginner-guide.md) — Cursor 2.0 AI 增强代码编辑器的初学者使用教程（安装、界面、AI 代理、代码生成与审查） -- [如何传输 Docker images 并且在另一个 Docker 安装](sources/docker-images-transfer-guide.md) — Docker 镜像在不同主机之间的传输方法，使用 save/load 命令实现离线迁移 -- [用Docker安装Homarr](sources/docker-homarr-installation.md) — 使用 Docker 部署 Homarr 仪表板应用的配置文件 -- [用Docker安装Apache Superset](sources/用docker安装apache-superset.md) — 使用 Docker 部署 Apache Superset 开源 BI 平台的安装配置指南 -- [家庭网络环境概览](sources/home-network-environment-overview-2026-04-03.md) — 家庭网络基础设施架构与多服务部署方案（FRP、Caddy、Cloudflare） -- [删除旧 Portainer Container + Volume](sources/removing-old-portainer-container-volume.md) — 清理旧的 Portainer 容器、网络和数据卷的完整流程 -- [用 Docker 安装 Portainer](sources/portainer-docker-installation-guide.md) — 使用 Docker 部署 Portainer 可视化管理工具 -- [Ubuntu 禁用合盖休眠](sources/ubuntu-disable-lid-close-sleep.md) — 在 Ubuntu 24.04 中禁用笔记本合盖休眠行为 -- [安装v2rayN](sources/install-v2rayn.md) — v2rayN 多平台安装指南（Windows、Linux、macOS） -- [Install Apache Superset in Docker](sources/install-apache-superset-in-docker.md) — 使用 Docker 部署 Apache Superset 开源 BI 工具 -- [Ubuntu Server科学上网指南](sources/ubuntu-server-scientific-internet-access-guide.md) — 在 Ubuntu Server 上配置代理实现科学上网（V2RayN + ProxyChains + Git/Docker 代理配置） -- [3X-UI Xray on BandwagonVPS](sources/3x-ui-xray-on-bandwagonvps.md) — 在 Bandwagon VPS 上安装配置 3X-UI 面板管理 Xray 代理服务 -- [可自动化、可扩展、AI增强的电商数据采集与处理系统](sources/ai-enhanced-ecommerce-data-collection-processing-system.md) — 基于 Docker + n8n + Scrapy + Playwright 的电商数据采集与处理系统设计 -- [MySQL MariaDB 数据库详细信息](sources/mysql-mariadb-database-details.md) — MySQL/MariaDB 数据库配置与远程访问用户创建 -- [Cloud Operating Model: Key Strategies and Best Practices](sources/Cloud-Operating-Model-Key-Strategies-and-Best-Practices.md) — 云运营模型（COM）四大支柱：治理、自动化、安全、成本管理，涵盖金融、医疗、零售、SaaS 行业用例 -- [用Docker中安装Navidrome](sources/用Docker中安装Navidrome.md) — 使用 Docker 部署 Navidrome 音乐流媒体服务器的配置文件示例 -- [What is DevSecOps? Best Practices, Benefits, and Tools](sources/what-is-devsecops-best-practices-benefits-and-tools.md) — DevSecOps 方法论详解（定义、SDLC 集成、4 大工具类型、Shift Left/Right 策略） -- [RTO vs RPO: Key Differences for Modern Disaster Recovery](sources/RTO-vs-RPO-Key-Differences-for-Modern-Disaster-Recovery.md) — RTO（恢复时间目标）与 RPO（恢复点目标）的定义、区别及 Feature Flag 在现代持续交付中的应用 -- [These 6 Linux apps let you monitor system resources in style](sources/These-6-Linux-apps-let-you-monitor-system-resources-in-style.md) — 6 款 Linux 系统资源监控工具评测（TUI：btop++、htop、glances、bottom；GUI：Mission Center、Stacer） -- [Public vs Private vs Hybrid: Cloud Differences Explained](sources/Public-vs-Private-vs-Hybrid-Cloud-Differences-Explained.md) — 公有云、私有云和混合云的核心区别与选择指南 -- [Understanding Complete ITSM](sources/understanding-complete-itsm.md) — 现代 IT 服务管理的全面演进 -- [How Agentic AI can help for Cloud DevOps](sources/How-Agentic-AI-can-help-for-Cloud-DevOps.md) — Agentic AI 增强 Cloud DevOps 的七大领域（自动化事件响应、成本优化、安全合规等） -- [The Myths and Misconceptions About Cloud Computing | LinkedIn](sources/The-Myths-and-Misconceptions-About-Cloud-Computing-LinkedIn.md) — 云计算常见误解与真相 -- [How Can a Multi Cloud Strategy Transform Your Business ROI?](sources/How-Can-a-Multi-Cloud-Strategy-Transform-Your-Business-ROI.md) — 多云策略如何提升业务ROI（定义、优势、实施方法） -- [DevOps Culture and Transformation: Fostering Collaboration, Agile Practices, and Innovation](sources/DevOps-Culture-and-Transformation.md) — DevOps 文化转型与敏捷实践方法论 -- [Cloud DevOp Maturity - Guideline](sources/cloud-devop-maturity-guideline.md) — 企业级 SaaS 公司的 DevOps 成熟度评估框架 -- [Cloud Maturity Model A Detailed Guide For Cloud Adoption](sources/Cloud-Maturity-Model-A-Detailed-Guide-For-Cloud-Adoption.md) — 云成熟度模型（CMM）的5级框架及最佳实践指南 -- [DevOps Maturity Model From Traditional IT to Advanced DevOps](sources/DevOps-Maturity-Model-From-Traditional-IT-to-Advanced-DevOps.md) — DevOps 成熟度五级框架（初始→完全成熟），涵盖文化、自动化、流程、协作、技术五大评估领域 -- [How to Simplify Multi-Account Deployments Monitoring: Centralized Logs for AWS CloudFormation StackSets](sources/how-to-simplify-multi-account-deployments-monitoring-centralized-logs-for-aws-cloudformation-stacksets.md) — 多账号环境下 CloudFormation StackSets 部署监控的集中化日志解决方案 -- [Modern ITSM: Driving Efficiency, Security & Resilience](sources/modern-itsm-driving-efficiency-security-resilience.md) — 现代 IT 服务管理的演进趋势，AIOps、零信任架构等技术的应用 -- [通过 VPS+内网反向代理实现域名访问内网穿透](sources/vps-frp-reverse-proxy-internal-network-access.md) — 通过 FRP+Caddy 实现内网服务穿透，Aliyun DNS 域名管理 -- [在Ubuntu上通过VPS+内网反向代理实现域名访问内网穿透](sources/vps-frp-reverse-proxy-ubuntu-internal-network-access.md) — 在 Ubuntu 上通过 FRP+Caddy 实现内网穿透，侧重 SSH 穿透配置 -- [Mac Mini 安装 FRP 0.65.0（ARM64）操作笔记](sources/mac-mini-install-frp-0-65-0-arm64-operation-guide.md) — 在 Mac Mini M4（Apple Silicon/ARM64）上安装 FRP 0.65.0 客户端，实现内网穿透和远程访问 -- [Mac Mini 服务器配置：防止自动锁屏与睡眠](sources/mac-mini-server-prevent-auto-lock-sleep.md) — 配置 Mac Mini 防止自动锁屏和睡眠，确保远程访问持续可用（pmset、caffeinate） -- [Ubuntu 服务器通过 rsync 实现日常增量备份](sources/ubuntu-rsync-incremental-backup-guide.md) — 使用 rsync 实现 Ubuntu 服务器到 NAS 的增量备份，涵盖 NFS 永久挂载和灾难恢复 -- [万字讲透OpenClaw🦞从"能用"到"真好用"的分水岭：Workspace 深度解析](sources/万字讲透OpenClaw-Workspace深度解析-2026-03-21.md) — OpenClaw workspace 文件体系深度解析（AGENTS.md、SOUL.md、USER.md、IDENTITY.md、TOOLS.md、BOOTSTRAP.md、memory/） -- [在 Ubuntu 安装 Ollama 并运行 Qwen2.5-Coder 7B](sources/ubuntu-install-ollama-run-qwen2.5-coder-7b.md) — 在 Ubuntu 系统上安装 Ollama 本地大模型运行环境并运行 Qwen2.5-Coder 7B 模型 -- [如何在Ubuntu Server上通过NFS挂载Synology NAS上的共享文件夹](sources/ubuntu-server-nfs-synology-nas-mount-guide.md) — 在 Ubuntu Server 上通过 NFS 协议挂载 Synology NAS 共享文件夹 -- [如何在 Ubuntu Server 安装 docker & docker compose](sources/ubuntu-server-docker-docker-compose-installation.md) — 在 Ubuntu Server 上安装 Docker Engine 和 Docker Compose V2 的完整步骤 -- [Linux 运维必会的 150 个命令](sources/Linux-运维必会的-150-个命令.md) — Linux 系统管理常用命令的分类汇总（12类150个命令） -- [NodeWarden - 把 Bitwarden 搬上 Cloudflare Workers](sources/nodewarden-bitwarden-cloudflare-workers-serverless-deployment.md) — 使用 Cloudflare Workers 部署自托管 Bitwarden 密码服务器 -- [网件RAX50路由器刷梅林固件与科学上网插件安装教程](sources/netgear-rax50-merlin-firmware-clash-installation-guide.md) — 网件RAX50路由器刷入梅林固件并安装科学上网插件的完整教程 -- [RAX50 路由器更新 Merlin Clash 订阅指南](sources/rax50-router-update-merlin-clash-subscription.md) — RAX50 路由器 Merlin Clash 订阅更新教程 -- [用Docker安装it-tools](sources/docker-it-tools-installation-guide.md) — 使用 Docker 部署 it-tools 运维工具集合 -- [用Docker安装Jellyfin](sources/docker-jellyfin-installation.md) — 使用 Docker 部署 Jellyfin 媒体服务器的配置文件示例 -- [用Docker安装transmission](sources/docker-transmission-installation-guide.md) — 使用 Docker 部署 Transmission BT 下载客户端 -- [Ubuntu 24.04 启动 SSH 服务](sources/ubuntu-24.04-enable-ssh.md) — 在 Ubuntu 24.04 中启用 SSH 服务的完整步骤（安装、配置、防火墙） -- [Clonezilla对Ubuntu Server进行全盘镜像备份](sources/clonezilla-ubuntu-server-full-disk-backup.md) — 使用 Clonezilla 实现 Ubuntu Server 全盘镜像备份到 NAS -- [Synology NAS + Xiaoya Alist + CloudDrive2 + Plex 搭建家庭媒体平台](sources/synology-nas-xiaoya-alist-clouddrive2-plex-media-platform.md) — 利用群晖NAS + Xiaoya Alist + CloudDrive2 + Plex 搭建家庭媒体平台 -- [在 HP ZBook 工作站笔记本上安装 Ubuntu 24.04.2](sources/ubuntu-24.04.2-hp-zbook-installation-guide.md) — 在 HP ZBook 工作站上安装 Ubuntu 24.04.2 桌面版的完整指南，包含分区配置和启动修复 -- [如何用指纹浏览器安全注册并订阅Claude Pro会员全攻略](sources/claude-pro-fingerprint-browser-subscription-guide.md) — 通过指纹浏览器 + 高纯净度代理 IP 安全注册并订阅 Claude Pro 会员 -- [如何判别你的Linux 服务器是 x64（也就是 x86_64）还是 ARM64](sources/linux-x64-arm64-detection-guide.md) — Linux 服务器架构类型（x86_64 与 ARM64）的 4 种命令行检测方法 -- [在Synology NAS上安装CloudDrive2](sources/synology-nas-clouddrive2-installation.md) — 在 Synology NAS 上安装配置 CloudDrive2 挂载阿里云盘 -- [家庭监控方案：Prometheus + Grafana + Node Exporter + cAdvisor + Blackbox](sources/家庭监控方案-prometheus-grafana-node-exporter-cadvisor-blackbox.md) — 使用开源组件实现家庭监控的完整方案 -- [macOS 创建与解除 Symbolic Link（OpenClaw 目录映射）](sources/macos-symbolic-link-openclaw-directory-mapping.md) — macOS 符号链接的创建与解除方法，将 OpenClaw 隐藏目录映射为可见目录 -- [群晖NAS科学上网方法](sources/synology-nas-scientific-internet-guide.md) — 在群晖 NAS 上通过 V2RayA 配置透明代理，使 Docker 可以科学上网 -- [MinIO + Zipline 自托管图床应用安装教程](sources/minio-zipline-self-hosted-image-bed-tutorial.md) — 在 Synology NAS 上使用 Docker 部署 MinIO + Zipline 自托管图床 -- [TikTok PM - Python Django Project](sources/TikTok-PM-Python-Django-Project.md) — TikTok 产品管理系统（Django Web 应用），涵盖 Django Admin 定制、DRF API、异步任务、Docker 部署完整指南 -- [用Docker安装Homarr](sources/docker-homarr-installation-guide.md) — 使用 Docker 部署 Homarr 仪表板应用的配置文件 -- [How to Get the RSS Feed For Any YouTube Channel](sources/how-to-get-the-rss-feed-for-any-youtube-channel.md) — 通过 View Page Source 获取 YouTube 频道 RSS 订阅源 -- [How to get Youtube Channel ID](sources/how-to-get-youtube-channel-id.md) — 通过 view-source 获取 YouTube 频道 ID 的方法 -- [n8n Docker install & update](sources/n8n-docker-install-update.md) — n8n 工作流自动化工具的 Docker 部署与网络代理配置 -- [n8n configure telegram trigger](sources/n8n-configure-telegram-trigger.md) — n8n Telegram Trigger 配置问题排查与解决（设置 WEBHOOK_URL 环境变量为 HTTPS URL） -- [n8n+Claude 通过自然语言自动化工作流](sources/n8n-Claude-通过自然语言自动化工作流.md) — n8n 与 Claude 集成，通过自然语言自动化工作流 -- [OpenClaw + n8n Workflow Orchestration](sources/n8n-workflow-orchestration.md) — AI Agent 通过 n8n webhook 代理实现凭证隔离和安全交互 -- [OpenClaw as Desktop Cowork (AionUi)](sources/aionui-cowork-desktop.md) — AionUi 桌面端协同工作界面 + OpenClaw 远程救援与多 Agent 管理 -- [Google 5个Agent Skill设计模式](sources/Google-5-Agent-Skill-design-patterns-2026-03-19.md) — Google Cloud 发布的 5 种 Agent Skill 设计模式（Tool Wrapper、Generator、Reviewer、Inversion、Pipeline） -- [MCP在Cursor中的集成与应用详解](sources/MCP-zai-Cursor-zhong-de-ji-cheng-yu-ying-yong-xiang-jie.md) — 在 Cursor IDE 中集成和使用 MCP（Modal Context Protocol）协议的教程 -- [使用Claude自动生成N8N工作流的实操教程](sources/使用Claude自动生成N8N工作流的实操教程.md) — 利用 Claude AI 助手自动生成 n8n 工作流的实操教程（n8n-mcp 集成、Opensea 模型配置） -- [万字保姆级教程，让你90天跑通"一人公司"模式（附AI提示词）](sources/万字保姆级教程-让你90天跑通一人公司模式-附AI提示词.md) — 通过找到个人优势实现一人公司模式的方法论（天才地带自检、Ikigai交集、产品体系搭建） -- [Multi-Agent Specialized Team (Solo Founder Setup)](sources/multi-agent-team.md) — Solo founder 通过多 Agent specialized team 实现高效工作模式（角色定义、共享内存、Telegram 控制、定时任务） - -- [多智能体系统可靠性](sources/Multi-Agent-System-Reliability.md) — 多智能体系统可靠性四种架构模式：层级结构、共识投票、对抗式辩论、淘汰制 - -- [Event Guest Confirmation](sources/event-guest-confirmation.md) — AI Agent 自动外呼确认活动宾客出席（SuperCall、Twilio、GPT-4o Realtime） -- [Podcast Production Pipeline](sources/podcast-production-pipeline.md) — 多 Agent 协同的播客生产流水线，将录制前研究、脚本、Show Notes、社交媒体素材、SEO 描述等 70% 非创意性工作自动化 -- [Automated Meeting Notes & Action Items](sources/meeting-notes-action-items.md) — AI Agent 自动将会议转录转化为结构化笔记，并在项目管理工具（Jira、Linear、Todoist）中创建任务 -- [Daily YouTube Digest](sources/daily-youtube-digest.md) — AI Agent 自动从订阅频道获取视频并生成每日摘要的工作流 -- [YouTube Content Pipeline](sources/youtube-content-pipeline.md) — YouTube 内容策划与研究自动化流水线 -- [Pre-Build Idea Validator](sources/pre-build-idea-validator.md) — AI Agent 项目启动前的创意验证机制（MCP server 扫描 GitHub、npm、PyPI 等计算竞争度评分） -- [Project State Management System](sources/project-state-management.md) — 事件驱动系统替代 Kanban 看板，通过数据库存储项目状态和历史事件，AI Agent 自然语言交互追踪进度 -- [Phone-Based Personal Assistant](sources/phone-based-personal-assistant.md) — 基于电话的AI个人助理，通过语音与OpenClaw交互（ClawdTalk、Telnyx） -- [Market Research & Product Factory](sources/market-research-product-factory.md) — AI 辅助创业自动化流水线（Last 30 Days、Reddit/X 痛点挖掘、MVP 构建） -- [Inbox De-clutter](sources/inbox-declutter.md) — Newsletter 邮件自动化整理与摘要生成（Cron Jobs、用户反馈优化） -- [Todoist Task Manager: Agent Task Visibility](sources/todoist-task-manager-agent-task-visibility.md) — 通过 Todoist API 将 AI Agent 内部推理和进度日志同步到任务管理工具，实现长时间运行任务的可视化追踪 -- [Habit Tracker & Accountability Coach](sources/habit-tracker-accountability-coach.md) -- [LaTeX Paper Writing](sources/latex-paper-writing.md) — AI Agent 作为 LaTeX 写作助手，无本地 TeX Live 即可即时编译 PDF -- [Local CRM Framework with DenchClaw](sources/local-crm-framework-with-denchclaw.md) — 使用 DenchClaw 框架将 OpenClaw 转变为本地 CRM 系统 -- [Polymarket Autopilot: Automated Paper Trading](sources/polymarket-autopilot.md) — AI Agent 自动化模拟交易预测市场（TAIL、BONDING、SPREAD 策略） -- [Personal CRM with Automatic Contact Discovery](sources/personal-crm.md) — AI Agent 自动构建和维护个人 CRM 系统（cron job 扫描邮件日历、自然语言查询、会议准备简报） -- [Phone Call Notifications](sources/phone-call-notifications.md) — AI Agent 通过电话主动呼叫推送重要通知（clawr.ing、双向语音对话） -- [Multi-Source Tech News Digest](sources/multi-source-tech-news-digest.md) — AI Agent 自动从 109+ 来源（RSS、Twitter、GitHub、Web搜索）聚合、评分并推送技术新闻 -- [家庭日历聚合与生活助手](sources/family-calendar-household-assistant.md) — 将 OpenClaw 构建为家庭协调代理，聚合多平台日历、监控消息自动创建日程、管理家庭库存和购物清单 -- [Semantic Memory Search](sources/semantic-memory-search.md) — 为 OpenClaw 添加向量语义搜索能力 -- [不谈技术：普通人该怎么在AI时代赚钱？](sources/bu-tan-ji-shu-pu-tong-ren-gai-zen-me-zai-ai-shi-dai-zhuan-qian.md) — AI时代普通人赚钱策略（品味护城河、端到端、死亡过滤器） - -- [如果你有多项兴趣爱好，不要浪费接下来的两三年时间](sources/如果你有多项兴趣爱好-不要浪费接下来的两三年时间.md) — 多兴趣人群在AI时代的自我教育与创业策略 -- [二创视频必不可少！2025年最热门AI工具推荐合集-AI配音、声音克隆](sources/二创视频必不可少-2025年最热门AI工具推荐合集-AI配音-声音克隆.md) — 7款主流AI配音及声音克隆工具推荐（ElevenLabs、海螺AI、F5-TTS、TTSMaker、剪映、魔音工坊、AnyVoice） - -- [一语点醒梦中人](sources/一语点醒梦中人.md) — 中国古代哲学智慧名言解读（王维、曾国藩、老子、庄子、佛陀） - -- [固定镜头短视频制作的AI全流程解析](sources/固定镜头短视频制作的AI全流程解析.md) — 利用 AI 技术制作高播放量家装短视频的完整流程（固定机位 + 分镜拆解 + 九宫格图像 + 首尾针动画） - -- [14个免费的AI图生视频工具，用AI让图片动起来](sources/14个免费的AI图生视频工具-yi-ai-rang-tu-pian-dong-qi-lai.md) — 14个免费 AI 图生视频工具评测与推荐（绘蛙、智谱清影、通义万相、Vidu、可灵等） - -- [全网最全！Nano Banana 2 使用指南（2025年12月更新）](sources/全网最全-Nano-Banana-2-使用指南-2025年12月更新-1.md) — 国内使用 Nano Banana 2 的完整指南，通过 DeepSider 插件实现国内访问 - -- [谷歌Nano Banana Pro提示词指南](sources/google-nano-banana-pro-prompt-guide.md) — Google 发布的 Nano Banana Pro 图像生成模型的专业级提示词设计指南（10个专业内容生产技巧、4K 级输出） - -- [Nano Banana 提示词框架](sources/Nano-Banana-提示词框架.md) — Google Nano Banana 图像生成模型的提示词框架（物件描述、人物描述两类结构化 JSON 模板） - -- [A Formalization of Recursive Self-Optimizing Generative Systems](sources/a-formalization-of-recursive-self-optimizing-generative-systems.md) — 递归自优化生成系统的形式化定义与不动点结构 - -- [详细！离线部署大模型：ollama+deepseek+open-webui安装使用方法及常见问题解决](sources/详细-离线部署大模型-ollama-deepseek-open-webui安装使用方法及常见问题解决.md) — 本地离线部署 Ollama + DeepSeek + Open-WebUI 全流程指南（Docker 部署、模型离线下载、API 配置） - -- [Designing for Agentic AI](sources/designing-for-agentic-ai.md) — AI Agent 产品设计的五大最佳实践（透明度、控制力、个性化、对话、预判） - -- [Google 神级生产力工具，所有 GitHub 开源平替都找到了](sources/Google-神级生产力工具-所有-GitHub-开源平替都找到了.md) — 7 款 NotebookLM 开源平替工具汇总（Open Notebook、SurfSense、Podcastfy 等） - -- [文字生成视频网站推荐](sources/文字生成视频网站推荐.md) — 5 款文字生成视频 AI 工具评测（万彩AI、百度AI、Zeemo、Vizard、快影） - -- [LLMs、RAG、AI Agent 三个到底什么区别？](sources/LLMs-RAG-AI-Agent-san-ge-dao-di-shen-me-qu-bie.md) — LLM、RAG、AI Agent 三者区别与组合架构（思考用 LLM、认知用 RAG、执行用 Agent） - -- [OpenAI ChatGPT 个性化定义](sources/OpenAI-ChatGPT-个性化定义.md) — ChatGPT 个性化配置与自定义指令设置 - -- [The Picture They Paint of You](sources/The-Picture-They-Paint-of-You.md) — AI SRE 与编码助手的市场营销定位差异，揭示技术行业对不同角色的认知偏差 - -- [Best 7 news API data feeds - AI News](sources/best-7-news-api-data-feeds-ai-news.md) — 7 款主流新闻 API 数据源对比与选型指南 - -- [Claude Prompt 库汇总](sources/Claude-Prompt-库汇总.md) — Claude AI 助手提示词库的功能分类与推荐（95个提示词模板） - -- [不会Gemini的产品经理真的要被淘汰了 | 附保姆级PRD生成指南](sources/不会Gemini的产品经理真的要被淘汰了-附保姆级PRD生成指南.md) — AI 时代产品经理的能力重塑，Gemini 赋能 PRD 文档生成 - -- [我用 Gemini 3 一口气做了 10 个应用，附教程](sources/我用-Gemini-3-一口气做了-10-个应用-附教程.md) — 使用 Gemini 3 开发 10 个创意应用的方法论与实战案例 - -- [3.2 万人收藏的 Claude Skills，才是 AI 这条路上最值得研究的一套范式！](sources/3-2-wan-ren-shou-cang-de-claude-skills-ai-zhe-tiao-lu-shang-zui-zhi-de-yan-jiu-de-yi-tao-fan-shi.md) — Claude Skills 范式介绍与资源汇总（官方仓库、Awesome 仓库、Skill 聚合站） - -- [宝玉 Claude Code 技能集](sources/baoyu-skills-claude-code-技能集.md) — Claude Code/AI Agent 技能集成的安装与使用方法（内容生成、AI 图像生成、工具类自动化） - -- [GitHub 上 5000 人收藏的 Vibe Coding 神级指南](sources/github-5000-ren-shou-cang-de-vibe-coding-shen-ji-zhi-nan.md) — vibe-coding-cn 中文指南项目介绍 - -- [系统提示词构建原则](sources/xi-tong-ti-shi-ci-gou-jie-yuan-ze.md) — AI 编码助手的系统级 Prompt 设计原则（六维度：身份行为、沟通、任务执行、技术规范、安全防护、工具使用） - -- [如何写出完美的Prompt（提示词）？](sources/如何写出完美的Prompt-提示词-.md) — Prompt 能力是职场底层技能，包含需求拆解、结构化表达、场景共情、迭代优化四个维度 - -- [Nano-Banana Pro 提示词指南与策略](sources/nano-banana-pro-prompting-guide-strategies-1.md) — Google Nano-Banana Pro 图像生成模型的专业级提示词设计指南（10大核心能力、4条黄金法则） - -- [大模型相关术语和框架总结｜LLM、MCP、Prompt、RAG、vLLM、Token、数据蒸馏](sources/大模型相关术语和框架总结-LLM-MCP-Prompt-RAG-vLLM-Token-数据蒸馏.md) — 大模型领域核心术语科普（LLM、MCP、Agent、RAG、embedding、vLLM、Token、数据蒸馏） - -- [AI 解决方案专家培训课程](sources/AI-解决方案专家培训课程.md) — Coze 平台 AI Agent 开发实战培训，覆盖金融、医疗、教育、电商等 7 大行业 - -- [如何利用Sora接口实现视频自动化生成工作流](sources/如何利用Sora接口实现视频自动化生成工作流.md) — 利用 Sora 接口和 n8n 实现视频生成的自动化工作流 - -- [GOG-CLI 安装配置指南](sources/GOG-CLI-安装配置指南.md) — 在 macOS 系统上安装和配置 gog CLI，管理 Google Workspace 六大服务 - -- [Install WSL](sources/install-wsl.md) — Windows 上使用 wsl --install 命令一键安装 Linux 子系统 - -- [实战笔记：本地部署 RSSHub 并获取 YouTube 订阅](sources/实战笔记-本地部署-RSSHub-并获取-YouTube-订阅.md) — 在 Ubuntu Server 上通过 Docker 部署 RSSHub 并配置 YouTube Data API - -- [Mac 必装软件清单](sources/Mac-必装软件清单-2026-04-17.md) — Mac 效率软件推荐，从 Windows 转 Mac 用户必备工具 -- [WSL2 启动与网络配置指南](sources/WSL2-启动与网络配置指南.md) — WSL2 在 Windows 上的安装、配置与网络问题解决（镜像网络模式、代理配置） - -- [Blogwatcher Daily 技能收藏](sources/blogwatcher-daily-shou-cang.md) — RSS 订阅监控与每日摘要生成自动化 - -- [CTP Topic 14 Octane Hub on AWS Real life experience](sources/ctp-topic-14-octane-hub-on-aws-real-life-experience.md) — Octane Hub 将生产服务迁移到 AWS 的真实经验分享 - -- [CTP Topic 13 Cloud FinOps Micro Focus Policies best practices to optimize the costs](sources/ctp-topic-13-cloud-finops-micro-focus-policies-best-practices-to-optimize-the-co.md) — 云 FinOps 最佳实践，PCG 成本管理三层服务、标签合规、Reserved Instances 集中管理 - -- [CTP Topic 4 Using Agile to run the Cloud Transformation Program](sources/ctp-topic-4-using-agile-to-run-the-cloud-transformation-program.md) — 云转型计划中的敏捷实践应用，从 Scrum 过渡到 Kanban 的混合模式 - -- [CTP Topic 28 AWS Tag Validation Tool](sources/ctp-topic-28-aws-tag-validation-tool.md) — AWS 标签验证工具，用于审计资源标签合规性 - -- [CTP Topic 30 Managing Change](sources/ctp-topic-30-managing-change.md) — 云转型项目中的变更管理流程，SRE 角色和三种变更类型 - -- [CTP Topic 22 Global DNS service offerings](sources/ctp-topic-22-global-dns-service-offerings.md) — AWS 云 DNS 服务架构与混合云 DNS 设计方案 - -- [CTP Topic 23 Introduction to the Technical Architecture team and function](sources/ctp-topic-23-introduction-to-the-technical-architecture-team-and-function.md) — 技术架构团队职能、组织架构及云转型价值 - -- [CTP Topic 18 Wide Area Networking in AWS Cloud](sources/ctp-topic-18-wide-area-networking-in-aws-cloud.md) — AWS 云广域网架构设计，Transit Gateway、SD-WAN、Prisma Access SASE - -- [CTP Topic 19 Configuring DNS within AWS LZs](sources/ctp-topic-19-configuring-dns-within-aws-lzs.md) — AWS Landing Zone 多账号环境下 DNS 集中化管理 - -- [CTP Topic 20 Program demand process flow and PoC onboarding](sources/ctp-topic-20-program-demand-process-flow-and-poc-onboarding.md) — CTP 程序需求流程与 POC 入站流程，Gate 审批机制 - -- [CTP Topic 21 Supply Chain Security in Micro Focus](sources/ctp-topic-21-supply-chain-security-in-micro-focus.md) — Micro Focus 软件供应链安全的新方法，将供应链安全作为 SDL 第五大支柱 - -- [CTP Topic 24 Micro Focus Product Privacy Framework](sources/ctp-topic-24-micro-focus-product-privacy-framework.md) — Micro Focus 产品隐私框架，将 GDPR/CCPA 法律条款翻译为约 110 项技术要求 - -- [CTP Topic 66 Exposing the differences between PostgreSQL RDS and Aurora](sources/ctp-topic-66-exposing-the-differences-between-postgresql-rds-and-aurora.md) — PostgreSQL on RDS 与 Aurora 的详细对比（架构、性能、成本、故障切换） - -- [CTP Topic 72 Implementing an Enterprise DR Strategy using AWS Backup](sources/ctp-topic-72-implementing-an-enterprise-dr-strategy-using-aws-backup.md) — 使用 AWS Backup 实现企业级灾难恢复策略 - -- [CTP Topic 73 AWS Backup implementation of the Cloud Transformation Program](sources/ctp-topic-73-aws-backup-implementation-of-the-cloud-transformation-program.md) — AWS Backup 在 CTP 云转型计划中的实施 - -- [CTP Topic 65 Tracing the value delivered in Cloud Transformation](sources/ctp-topic-65-tracing-the-value-delivered-in-cloud-transformation.md) — CTP 工作中的价值交付量化与优先级排序方法 - -- [CTP Topic 68 Introduction to Redshift](sources/ctp-topic-68-introduction-to-redshift.md) — AWS Redshift 数据仓库架构与核心组件（MPP、列式存储、Leader Node、Compute Node） - -- [CTP Topic 69 Best Practices for Migrating On-Premises (IOD) Virtual Machines to VMware Cloud on AWS](sources/ctp-topic-69-best-practices-for-migrating-on-premises-iod-virtual-machines-to-vm.md) — 将本地虚拟机迁移到 VMware Cloud on AWS 的最佳实践（HCX、Direct Connect、CCOE） - -- [Learning Sessions ECS Deployment using IAC - 20230808](sources/learning-sessions-ecs-deployment-using-iac-20230808-183322-meeting-recording.md) — ECS 容器服务 IaC 部署，JP 和 Raja M 讲解 ECS 模块、Listener 集中管理、自动扩展和修复 - -- [CTP Topic 70 EKS Deployment using IAC](sources/ctp-topic-70-eks-deployment-using-iac.md) — 通过基础设施即代码（IaC）方式部署 EKS 集群，使用 Terraform 和 Service Catalog 两种方式 - -- [CTP Topic 64 Scaling out with Amazon EKS](sources/ctp-topic-64-scaling-out-with-amazon-eks.md) — Amazon EKS 水平扩展与垂直扩展机制，涵盖 HPA、KEDA、Karpenter、Cluster Autoscaler、IPv6 网络解决方案 - -- [CTP Topic 59 Achieving reliability with Amazon EKS](sources/ctp-topic-59-achieving-reliability-with-amazon-eks.md) — Amazon EKS 可靠性实践，涵盖容器服务选型、共享责任模型、应用/控制/数据平面三层可靠性设计 - -## Sources -- [CTP Topic 39 Implementing EKS in the AWS Lab Landing Zone](sources/ctp-topic-39-implementing-eks-in-the-aws-lab-landing-zone.md) — 在 AWS Lab Landing Zone 中实现 EKS 集群部署 - -- [CTP Topic 17 Active Directory Services in Gruntwork AWS LZs](sources/ctp-topic-17-active-directory-services-in-gruntwork-aws-lzs.md) — 在 Gruntwork AWS Landing Zones 中集成 Active Directory 服务实践 - -- [CTP Topic 25 Labs Landing Zone overview - ITOM teams](sources/ctp-topic-25-labs-landing-zone-overview-itom-teams.md) — Labs Landing Zone 架构概述，基于 Gruntwork reference architecture - -- [CTP Topic 51 Architecting with AWS Purpose-Built Databases](sources/ctp-topic-51-architecting-with-aws-purpose-built-databases.md) — AWS 专用数据库架构，选择合适的数据库服务 - -- [CTP Topic 52 3 Lines of Defence (3LoD) framework Cloud Security Posture Management (CSPM)](sources/ctp-topic-52-3-lines-of-defence-3lod-framework-cloud-security-posture-management.md) — 三道防线（3LoD）框架与云安全态势管理（CSPM），Cloud Guard 统一监控 - -- [CTP Topic 47 Enterprise Architecture Cloud Standards](sources/ctp-topic-47-enterprise-architecture-cloud-standards.md) — 企业云架构标准、Landing Zone 框架与 Cloud Guardrails - -- [CTP Topic 45 Automatic IP address allocation with IPAM](sources/ctp-topic-45-automatic-ip-address-allocation-with-ipam.md) — 使用 Infoblox NIOS 实现 VPC IP 地址自动化分配 - -- [CTP Topic 61 Workload VPC provision with IPAM Automation](sources/ctp-topic-61-workload-vpc-provision-with-ipam-automation.md) — IPAM 与 Workload VPC 自动化 provisioning，YAML 配置、审批流程 - -- [CTP Topic 43 VMware Cloud on AWS](sources/ctp-topic-43-vmware-cloud-on-aws.md) — VMware 和 AWS 联合云服务，在 AWS 硬件上原生运行 vSphere 8 - -- [CTP Topic 41 NFR's and Error Budgets](sources/ctp-topic-41-nfrs-and-error-budgets.md) — NFR（非功能需求）与 Error Budget（错误预算）在云和敏捷开发中的应用，SRE 实践 - -- [CTP Topic 53 Why bother with Cloud](sources/ctp-topic-53-why-bother-with-cloud.md) — Micro Focus 云转型计划进展与价值分析，成本优化与创新机会 - -- [CTP Topic 57 Product backlog managing demand](sources/ctp-topic-57-product-backlog-managing-demand.md) — Product Backlog 管理需求流程，SMACs 提交、Octane 入池、前置条件阶段 - -- [CTP Topic 60 Monitor AWS using Hyperscale Observability with Grafana](sources/ctp-topic-60-monitor-aws-using-hyperscale-observability-with-grafana.md) — AWS 云监控与 Grafana 可观测性平台集成，Dashboard-as-Code，Terraform 模块自动化 - -- [CTP Topic 12 Using SES SMTP service terraform module](sources/ctp-topic-12-using-ses-smtp-service-terraform-module.md) — 利用 AWS SES SMTP Terraform 模块实现云端邮件发送，VPC 终端节点配置 - -- [CTP Topic 62 AWS Secrets Manager](sources/ctp-topic-62-aws-secrets-manager.md) — AWS Secrets Manager 企业级敏感信息管理，分阶段实施方法（集中化→自动化获取→轮换），Lambda 数据库密码轮换 - -- [CTP Topic 54 ESM SaaS Log Analytics](sources/ctp-topic-54-esm-saas-log-analytics.md) — ESM SaaS Log Analytics（日志分析）架构与实践，ELK Stack/OpenSearch，BEATS 采集，VPC 私有传输，安全加密，成本对比 - -- [CTP Topic 55 AWS Firewall Manager](sources/ctp-topic-55-aws-firewall-manager.md) — AWS Firewall Manager 多账号安全策略集中管理，跨 Landing Zone 安全组统一配置与自动修复 - -- [CTP Topic 56 Automated Infrastructure Testing](sources/ctp-topic-56-automated-infrastructure-testing.md) — 自动化基础设施测试，TerraTest 框架和测试驱动开发在 IaC 中的应用 - -## Sources -- [CTP Topic 31 Network Segregation and Secure Access to AWS Landing Zones](sources/ctp-topic-31-network-segregation-secure-access-aws-landing-zones.md) — AWS Landing Zone 网络隔离与安全访问解决方案 - -- [CTP Topic 32 Using Atlantis CICD for Infrastructure Deployments](sources/ctp-topic-32-using-atlantis-cicd-for-infrastructure-deployments.md) — Atlantis 替代 Jenkins 进行基础设施自动化部署，开源自托管 Terraform CI/CD 工具 - -- [CTP Topic 33 An introduction to GitOps](sources/ctp-topic-33-an-introduction-to-gitops.md) — GitOps 方法论，四大原则（声明式配置、版本控制、CD 流程分离、增量基础设施），与 DevOps 的关系，Pull Model vs Push Model - -- [CTP Topic 15 Working with Renovatebot](sources/ctp-topic-15-working-with-renovatebot.md) — 利用 Renovate Bot 自动化管理云原生基础设施中的依赖项更新，支持 Terraform、Terragrunt、Docker 等技术栈 - -- [CTP Topic 40 SaaS Database Architecture On AWS Cloud](sources/ctp-topic-40-saas-database-architecture-on-aws-cloud.md) — AWS 云上 SaaS 数据库架构，SaaS 数据库团队全球运维实践 - -- [Learning Sessions Standard AMIs Updates 20231205](sources/learning-sessions-standard-amis-updates-20231205-160324-meeting-recording-2.md) — AWS Standard AMIs 概述、更新和发布流程（每两个月发布、支持 23 种操作系统） - -- [Public Cloud Learning Sessions (OpenText) - GitHub Enterprise to GitLab migration](sources/public-cloud-learning-sessions-opentext-github-enterprise-to-gitlab-migration-20.md) — OpenText 将代码仓库从 GitHub Enterprise 迁移到 GitLab，self-serve 模式 - -- [Public Cloud Learning Sessions (OpenText) - Thor Platform & Flows](sources/public-cloud-learning-sessions-opentext-thor-platform-flows-20241210-160056-meet.md) — Project Thor 平台架构与供应链数据流介绍 - -- [Public Cloud Learning Sessions (OpenText) - Evolving from DR to Recovery Assurance](sources/public-cloud-learning-sessions-opentext-evolving-from-dr-to-recovery-assurance-2.md) — DR 向 Recovery Assurance 演进，SRE 和可观测性工程实践 - -- [Public Cloud Learning Sessions (OpenText) - Product Hub (PHT) Overview and Q&A](sources/public-cloud-learning-sessions-opentext-product-hub-pht-overview-and-qa-20240806.md) — Product Hub (PHT) 产品层级追踪器概述，包括产品请求流程、层级结构和外部系统集成 - -- [Public Cloud Learning Sessions - OpenText Tagging Standard V2](sources/public-cloud-learning-sessions-opentext-tagging-standard-v2-20250429-170111-meet.md) — OpenText 标签标准 V2，涵盖云资源、Kubernetes 对象和容器镜像的标签规范 - -- [Public Cloud Learning Sessions - Tagging Standards for all hyperscalers](sources/public-cloud-learning-sessions-tagging-standards-for-all-hyperscalers-20240123-1.md) — 2024 年 1 月 OpenText 标签标准 V1，建立跨 AWS、GCP、Azure 统一标签体系 - -- [Learning Sessions Identity Governance VSM Replacement](sources/learning-sessions-identity-governance-vsm-replacement-20231128-160326-meeting-re.md) — 身份治理（Identity Governance）以及用 IGA 替换 VSM（Virtual Service Manager）的计划 - -- [Public Cloud Learning Sessions - Applicable Business Analysis Techniques](sources/Public-Cloud-Learning-Sessions-Applicable-Business-Analysis-Techniques-20240109.md) — OpenText 业务分析技术学习会议，介绍 BOSCARD、相关方轮盘和需求收集方法 - -- [Public Cloud Learning Sessions - Storage Cost Optimization](sources/public-cloud-learning-sessions-storage-cost-optimization-20240305.md) — AWS 存储服务（EBS、EFS、FSx、S3）成本优化最佳实践，包括存储类型选择、生命周期策略和智能分层 - -- [Public Cloud Learning Sessions - AWS End User Compute Services](sources/public-cloud-learning-sessions-aws-end-user-compute-services-20240430.md) — AWS 终端用户计算（EUC）服务介绍，涵盖 Workspaces 和 AppStream 2.0 - -- [Public Cloud Learning Sessions - Budget Control - 20240319](sources/Public-Cloud-Learning-Sessions-Budget-Control.md) — AWS账户预算控制自动化，提供账户所有者详细的支出警报和成本分析报告，实现成本控制 - -- [CTP Topic 1 Gruntwork Landing Zone Architecture](sources/ctp-topic-1-gruntwork-landing-zone-architecture.md) — 基于 Gruntwork 的 AWS Landing Zone 架构设计 - -- [CTP Topic 2 Git](sources/ctp-topic-2-git.md) — Git 版本控制系统基础与 DevOps 实践 - -- [CTP Topic 3 Deploy and maintain infrastructure](sources/ctp-topic-3-deploy-and-maintain-infrastructure.md) — CTP 云转型计划基础设施部署与维护，Terraform、Terragrunt、模块和服务目录在 Landing Zone 架构下的使用 - -- [CTP Topic 10 AWS Landing Zone (LZ) Data Collection, Tagging Related Security](sources/ctp-topic-10-aws-landing-zone-lz-data-collection-tagging-related-security.md) — AWS Landing Zone 部署流程、数据收集策略、基于标签的安全控制机制 - -- [Public Cloud Learning Sessions (OpenText) - GIS Security Policies](sources/public-cloud-learning-sessions-opentext-gis-security-policies-20241015-160257-me.md) — OpenText 全球信息安全团队（GIS）的安全策略框架与组织结构 - -- [Public Cloud Learning Sessions (OpenText) - Serverless Computing](sources/Public-Cloud-Learning-Sessions-OpenText-Serverless-Computing-20240903.md) — AWS 无服务器计算（Lambda、Step Functions、API Gateway、SAM） - -- [Public Cloud Learning Sessions (OpenText) - Generative AI & Prompt Engineering](sources/public-cloud-learning-sessions-opentext-generative-ai-prompt-engineering-20241112.md) — AWS 生成式 AI 服务与提示词工程基础 - -- [Public Cloud Learning Sessions (OpenText) - AI Use Cases - 20241126](sources/public-cloud-learning-sessions-opentext-ai-use-cases-20241126.md) — AWS AI 专家分享企业级 AI 应用案例与实践 - -- [Public Cloud Learning Sessions (OpenText) - Event Driven Architecture - Part 1](sources/public-cloud-learning-sessions-opentext-event-driven-architecture-part-1-2024091.md) — 事件驱动架构（EDA）介绍，Amazon EventBridge、SQS、SNS -- [Public Cloud Learning Sessions (OpenText) - Event Driven Architecture - Part 2](sources/public-cloud-learning-sessions-opentext-event-driven-architecture-part-2-2024091.md) — 事件驱动架构（EDA）最佳实践与团队独立性 - -- [CTP Topic 35 AWS Landing Zone Design Refresher (SaaS Labs)](sources/ctp-topic-35-aws-landing-zone-design-refresher-saas-labs.md) — AWS Landing Zone 设计更新，SaaS（生产）与 Labs（开发）环境区分 - -- [CTP Topic 8 Implementation of Cloud monitoring using Micro Focus Operations Bridge](sources/ctp-topic-8-implementation-of-cloud-monitoring-using-micro-focus-operations-bridge.md) — 使用 Micro Focus Operations Bridge Manager (OBM) 实现 AWS 云监控的实施方案 - -- [CTP Topic 29 Cloud Monitoring – SaaS LZ accounts](sources/ctp-topic-29-cloud-monitoring-saas-lz-accounts.md) — AWS 云监控解决方案 OpsBridge 在 SaaS Landing Zone 多账号环境中的应用 - -- [CTP Topic 7 SaaS Landing Zone Design](sources/ctp-topic-7-saas-landing-zone-design.md) — 生产环境 SaaS Landing Zone 高级设计，单一 Landing Zone 策略 - -- [CTP Topic 5 AWS Identity and Access Management (IAM)](sources/ctp-topic-5-aws-identity-and-access-management-iam.md) — AWS IAM 用户、组、角色和策略管理，联合访问与权限控制 - -- [CTP Topic 6 AWS Workspaces Demo](sources/ctp-topic-6-aws-workspaces-demo.md) — AWS Workspaces 远程桌面演示，预装 PF SSO、Terraform、TerraGrunt、Git、VS Code 等开发工具 - -- [CTP Topic 11 AD Integration and Login using AD accounts](sources/ctp-topic-11-ad-integration-and-login-using-ad-accounts.md) — Jenkins 与 AD 集成实现自动登录，以及 pre-commit 框架的 IaC 自动化安全检查 - -- [CTP Topic 9 CI CD with Gruntwork](sources/ctp-topic-9-ci-cd-with-gruntwork.md) — CI/CD 与 Gruntwork 集成 - -## Entities -- [MUI](entities/MUI.md) — 审批决策者之一，负责超大规模云服务商支出的书面审批 -- [Shannon](entities/Shannon.md) — 审批决策者之一，负责超大规模云服务商支出的书面审批 -- [FinOps Team](entities/FinOps-Team.md) — 负责 Oli 工作流管理的团队，正在将工作流过渡到其管理之下 -- [AWS Instance Scheduler](entities/AWS-Instance-Scheduler.md) — AWS 官方实例调度工具，通过定时启停 EC2 和 RDS 实例实现成本优化 -- [FPNA Team](entities/FPNA-Team.md) — 负责预算可用性验证的团队 -- [Atlantis](entities/Atlantis.md) — 开源自托管 Terraform CI/CD 工具，替代 Jenkins 进行基础设施自动化部署 -- [IAM (AWS Identity and Access Management)](entities/IAM-AWS-Identity-and-Access-Management.md) — AWS 身份和访问管理服务，控制 AWS 资源的访问权限 -- [CCOE](entities/CCOE.md) — Cloud Center of Excellence，推动云采纳和治理的核心组织单元 -- [AWS Firewall Manager](entities/AWS-Firewall-Manager.md) — AWS 集中安全管理服务，跨账户配置防火墙规则和安全策略 -- [CrowdStrike](entities/CrowdStrike.md) — 网络安全公司，2024年7月事件推动行业对DR的重视 -- [Martin Rosler](entities/Martin-Rosler.md) — OpenText 技术专家，OpenText Tagging Standard V2 演讲者 -- [Phenops](entities/Phenops.md) — OpenText 团队，2023 年发起标签标准化工作 -- [Jackie](entities/Jackie.md) — ITOM ESM SAS architect，CTP Topic 54 演讲者 -- [SolarWinds Hack](entities/SolarWinds-Hack.md) — 著名供应链攻击事件，黑客通过构建过程注入后门 -- [Shlomi Ben-Hur](entities/Shlomi-Ben-Hur.md) — Micro Focus 产品安全专家，主讲供应链安全 -- [Ashish](entities/Ashish.md) — Micro Focus 产品安全组安全专家，主讲容器生命周期加固 -- [Coyote](entities/Coyote.md) — Head of Enterprise Application Security，三道防线框架与 CSPM 主讲人 -- [Cloud Guard](entities/Cloud-Guard.md) — CSPM 云安全态势管理解决方案 -- [OpenText](entities/OpenText.md) — 企业内容管理软件公司，主办 Public Cloud Learning Sessions -- [OpsBridge](entities/OpsBridge.md) — OpenText 内部监控平台，接收 Grafana 告警并创建事件 -- [Optic DR](entities/Optic-DR.md) — OpenText 内部监控数据源插件，将数据拉入 Grafana 仪表板 -- [Arnold Dacan](entities/Arnold-Dacan.md) — OpenText 技术专家，Project Thor 演讲者 -- [Kishore Garlopati](entities/Kishore-Garlopati.md) — Azure Landing Zone 技术分享主讲人 -- [Pradeep](entities/Pradeep.md) — AWS Landing Zone 技术分享主讲人，Checkpoint 防火墙专家 -- [Holger Rode](entities/Holger-Rode.md) — Octane Hub CTO 软件工厂团队负责人 -- [Heather Norris](entities/Heather-Norris.md) — 云转型计划（CTP）项目经理，敏捷实践演讲者 -- [Femi George](entities/Femi-George.md) — AWS 数据库销售专家，CTP Topic 51 主讲人 -- [Duolingo](entities/Duolingo.md) — 案例公司，使用 DynamoDB + ElastiCache + Aurora -- [Netflix](entities/Netflix.md) — 案例公司，使用 DynamoDB 存储 JSON 文档 -- [Peloton](entities/Peloton.md) — 案例公司，使用 ElastiCache Redis 提供即时反馈 -- [Mem0](entities/Mem0.md) — Camp 1 记忆后端领导者，53.1k stars -- [MemPalace](entities/MemPalace.md) — 本地优先逐字存储，46.2k stars -- [Supermemory](entities/Supermemory.md) — 时间感知记忆，21.8k stars -- [Zep](entities/Zep.md) — 重新定位为"上下文工程"，4.4k stars -- [Thoth](entities/Thoth.md) — 最复杂架构，145 stars，Dream Cycle -- [清华大学](entities/清华大学.md) — 中国顶尖大学，发布 DeepSeek 官方教程 -- [余梦珑](entities/余梦珑.md) — 清华大学博士后，《DeepSeek从入门到精通2025》手册作者 -- [营销人张飞宇](entities/营销人张飞宇.md) — 微信公众号作者，专注于个人品牌、商业变现方法论 -- [空格](entities/空格.md) — 微信公众号作者，专注于 AI 应用开发分享 -- [Mac Mini](entities/Mac-Mini.md) — Apple Mac Mini M4 主控节点，内网 IP 192.168.3.189 -- [RackNerd](entities/RackNerd.md) — VPS 服务提供商，提供公网 IP 192.227.222.142 -- [RDS](entities/RDS.md) — Amazon 托管关系数据库服务，支持 MySQL、PostgreSQL、Oracle 等多种引擎 -- [Synology NAS DS718](entities/Synology-NAS-DS718.md) — 群晖 2 盘位 NAS，内网 IP 192.168.3.17 -- [HP](entities/HP.md) — 惠普公司，全球知名 IT 设备制造商 -- [Homarr](entities/Homarr.md) — 开源仪表板应用，集成多种服务入口 -- [HP ZBook](entities/HP-ZBook.md) — HP 工作站级笔记本产品线 -- [Bandwagon](entities/Bandwagon.md) — VPS 服务提供商 -- [VPS2](entities/VPS2.md) — 运行在 Bandwagon 上的虚拟专用服务器 -- [v2rayN](entities/v2rayN.md) — Windows/Linux 代理客户端 -- [v2rayNG](entities/v2rayNG.md) — Android 代理客户端 -- [Apache](entities/Apache.md) — Apache 软件基金会，全球最大的开源软件基金会之一 -- [Apache Superset](entities/Apache-Superset.md) — Apache 软件基金会旗下的开源 BI 平台 -- [BMC](entities/BMC.md) — 企业软件和云解决方案提供商 -- [NetApp](entities/NetApp.md) — 企业级存储解决方案提供商，Cloud Volume ONTAP (CVO) 产品 -- [AWS](entities/AWS.md) — 全球最大公有云平台（EKS、RDS、S3、Lambda 等） -- [AWS Redshift](entities/AWS-Redshift.md) — Amazon 提供的 PB 级云端数据仓库服务，支持 OLAP -- [Leader Node](entities/Leader-Node.md) — Redshift 集群的领导节点，负责查询规划和结果返回 -- [Compute Node](entities/Compute-Node.md) — Redshift 架构中的计算节点，执行实际查询 -- [Aurora](entities/Aurora.md) — Amazon 自研云原生关系型数据库，6 个 EBS 卷跨 3 个 AZ -- [Amazon DynamoDB](entities/Amazon-DynamoDB.md) — 键值和文档数据库，单数字毫秒延迟，支持每日数万亿请求 -- [Amazon DocumentDB](entities/Amazon-DocumentDB.md) — MongoDB 兼容文档数据库 -- [Amazon ElastiCache](entities/Amazon-ElastiCache.md) — 内存数据库（Redis、Memcached） -- [Amazon Neptune](entities/Amazon-Neptune.md) — 图形数据库 -- [Amazon Timestream](entities/Amazon-Timestream.md) — 时序数据库，专为 IoT 设计 -- [Amazon Keyspaces](entities/Amazon-Keyspaces.md) — Apache Cassandra 托管服务 -- [Gruntwork](entities/Gruntwork.md) — Gruntwork Landing Zones 框架提供商，定义 R&D 和 SAS 环境域名规范 -- [Infoblox](entities/Infoblox.md) — 企业级 DNS/DHCP 和 IPAM 解决方案提供商 -- [Active-Directory](entities/Active-Directory.md) — Microsoft 目录服务，提供 DNS 和身份验证 -- [Jenkins](entities/Jenkins.md) — 开源自动化服务器，用于 CI/CD，Shared Account 托管主 Jenkins 服务器 -- [swinford.net](entities/swinford-net.md) — R&D Labs 环境 Active Directory 域名 -- [intsas.local](entities/intsas-local.md) — SAS 生产环境 Active Directory 域名 -- [Route 53](entities/Route-53.md) — AWS DNS 服务，每个产品拥有独立托管区域 -- [Active Directory](entities/Active-Directory.md) — Microsoft 目录服务，提供身份验证和资源访问控制 -- [MIM](entities/MIM.md) — R&D 环境的安全组管理和权限申请自助服务解决方案 -- [SMACKS Ticket](entities/SMACKS-Ticket.md) — 内部服务管理工单系统，用于生产环境账号申请和密码重置 -- [GCP](entities/GCP.md) — Google Cloud Platform（GKE、GCS、Cloud SQL 等） -- [Azure](entities/Azure.md) — Microsoft 公有云平台（AKS、Cosmos DB 等） -- [Kubernetes](entities/Kubernetes.md) — CNCF 开发的开源容器编排平台 -- [Terraform](entities/Terraform.md) — HashiCorp 开发的开源 IaC 工具 -- [CloudFormation](entities/CloudFormation.md) — AWS 的 IaC 服务 -- [Pulumi](entities/Pulumi.md) — 使用通用编程语言的基础设施即代码工具 -- [StackSets](entities/StackSets.md) — CloudFormation 跨账号跨区域部署功能 -- [EventBridge](entities/EventBridge.md) — AWS 无服务器事件总线服务 -- [CloudWatch](entities/CloudWatch.md) — AWS 监控和可观测性服务 -- [AWS Organizations](entities/AWS-Organizations.md) — AWS 账户管理服务 -- [AWS RAM](entities/AWS-RAM.md) — AWS 资源共享管理器，用于跨账号共享资源 -- [KMS](entities/KMS.md) — AWS 密钥管理服务 -- [AIOps](entities/AIOps.md) — AI 运维平台，利用 AI/ML 技术实现运维自动化 -- [AI SRE](entities/AI-SRE.md) — 使用 AI 自动化站点可靠性工程任务的工具 -- [CMDB](entities/CMDB.md) — 配置管理数据库，存储和管理 IT 基础设施配置项 -- [ISO 27001](entities/ISO-27001.md) — 信息安全管理系统国际标准 -- [HIPAA](entities/HIPAA.md) — 美国健康保险便携性和责任法案 -- [GDPR](entities/GDPR.md) — 欧盟通用数据保护条例 -- [Open Alliance for Cloud Adoption (OACA)](entities/Open-Alliance-for-Cloud-Adoption-OACA.md) — 提出云成熟度模型定义的组织 -- [Cloud Technology Design Forum](entities/Cloud-Technology-Design-Forum.md) — 微焦点内部云架构标准化组织 -- [GitHub](entities/GitHub.md) — 全球最大代码托管平台 -- [OWASP](entities/OWASP.md) — Web 安全标准和 Top Ten 漏洞列表 -- [SonarQube](entities/SonarQube.md) — 开源代码质量和安全分析平台 -- [rsync](entities/rsync.md) — Linux 增量同步工具 -- [NFS](entities/NFS.md) — 网络文件系统协议 -- [NAS](entities/NAS.md) — 网络附加存储 -- [Clonezilla](entities/Clonezilla.md) — 开源磁盘镜像备份工具 -- [Netgear](entities/Netgear.md) — 路由器和网络设备制造商 -- [RAX50](entities/RAX50.md) — 网件 AX4200 WiFi 6 路由器型号 -- [SendGrid](entities/SendGrid.md) — Twilio 旗下的企业级邮件服务，CTP 标准邮件方案 - -- [KoolCenter](entities/KoolCenter.md) — 梅林固件官方下载服务器 -- [MerlinClash](entities/MerlinClash.md) — 基于 Clash 的梅林固件科学上网插件 -- [Transmission](entities/Transmission.md) — 开源 BT 下载客户端 -- [LinuxServer.io](entities/LinuxServer-io.md) — 开源 Docker 镜像维护社区 -- [OpenSSH](entities/OpenSSH.md) — 开源 SSH 协议实现，提供安全远程登录 -- [UFW](entities/UFW.md) — Ubuntu 默认防火墙管理工具 -- [systemd](entities/systemd.md) — Linux 系统和服务管理器 -- [Rufus](entities/Rufus.md) — 开源 USB 启动盘制作工具 -- [n8n](entities/n8n.md) — 开源工作流自动化工具 -- [n8n-mcp](entities/n8n-mcp.md) — 连接 n8n 与 AI 模型的桥接项目，提供 543 个 n8n 节点访问能力 -- [PostgreSQL](entities/PostgreSQL.md) — 开源关系型数据库 -- [FastAPI](entities/FastAPI.md) — 现代 Python Web 框架 -- [MinIO](entities/MinIO.md) — S3 兼容对象存储 -- [AdsPower](entities/AdsPower.md) — 指纹浏览器，用于多账号管理和环境隔离 -- [Airtable](entities/Airtable.md) — 在线数据库工具，常用于 AI Agent 的数据存储和库存管理 -- [AI Foundations](entities/AI-Foundations.md) — AI 学习社区，提供课程和协作资源 -- [Anthropic](entities/Anthropic.md) — AI 公司，开发 Claude 和官方 Skills 仓库 -- [Claude](entities/Claude.md) — Anthropic 公司开发的 AI 聊天助手 -- [Canva](entities/Canva.md) — 在线设计工具，2025年推出 AI 问答功能，支持中文简报生成 -- [Gamma](entities/Gamma.md) — AI 简报工具，专注于图文并茂的专业效果 -- [MiniMax-M2.7](entities/MiniMax-M2.7.md) — 中国 MiniMax 公司开发的大语言模型，200K context window -- [ElevenLabs](entities/ElevenLabs.md) — 国际顶流AI配音工具，支持30+语言和情感语音 -- [海螺AI](entities/海螺AI.md) — MiniMax 出品的AI配音工具，30秒克隆声音，免费 -- [F5-TTS](entities/F5-TTS.md) — 开源TTS项目，2秒音频克隆，支持本地部署 -- [TTSMaker](entities/TTSMaker.md) — 免费AI配音，每周3万字转换，300+音色 -- [剪映](entities/剪映.md) — 抖音官方视频剪辑工具，AI配音功能 -- [魔音工坊](entities/魔音工坊.md) — 企业级AI配音平台，500+音色 -- [AnyVoice](entities/AnyVoice.md) — 免费声音克隆工具，3秒克隆 -- [超达物流](entities/超达物流.md) — 跨境电商物流服务商，提供 UIN 渠道和 TK 平台物流服务 -- [抖音](entities/抖音.md) — 字节跳动旗下短视频平台 -- [WildCard](entities/WildCard.md) — 虚拟信用卡，解决海外支付问题 -- [PingMe](entities/PingMe.md) — 短信接码平台，提供美国区号码 -- [Synology](entities/Synology.md) — 群晖科技，NAS 设备制造商 -- [Jellyfin](entities/Jellyfin.md) — 开源媒体服务器软件 -- [V2RayA](entities/V2RayA.md) — V2Ray 管理面板，专注于透明代理功能 -- [V2Ray](entities/V2Ray.md) — 代理软件核心，支持多种协议 -- [阿里云盘](entities/阿里云盘.md) — 阿里巴巴云存储服务 -- [Plex](entities/Plex.md) — 媒体服务器软件，支持视频刮削和多设备播放 -- [Prismer](entities/Prismer.md) — Docker 容器化 LaTeX 编译环境，提供完整 TeX Live 服务 -- [OpenClaw](entities/OpenClaw.md) — AI Agent 管理工具 -- [Open Notebook](entities/Open-Notebook.md) — GitHub Star 最高的 NotebookLM 开源平替（14.6k） -- [SurfSense](entities/SurfSense.md) — 开源 AI 搜索与研究智能体（11.4k Star） -- [Podcastfy](entities/Podcastfy.md) — 专注于播客生成的 AI 工具 -- [PageLM](entities/PageLM.md) — 将学习材料转化为互动式资源的教育平台 -- [AionUi](entities/AionUi.md) — 桌面端 AI Agent 协同工作应用，内置 OpenClaw 部署专家 -- [NodeWarden](entities/NodeWarden.md) — 运行于 Cloudflare Workers 的 Bitwarden 兼容服务器 -- [NotebookLM](entities/NotebookLM.md) — Google 的 AI 笔记和研究助手，核心特色是 source-grounding -- [BrightData](entities/BrightData.md) — 网页数据采集服务提供商 -- [Decopy](entities/Decopy.md) — AI 摘要生成工具 -- [WaveSpeed](entities/WaveSpeed.md) — AI 图像和视频处理平台 -- [XAR GPT](entities/XAR-GPT.md) — 大脑类 AI 工具，负责分镜拆解 -- [GEMALA](entities/GEMALA.md) — 大脑类 AI 工具，负责视频逻辑分析 -- [KAI](entities/KAI.md) — 动效类 AI 工具，支持首尾针动画生成 - -- [Bitwarden](entities/Bitwarden.md) — 开源密码管理解决方案 - -- [baoyu](entities/baoyu.md) — Claude Code 技能集 baoyu-skills 的作者 - -- [ClawHub](entities/ClawHub.md) — Claude Code/OpenClaw 技能发布和管理平台 - -- [Cloudflare](entities/Cloudflare.md) — CDN、DNS 和无服务器云服务提供商 -- [Appinn](entities/Appinn.md) — 小众软件分享网站 -- [AITmpl](entities/AITmpl.md) — Claude Code 模板资源网站，提供 Skills/Agents/MCP 模板 -- [Alex Finn](entities/Alex-Finn.md) — YouTube 创作者，关于 OpenClaw 用例视频的作者 -- [Nicholas Carlini](entities/Nicholas-Carlini.md) — Google 研究科学家，自主编码 Agent 方案的提出者 -- [苏东坡](entities/苏东坡.md) — 北宋文学家，第一个被思维蒸馏的历史人物，一生三起三落 -- [王维](entities/王维.md) — 唐代诗人、画家，被誉为"诗佛"，代表作"行到水穷处，坐看云起时" -- [老子](entities/老子.md) — 春秋时期思想家，道家学派创始人，《道德经》作者 -- [庄子](entities/庄子.md) — 战国时期道家代表人物，《庄子》（《南华经》）作者 -- [佛陀](entities/佛陀.md) — 佛教创始人，古代印度王子，宣讲《金刚经》等经典 -- [曾国藩](entities/曾国藩.md) — 清代重臣、政治家，《治心经·诚心篇》作者 -- [女娲·Skill](entities/女娲-Skill.md) — 开源项目，实现人物思维蒸馏的技术框架 -- [RustDesk](entities/RustDesk.md) — 开源远程桌面软件，支持多平台远程控制 -- [GDM3](entities/GDM3.md) — GNOME Display Manager，Ubuntu 的登录管理器 -- [OpenCode](entities/OpenCode.md) — 开源 AI 编程助手，支持终端、桌面、IDE 三种使用形态 -- [Vibe-Kanban](entities/Vibe-Kanban.md) — AI Agent 管理工具，支持 Vibe Coding 工作流 -- [国家中小学智慧教育平台](entities/国家中小学智慧教育平台.md) — 中国教育部官方教育资源平台 -- [Obsidian](entities/Obsidian.md) — 基于 Markdown 的本地优先笔记软件 -- [印象笔记](entities/印象笔记.md) — 作者之前使用的笔记工具，存在"存而不读"问题 -- [Tasks 插件](entities/Tasks-插件.md) — Obsidian 任务管理插件 -- [Todoist](entities/Todoist.md) — 流行任务管理应用 -- [Telegram](entities/Telegram.md) — 即时通讯应用，提供 Bot API 用于消息推送和交互 -- [Google Sheets](entities/Google-Sheets.md) — Google 在线电子表格，用于数据可视化仪表盘 -- [Anki](entities/Anki.md) — 开源间隔重复闪卡程序 -- [Templater](entities/Templater.md) — Obsidian 动态模板插件 -- [Dataview](entities/Dataview.md) — Obsidian SQL 查询插件 -- [Spaced Repetition](entities/Spaced-Repetition.md) — Obsidian 间隔重复学习插件 -- [Kanban](entities/Kanban.md) — Obsidian 看板视图插件 -- [Projects](entities/Projects.md) — Obsidian 项目管理插件 -- [Outliner](entities/Outliner.md) — Obsidian 大纲视图插件 -- [Calendar](entities/Calendar.md) — Obsidian 日历视图插件 -- [DB Folder](entities/DB-Folder.md) — Obsidian 数据库文件夹插件 -- [Homepage](entities/Homepage.md) — Obsidian 主页插件 -- [File Explorer Note Count](entities/File-Explorer-Note-Count.md) — Obsidian 文件管理器笔记计数插件 -- [Reddit](entities/Reddit.md) — 社交新闻聚合网站，提供子版块热门帖子获取能力 - -- [Webz.io](entities/Webz-io.md) — 综合性新闻 API，覆盖开放网、深网和暗网 -- [GNews API](entities/GNews-API.md) — 轻量级全球新闻 API，适合小型应用 -- [The Guardian API](entities/The-Guardian-API.md) — 英国卫报官方 API，提供高质量编辑内容 -- [Bloomberg API](entities/Bloomberg-API.md) — 彭博金融数据服务，专注实时市场信息 -- [Financial Times API](entities/Financial-Times-API.md) — 金融时报官方 API，提供高端商业和经济洞察 -- [Opoint](entities/Opoint.md) — 媒体监控与情绪分析平台 -- [Mediastack API](entities/Mediastack-API.md) — 可扩展新闻数据服务，提供免费计划 - -- [ChatGPT](entities/ChatGPT.md) — OpenAI 开发的大型语言模型，底座大模型代表 -- [OpenAI](entities/OpenAI.md) — 美国 AI 研究实验室，开发 ChatGPT、GPT 系列模型 -- [DeepSeek](entities/DeepSeek.md) — 中国开发的大语言模型，以开源和高效著称 -- [Qwen](entities/Qwen.md) — 阿里云开发的大型语言模型（通义千问） -- [Midjourney](entities/Midjourney.md) — 专用于图像生成的 AI 模型 -- [Stable Diffusion](entities/Stable-Diffusion.md) — 开源的图像生成模型 -- [Ollama](entities/Ollama.md) — 开源本地大语言模型运行框架 -- [Open-WebUI](entities/Open-WebUI.md) — 开源大语言模型 Web UI 界面 - -- [Coze（扣子）](entities/Coze（扣子）.md) — 字节跳动旗下 AI Agent 开发平台，支持 Bot 和 Workflow 两种模式 -- [知乎](entities/知乎.md) — 中国知名问答社区，在培训中作为 Demo 案例 -- [SONY（索尼）](entities/SONY（索尼）.md) — 日本电子产品制造商，培训 Demo 案例 - -- [TikTok Shop](concepts/TikTok-Shop.md) — 字节跳动旗下的短视频电商平台 -- [面单授权](concepts/面单授权.md) — 跨境电商物流面单打印的授权配置 -- [面单收费](concepts/面单收费.md) — 物流面单的费用计算规则 -- [预上网](concepts/预上网.md) — 物流轨迹预生成的机制，24-48 小时左右生成 - -- [BRAT 插件](entities/BRAT-插件.md) — Obsidian 第三方插件自动更新工具，用于安装 Beta 版插件 -- [kepano](entities/kepano.md) — Obsidian CEO，defuddle、obsidian-cli 等 Skills 作者 -- [Axton](entities/Axton.md) — 回到Axton 博主，obsidian-canvas-creator 等视觉类 Skills 作者 -- [Choi Wontak](entities/Choi-Wontak.md) — tutor-skills 作者 - -- [VMware-Cloud-on-AWS](entities/VMware-Cloud-on-AWS.md) — VMware 和 AWS 联合云服务，在 AWS 硬件上原生运行 vSphere 8 - -## Entities -- [Tom Bice](entities/Tom-Bice.md) — OpenText 财务组织负责人，标签标准制定发起人 -- [Martin Nash](entities/Martin-Nash.md) — OpenText 技术架构经理，CTP Topic 23 主讲人 -- [Matthew Chapman](entities/Matthew-Chapman.md) — OpenText CTP 需求评审会议主持人 -- [AWS-Workspaces](entities/AWS-Workspaces.md) — AWS 托管虚拟桌面服务，提供完全持久化桌面 -- [AppStream-2.0](entities/AppStream-2.0.md) — AWS 应用流服务，提供非持久化桌面和应用流传输 -- [Christian-ODonough](entities/Christian-ODonough.md) — AWS 专家，AWS EUC 服务演讲者 -- [UX Researcher](entities/UX-Researcher.md) — The Agency 项目中的用户体验研究智能体，专注于用户行为分析 -- [Outbound Strategist](entities/Outbound-Strategist.md) — The Agency 项目中的基于信号触发的外呼销售策略智能体，通过购买信号识别和 ICP 定义提升外呼转化率 -- [Identity Graph Operator](entities/Identity-Graph-Operator.md) — The Agency 体系中的共享身份图操作智能体，负责实体归一化、合并与冲突治理 -- [Document Generator](entities/Document-Generator.md) — The Agency 项目中的程序化文档创建智能体，专注于 PDF、PPTX、XLSX 与 DOCX 生成 -- [Agentic Identity & Trust Architect](entities/Agentic-Identity-Trust-Architect.md) — The Agency 体系中的自治智能体身份与信任架构专家，负责代理身份验证、委托授权与可审计证据链 -- [Experiment Tracker](entities/Experiment-Tracker.md) — 实验设计与执行跟踪智能体，专注于 A/B 测试、假设验证和数据驱动决策 -- [Project Shepherd](entities/Project-Shepherd.md) — 专业项目管理人员智能体，专注于跨职能项目协调、时间线管理和利益相关方对齐 -- [Recruitment Specialist](entities/Recruitment-Specialist.md) — The Agency 体系中的招聘运营与人才获取专家，负责全流程招聘与劳动法合规 - -## Concepts -- [Process Optimization](concepts/Process-Optimization.md) — 通过识别瓶颈和重设工作流提升效率、质量与可靠性 -- [Resource Allocation](concepts/Resource-Allocation.md) — 在人员、工具、时间和预算之间协调分配资源 -- [Operational Excellence](concepts/Operational-Excellence.md) — 通过标准化、监控和持续改进实现可靠且可扩展的运营 -- [Cross-Functional Leadership](concepts/Cross-Functional-Leadership.md) — 跨团队与跨职能协作以达成共享目标 -- [A/B Testing](concepts/A-B-Testing.md) — 控制实验，比较对照组与处理组以衡量因果影响 -- [Hypothesis Testing](concepts/Hypothesis-Testing.md) — 统计检验框架，用于判断观察结果是否足以拒绝零假设 -- [Statistical Significance](concepts/Statistical-Significance.md) — 结果不太可能由随机性产生的统计判定 -- [Power Analysis](concepts/Power-Analysis.md) — 估算达到目标检验功效所需样本量的方法 -- [Randomization](concepts/Randomization.md) — 通过随机分配降低偏差并支持因果推断 -- [AWS Config](entities/AWS-Config.md) — AWS 配置审计与合规性服务，记录资源配置变化，支持自动检测和修复 -- [IAM 用户](concepts/IAM-用户.md) — IAM 持久化身份，主要用于服务账号 -- [IAM 角色](concepts/IAM-角色.md) — IAM 临时身份，将主体与权限关联 -- [IAM 策略](concepts/IAM-策略.md) — 定义 AWS 权限的 JSON 文档 -- [联合访问](concepts/联合访问.md) — 通过 AD 组映射 IAM 角色的用户访问方式 -- [最小权限原则](concepts/最小权限原则.md) — 安全最佳实践，只授予所需最小权限 -- [账户架构](concepts/账户架构.md) — PPC 广告活动的组织结构设计，涵盖活动结构、广告组分类、标签系统、命名规范 -- [自动化出价策略](concepts/自动化出价策略.md) — PPC 广告平台的智能出价优化机制，涵盖 tCPA、tROAS、Max Conversions 等策略 -- [绩效最大化](concepts/绩效最大化-Performance-Max.md) — Google Ads 自动化全渠道投放类型，通过机器学习优化跨渠道广告投放 -- [BOSCARD](concepts/BOSCARD.md) — 定义复杂新工作的技术，包含背景、目标、范围、约束、假设、风险、角色、可交付成果 -- [VDI](concepts/VDI.md) — Virtual Desktop Infrastructure，虚拟桌面基础设施，通过远程桌面协议提供虚拟计算环境 -- [WSP-Protocol](concepts/WSP-Protocol.md) — Workspaces 流协议，专为高延迟网络设计 -- [SAML](concepts/SAML.md) — 安全断言标记语言，用于单点登录和多因素认证 -- [BYOD](concepts/BYOD.md) — Bring Your Own Device，自带设备，允许员工使用个人设备访问企业资源 - -- [User Research](concepts/User-Research.md) — 用户研究，通过定性定量方法理解用户行为 -- [Usability Testing](concepts/Usability-Testing.md) — 可用性测试，评估产品易用性 -- [User Persona](concepts/User-Persona.md) — 用户画像，基于实证数据创建的理想用户原型 -- [User Journey Mapping](concepts/User-Journey-Mapping.md) — 用户旅程映射，可视化用户与产品交互全过程 -- [Recruitment Operations](concepts/Recruitment-Operations.md) — 招聘渠道投放、漏斗优化与 ROI 评估的运营方法 -- [Identity Governance](concepts/Identity-Governance.md) — 多智能体环境下的实体身份解析、合并与审计治理框架 -- [Digital Government](concepts/Digital-Government.md) — 政务服务、数据治理和内部协同的数字化重构模式 -- [Smart City](concepts/Smart-City.md) — 城市运行、公共服务与治理的数字化、平台化和智能化模式 -- [Government Procurement](concepts/Government-Procurement.md) — 政府机构围绕预算、招标、评标和合同签署的标准化采购流程 -- [Dengbao](concepts/Dengbao.md) — 网络安全等级保护制度及其建设、测评与整改要求 -- [Miping](concepts/Miping.md) — 商用密码应用安全性评估要求 -- [Xinchuang](concepts/Xinchuang.md) — 国产 CPU、OS、数据库与中间件适配与替代工作 -- [Talent Assessment](concepts/Talent-Assessment.md) — 通过结构化与行为面试评估候选人胜任力的过程 -- [Smart City](concepts/Smart-City.md) — 城市运行、公共服务与治理的数字化、平台化和智能化模式 -- [Government Procurement](concepts/Government-Procurement.md) — 政府机构围绕预算、招标、评标和合同签署的标准化采购流程 -- [Dengbao](concepts/Dengbao.md) — 网络安全等级保护制度及其建设、测评与整改要求 -- [Miping](concepts/Miping.md) — 商用密码应用安全性评估要求 -- [Xinchuang](concepts/Xinchuang.md) — 国产 CPU、OS、数据库与中间件适配与替代工作 -- [Talent Assessment](concepts/Talent-Assessment.md) — 通过结构化与行为面试评估候选人胜任力的过程 -- [Labor Law Compliance](concepts/Labor-Law-Compliance.md) — 招聘、合同、背景调查与用工全过程合规要求 -- [Idempotent Operation](concepts/Idempotent-Operation.md) — 可重复执行而不会产生额外副作用的幂等操作 -- [Audit Trail](concepts/Audit-Trail.md) — 记录关键操作、决策与结果的可追溯日志 -- [Payment Rail](concepts/Payment-Rail.md) — 支付从发送方到接收方所经过的结算通道或网络 -- [Spend Limit](concepts/Spend-Limit.md) — 允许在无需额外批准的情况下执行的最大支出额度 -- [Candidate Experience](concepts/Candidate-Experience.md) — 候选人从投递、筛选到入职全过程的体验质量 -- [Employer Brand](concepts/Employer-Brand.md) — 候选人与员工对企业工作环境与声誉的整体认知 -- [ATS](concepts/ATS.md) — Applicant Tracking System，用于管理招聘流程、候选人与状态 -- [Onboarding](concepts/Onboarding.md) — 从 offer 接受到试用期管理的新员工融入流程 - -- [Product](concepts/Product.md) — 具有独立 CI/CD 流水线或发布周期的软件分发 -- [Product-Backlog](concepts/Product-Backlog.md) — 产品待办列表，存放待开发功能和需求，高亮收益和优先级 -- [SMACs](concepts/SMACs.md) — 需求提交的标准化入口，用于启动计时器和确保需求追踪 -- [Cyber Suite](concepts/Cyber-Suite.md) — PSAC 发布的产品安全加密标准，包括标准/可选套件和审查要求 -- [Observability Engineering](concepts/Observability-Engineering.md) — 可观测性工程，通过指标、日志、追踪持续理解系统健康状态 -- [Security Group Policy](concepts/Security-Group-Policy.md) — Firewall Manager 安全组策略类型，包含通用安全组、审计强制、清理未使用三种 -- [Log Analytics](concepts/Log-Analytics.md) — 日志分析，日志数据的采集、存储、搜索和可视化 -- [ELK Stack](concepts/ELK-Stack.md) — Elasticsearch + Logstash + Kibana 开源日志分析技术栈 -- [OpenSearch](concepts/OpenSearch.md) — AWS 的 ELK 开源分支，托管日志分析服务 -- [Global Standards Coverage](concepts/Global-Standards-Coverage.md) — 跨多国工程规范进行统一设计与审查的能力 -- [Logstash](concepts/Logstash.md) — ELK Stack 中的日志处理管道 -- [Kibana](concepts/Kibana.md) — ELK Stack 的 Web 前端和可视化界面 -- [Recovery Assurance](concepts/Recovery-Assurance.md) — 恢复保障，从设计层面确保系统具备恢复能力 -- [Service Control Policies](concepts/Service-Control-Policies.md) — AWS Organizations 的策略类型，管理组织内账户的最大权限边界 -- [Management Groups](concepts/Management-Groups.md) — Azure 组织管理结构，用于组织和管理多个订阅的分层容器 -- [Subscription](concepts/Subscription.md) — Azure 资源隔离的基本容器，每个订阅有独立的配额和访问控制 -- [PIM（Privileged Identity Management）](concepts/PIM-Privileged-Identity-Management.md) — Azure 特权身份管理，控制提升权限的访问 - -- [Demand Management](concepts/Demand-Management.md) — 平衡用户请求与可用容量的业务流程，确保组织有效管理和分配资源 -- [ITIL Framework](concepts/ITIL-Framework.md) — IT 服务管理框架，将业务流程分为服务战略、设计、转换、运营和改进五个阶段 - -- [Tagging Methodology](concepts/Tagging-Methodology.md) — 标签方法论，通过为资源定义标准化的元数据（如 Owner, BU, Product, Environment），作为自动化管理和安全策略执行的基础 - -- [Checkpoint Firewall](concepts/Checkpoint-Firewall.md) — 部署在云环境中的虚拟防火墙，通过集成 AWS 标签实现动态的对象识别和流量过滤 -- [WAF (Web Application Firewall)](concepts/WAF.md) — Web 应用防火墙，保护 Web 应用免受常见攻击 -- [CloudFront](concepts/CloudFront.md) — AWS 内容分发网络（CDN），加速静态内容分发 - -- [Ordered Layer](concepts/Ordered-Layer.md) — 有序层，防火墙策略的一种组织方式，按顺序执行地理屏蔽、BU 隔离、环境隔离等逻辑 - -- [Boto3](concepts/Boto3.md) — AWS SDK for Python，允许通过 Python 代码调用 AWS API - -- [Gruntwork Landing Zone](concepts/Gruntwork-Landing-Zone.md) — Gruntwork 提供的预配置 AWS 基础架构框架，分为 R&D Labs（swinford.net）和 SAS（intsas.local）环境 -- [Enterprise Architecture](concepts/Enterprise-Architecture.md) — 企业架构，帮助阐明云架构并传达可用资源 -- [Cloud Guardrails](concepts/Cloud-Guardrails.md) — 云守护栏，捕获可扩展性、成本最小化和灵活性的强制性要求 -- [Route 53 Private Hosted Zone](concepts/Route-53-Private-Hosted-Zone.md) — AWS 私有托管区域，仅对指定 VPC 可见 -- [Route 53 Resolver Endpoint](concepts/Route-53-Resolver-Endpoint.md) — Route 53 入站/出站终端节点 -- [DNS Anycast](concepts/DNS-Anycast.md) — DNS 寻址和路由方法，共享 IP 地址实现低延迟和高可用 -- [IPAM](concepts/IPAM.md) — IP 地址管理工具，用于规划、追踪和管理 IP 地址空间 -- [Hybrid DNS Resolution](concepts/Hybrid-DNS-Resolution.md) — 混合云 DNS 解析机制 -- [Domain Join](concepts/Domain-Join.md) — 通过 SRE-provided AMIs 实现自动化将 Windows/Linux 实例加入 AD 域的技术 -- [Cloud Volume ONTAP](concepts/Cloud-Volume-ONTAP.md) — NetApp 云端存储解决方案，运行在 AWS EC2 实例上，支持数据分层到 S3 -- [SRE-provided AMIs](concepts/SRE-provided-AMIs.md) — SRE 团队预构建的机器镜像，内置自动域加入脚本 -- [语义形状系统](concepts/语义形状系统.md) — fireworks-tech-graph 将语义概念映射为固定 SVG 形状的词汇表 -- [Purpose-Built Database](concepts/Purpose-Built-Database.md) — 专用数据库，根据用例选择最佳工具而非一刀切 - -- [MPP](concepts/MPP.md) — 大规模并行处理技术，使查询跨多个计算节点并行执行 -- [OLAP](concepts/OLAP.md) — 在线分析处理，用于复杂查询和决策支持的数据库技术 -- [列式存储](concepts/列式存储.md) — 按列存储数据的数据库存储方式，针对数据仓库操作优化 - -- [记忆后端](concepts/记忆后端.md) — Camp 1 类别的记忆工具，从对话中提取事实并存储到向量数据库 -- [上下文基质](concepts/上下文基质.md) — Camp 2 类别的记忆架构，通过维护结构化文件实现上下文累积 - -- [主动问责](concepts/主动问责.md) — AI Agent 主动询问用户行为完成情况，通过直接提问促进行为改变 -- [AI幻觉](concepts/AI幻觉.md) — AI 生成看似合理但实际错误的内容，需通过技巧避免 -- [AI配音](concepts/AI配音.md) — 使用人工智能技术将文字转化为语音的技术 -- [AI-摘要](concepts/AI-摘要.md) — AI 自动提取和总结文档、视频等内容的核心信息 -- [声音克隆](concepts/声音克隆.md) — 通过少量音频样本训练AI模型，生成与原声相似的语音的技术 -- [提示语设计](concepts/提示语设计.md) — 通过精心设计的提示词提升 AI 输出质量的技术 -- [Claude Skills](concepts/Claude-Skills.md) — 写给 Claude 的"说明书"和 SOP，将反复执行的任务拆解为 AI 可稳定复用流程的技术范式 -- [Document Generation](concepts/Document-Generation.md) — 通过代码、模板和数据驱动流程自动生成 PDF、PPTX、XLSX、DOCX 等专业文档的工作流 -- [Obsidian Skills](concepts/Obsidian-Skills.md) — 写给 AI Agent 的"说明书"，扩展 Obsidian 能力的技能集 -- [Obsidian CLI](concepts/Obsidian-CLI.md) — Obsidian 官方命令行工具，支持笔记增删改查 -- [obsidian-bases](concepts/obsidian-bases.md) — 生成 .base 格式数据库配置文件的技能 -- [obsidian-canvas-creator](concepts/obsidian-canvas-creator.md) — 自动计算节点坐标的 Canvas 创建技能 -- [tutor-skills](concepts/tutor-skills.md) — 将文档转化为结构化知识库并通过互动测验检测学习效果 -- [scholar-skill](concepts/scholar-skill.md) — 基于 L1-L3 分级阅读策略的学术研究技能 -- [Awesome Claude Skills](concepts/Awesome-Claude-Skills.md) — 系统整理各类标准化 LLM Skills 工作流的精选 GitHub 仓库 -- [新闻 API 数据源](concepts/新闻-API-数据源.md) — 聚合、组织并交付结构化新闻数据的服务平台 -- [实时新闻数据](concepts/实时新闻数据.md) — 即时获取当前发生的新闻事件的数据服务 -- [情绪分析](concepts/情绪分析.md) — 分析新闻内容中的情感倾向，识别公众对事件的态度 -- [自定义指令](concepts/自定义指令.md) — ChatGPT 用户设置的行为指导原则 -- [个性化配置](concepts/个性化配置.md) — 用户根据自身需求定制 AI 交互方式的过程 -- [systemd-logind](concepts/systemd-logind.md) — systemd 登录管理器，处理电源管理事件 -- [TMUX 交互模式](concepts/TMUX-jiao-hu-mo-shi.md) — Claude Code 在 TMUX 会话中的交互模式，适合超长任务 -- [HandleLidSwitch](concepts/HandleLidSwitch.md) — 合盖电源行为配置项 -- [休眠 (Hibernate)](concepts/休眠-Hibernate.md) — 内存数据写入磁盘后完全断电 -- [待机 (Suspend)](concepts/待机-Suspend.md) — 内存保持供电的低功耗睡眠状态 -- [pmset](concepts/pmset.md) — macOS 电源管理命令行工具 -- [Print Mode](concepts/Print-Mode.md) — Claude Code 非交互执行模式，通过 stdin 管道传递任务 -- [caffeinate](concepts/caffeinate.md) — macOS 临时阻止系统睡眠的工具 -- [WOL (Wake on LAN)](concepts/WOL-Wake-on-LAN.md) — 网络唤醒功能 -- [Wayland](concepts/Wayland.md) — Linux 桌面环境的现代显示协议，Ubuntu 24.04 默认使用 -- [X11 (Xorg)](concepts/X11-Xorg.md) — 传统 Linux 显示协议，支持远程桌面软件 -- [GPT](concepts/GPT.md) — GUID 分区表，现代硬盘分区标准 -- [UEFI](concepts/UEFI.md) — 统一可扩展固件接口 -- [Secure Boot](concepts/Secure-Boot.md) — UEFI 安全启动特性 -- [efibootmgr](concepts/efibootmgr.md) — Linux EFI 启动顺序管理工具 -- [3X-UI](concepts/3X-UI.md) — Xray 可视化管理面板 -- [Xray](concepts/Xray.md) — 多功能代理软件 -- [VLESS](concepts/VLESS.md) — 轻量级代理协议 -- [Reality](concepts/Reality.md) — 无 TLS 特征的 TLS 伪装协议 -- [Agentic AI](concepts/Agentic-AI.md) — 具备自主决策和任务执行能力的 AI 系统 -- [Coze Workflow](concepts/Coze-Workflow.md) — Coze 平台的工作流模式，支持复杂企业级业务逻辑编排 -- [Bot](concepts/Bot.md) — Coze 平台的对话型 AI 智能体，最基础的智能体开发模式 - -- [固定机位](concepts/固定机位.md) — 摄像机位置固定不变，视频画面统一和连贯的基础 -- [内容连续变化](concepts/内容连续变化.md) — 视频主体信息随时间持续发生明确阶段性变化 -- [时间压缩](concepts/时间压缩.md) — 将长时间拍摄过程在视频中浓缩表现的手法 -- [分镜拆解](concepts/分镜拆解.md) — 将视频内容拆分成多个画面阶段描述的过程 -- [九宫格法](concepts/九宫格法.md) — 同时生成 3×3 共九个分镜画面，保证机位与角度不变 -- [首尾针动画](concepts/首尾针动画.md) — 通过两个关键帧，AI 自动补齐中间动作生成连贯动画 -- [快节奏剪辑](concepts/快节奏剪辑.md) — 视频使用 2-4 倍速加速和硬切手法 -- [卡点](concepts/卡点.md) — 画面变化与音乐节奏巧妙同步 -- [Self-Healing Systems](concepts/Self-Healing-Systems.md) — 主动检测异常并自动修复的系统 -- [Last-30-Days-Skill](concepts/Last-30-Days-Skill.md) — Matt Van Horn 开发的 Reddit/X 研究技能，获取过去 30 天用户痛点 -- [Market-Research](concepts/Market-Research.md) — 通过用户反馈和数据分析识别产品机会的过程 -- [Policy-as-Code](concepts/Policy-as-Code.md) — 策略即代码，自动化安全策略执行和持续合规审计 -- [Hyperautomation](concepts/Hyperautomation.md) — 超级自动化，AI/ML 驱动的端到端流程自动化 -- [AI-driven RCA](concepts/AI-driven-RCA.md) — AI 驱动的根因分析 -- [Predictive Maintenance](concepts/Predictive-Maintenance.md) — 通过历史数据预测并预防故障 -- [Dynamic Configuration Management](concepts/Dynamic-Configuration-Management.md) — 运行时动态调整应用配置 -- [Cost Optimization](concepts/Cost-Optimization.md) — 最大化云资源价值、减少开销 -- [Compliance Enforcement](concepts/Compliance-Enforcement.md) — 自动化确保系统符合安全合规要求 -- [AI ChatOps](concepts/AI-ChatOps.md) — 通过协作平台与 AI 交互进行故障排除 -- [Multi-Tenant Management](concepts/Multi-Tenant-Management.md) — SaaS 多租户自动化管理 -- [MVP](concepts/MVP.md) — 最小可行产品，用最少的资源验证核心产品假设 -- [What-If Simulations](concepts/What-If-Simulations.md) — AI 辅助的决策支持模拟 -- [AI-powered Runbooks](concepts/AI-powered-Runbooks.md) — AI 驱动的运维手册推荐 -- [Cloud Security](concepts/Cloud-Security.md) — 保护云环境中的数据、应用程序和基础设施免受威胁的安全措施 -- [Container Lifecycle Hardening](concepts/Container-Lifecycle-Hardening.md) — 容器全生命周期安全加固实践，构建阶段 11 项安全标准 -- [Read Only Root Filesystem](concepts/Read-Only-Root-Filesystem.md) — 只读根文件系统安全配置 -- [Container Image Scanning](concepts/Container-Image-Scanning.md) — 容器镜像漏洞扫描 -- [Init System](concepts/Init-System.md) — 容器初始化进程，处理信号和僵尸进程 -- [Kubernetes Service Account](concepts/Kubernetes-Service-Account.md) — Kubernetes Pod 身份认证机制 -- [Three Lines of Defense](concepts/Three-Lines-of-Defense.md) — 三道防线风险管理框架，业务单元、集团办公室、审计三层职责划分 -- [Cloud Security Posture Management](concepts/Cloud-Security-Posture-Management.md) — 云安全态势管理，持续监控云资源配置合规性 -- [Zero Trust Architecture](concepts/Zero-Trust-Architecture.md) — 零信任架构，"永不信任、始终验证"的安全框架 -- [Supply Chain Security](concepts/Supply-Chain-Security.md) — 软件供应链安全，保护从开发到交付的全流程 -- [SDL (Security Development Lifecycle)](concepts/SDL-Security-Development-Lifecycle.md) — 软件安全开发生命周期，Micro Focus 13 个安全轨道的系统化方法 -- [Cloud Computing](concepts/Cloud-Computing.md) — 通过互联网远程访问计算资源的云计算服务模式 -- [Public Cloud](concepts/Public-Cloud.md) — 由第三方提供商通过互联网共享交付的云计算部署模式 -- [Private Cloud](concepts/Private-Cloud.md) — 专属于单一组织的云计算部署模式 -- [Hybrid Cloud](concepts/Hybrid-Cloud.md) — 组合使用公有云和私有云的部署模式 -- [Shared Responsibility Model](concepts/Shared-Responsibility-Model.md) — 云服务商与客户共同承担安全责任的框架 -- [Pay-as-you-go](concepts/Pay-as-you-go.md) — 基于实际使用量计费的商业模式 -- [Data Governance](concepts/Data-Governance.md) — 云环境中数据安全性、完整性和合规性的管理框架 -- [Cloud Migration](concepts/Cloud-Migration.md) — 将工作负载从本地迁移到云环境的过程 -- [High Availability](concepts/High-Availability.md) — 通过冗余和故障转移确保系统持续可用的设计原则 -- [Auto-scaling](concepts/Auto-scaling.md) — 根据负载自动调整计算资源的技术 -- [Serverless Computing](concepts/Serverless-Computing.md) — 无需管理服务器即可运行代码的云计算模式 -- [Cloud Service Delivery](concepts/Cloud-Service-Delivery.md) — 涵盖12个核心管理领域的云服务交付生命周期 -- [FinOps](concepts/FinOps.md) — 云财务运营，整合财务管理与云资源优化 -- [Instance Scheduling](concepts/Instance-Scheduling.md) — 实例定时调度，通过预设时间规则自动控制 EC2 和 RDS 实例启停，实现非生产环境成本优化 -- [Right Sizing](concepts/Right-Sizing.md) — 识别正确资源规格匹配工作负载需求，通过 EC2 Right Sizing 推荐、实例调度、闲置资源清理实现成本节省 - -- [CTP Topic 27 AWS Instance Scheduler](sources/ctp-topic-27-aws-instance-scheduler.md) — AWS 实例调度工具，通过定时启停 EC2 和 RDS 实例实现非生产环境成本优化，已通过 Guardrails 自动覆盖 -- [Workload Optimization](concepts/Workload-Optimization.md) — 通过现代化和 Right Sizing 优化资源配置，涵盖 Intel→AMD/Graviton 迁移、GP2→GP3 升级、EKS 版本升级 -- [Rate Optimization](concepts/Rate-Optimization.md) — 基于承诺使用获取折扣，Savings Plans/Reserved Instances/Spot Instances，最低交易价值每年 5,000 美元 -- [Cloud Operating Model](concepts/Cloud-Operating-Model.md) — 云运营模型，管理云资源、安全、成本和治理的框架 -- [DevOps 文化](concepts/DevOps-文化.md) — 打破开发与运维壁垒，优先协作、持续学习和客户导向的文化理念 -- [CI/CD 流水线](concepts/CI-CD-流水线.md) — 自动化测试、集成和部署的持续交付管道 -- [Infrastructure as Code (IaC)](concepts/Infrastructure-as-Code-IaC.md) — 通过代码实现一致性、版本控制的基础设施管理 -- [敏捷实践](concepts/敏捷实践.md) — Scrum、Kanban 等迭代开发方法论 -- [DevSecOps](concepts/DevSecOps.md) — 在 CI/CD 流水线中深度集成安全工具的文化理念 -- [HCX](concepts/HCX.md) — Hybrid Cloud Extender，VMware 混合云扩展工具 -- [GitOps](concepts/GitOps.md) — 使用 Git 作为单一真相源来管理基础设施和部署 -- [持续改进 (Kaizen)](concepts/持续改进.md) — 通过迭代学习不断优化流程的文化实践 -- [混沌工程](concepts/混沌工程.md) — 主动测试系统韧性的实践方法 -- [无责复盘 (Blameless Postmortem)](concepts/无责复盘.md) — 不追究个人责任，聚焦问题本质的失败分析方法 -- [Cloud Maturity Model](concepts/Cloud-Maturity-Model.md) — 评估组织云采纳就绪程度的5级框架 -- [Cloud Adoption](concepts/Cloud-Adoption.md) — 将工作负载和服务从本地迁移到云的过程 -- [Cloud Native](concepts/Cloud-Native.md) — 利用云平台原生特性构建和运行应用的方法 -- [Hybrid Cloud](concepts/Hybrid-Cloud.md) — 组合使用公有云和私有云的部署模式 -- [Multi-Account Strategy](concepts/Multi-Account-Strategy.md) — AWS 多账号架构策略，通过分离工作负载提升安全性和治理能力 -- [Multi-Cloud](concepts/Multi-Cloud.md) — 使用多个云服务商服务的部署策略 -- [DevOps](concepts/DevOps.md) — 结合开发与运营实现持续软件交付的方法论 -- [DevOps 成熟度模型](concepts/DevOps-成熟度模型.md) — 评估组织 DevOps 实践水平的五级框架 -- [SRE](concepts/SRE.md) — 站点可靠性工程，将软件工程方法应用于运维问题 -- [泰勒制](concepts/泰勒制.md) — 基于标准化和效率最大化的工业管理方法，影响 AI 工具定位 -- [增量备份](concepts/增量备份.md) — 仅备份变化数据的备份策略 -- [NFS永久挂载](concepts/NFS永久挂载.md) — 通过 /etc/fstab 实现 NFS 开机自动挂载 -- [灾难恢复](concepts/灾难恢复.md) — 系统故障后的数据还原流程 -- [IaaS](concepts/IaaS.md) — 基础设施即服务，提供虚拟计算资源 -- [PaaS](concepts/PaaS.md) — 平台即服务，提供应用开发和部署平台 -- [SaaS](concepts/SaaS.md) — 软件即服务，以订阅方式提供软件应用 -- [CAPEX to OPEX](concepts/CAPEX-to-OPEX.md) — 从资本支出向运营支出的财务模式转变 -- [Cloud Security Maturity Model (CSMM)](concepts/Cloud-Security-Maturity-Model-CSMM.md) — 评估云安全成熟度的模型 -- [AWS Cloud Adoption Framework](concepts/AWS-Cloud-Adoption-Framework.md) — AWS 的云采纳框架 -- [Azure Cloud Adoption Framework](concepts/Azure-Cloud-Adoption-Framework.md) — Azure 的云采纳框架 -- [Google Cloud Adoption Framework](concepts/Google-Cloud-Adoption-Framework.md) — Google Cloud 的云采纳框架 -- [Cloud Center of Excellence (CCOE)](concepts/Cloud-Center-of-Excellence-CCOE.md) — 推动云采纳和治理的核心组织单元 -- [开源平替](concepts/开源平替.md) — 功能可替代闭源商业产品的开源项目 -- [Source-grounding](concepts/source-grounding.md) — NotebookLM 核心机制，仅使用用户上传的文档作为知识库 -- [Audio Overviews](concepts/audio-overviews.md) — 将文档转化为双人 AI 对话播客的功能 -- [教育资源数字化](concepts/教育资源数字化.md) — 将传统教育内容转化为数字格式的过程 -- [SDLC（软件开发生命周期）](concepts/SDLC.md) — 软件开发的六个阶段流程 -- [SAST（静态应用安全测试）](concepts/SAST.md) — 静态代码分析，在编码早期发现漏洞 -- [SCA（软件成分分析）](concepts/SCA.md) — 检测开源依赖中的已知漏洞 -- [IAST（交互式应用安全测试）](concepts/IAST.md) — 运行时动态检测安全问题 -- [梅林固件](concepts/梅林固件.md) — 华硕路由器第三方固件改良版，支持插件和高级网络配置 -- [科学上网](concepts/科学上网.md) — 通过代理服务器绕过网络限制访问被封锁网站的技术 -- [Clash](concepts/Clash.md) — 基于规则分流的代理客户端 -- [故障转移](concepts/故障转移.md) — 连接故障时自动切换至备用节点的机制 -- [代理链 (ProxyChains)](concepts/代理链-ProxyChains.md) — 强制终端命令走代理的工具 -- [透明代理](concepts/透明代理.md) — 通过防火墙规则强制流量走代理的机制 - -- [SSH](concepts/SSH.md) — 安全远程登录协议 -- [Socket Activation](concepts/Socket-Activation.md) — systemd 按需启动机制 -- [Scrapy](concepts/Scrapy.md) — Python 爬虫框架 -- [Playwright](concepts/Playwright.md) — Microsoft 浏览器自动化工具 -- [LaTeX编译](concepts/LaTeX编译.md) — 通过 pdflatex/xelatex/lualatex 将 LaTeX 源码编译为 PDF -- [arxiv-reader skill](concepts/arxiv-reader-skill.md) — arXiv 论文读取 skill（arxiv_fetch、arxiv_sections、arxiv_abstract） -- [BibTeX/BibLaTeX](concepts/BibTeX-BibLaTeX.md) — LaTeX 文档中管理参考文献的格式系统 -- [LaTeX模板](concepts/LaTeX模板.md) — 预配置的 LaTeX 文档类（article、IEEE、beamer、中文） -- [Ollama](concepts/Ollama.md) — 本地大语言模型运行环境 -- [指纹浏览器](concepts/指纹浏览器.md) — 模拟不同设备指纹的多账号浏览器，实现环境隔离 -- [SOCKS5代理](concepts/SOCKS5代理.md) — 支持 TCP/UDP 的网络代理协议，隐匿真实 IP -- [Docker Daemon 代理](concepts/Docker-Daemon-代理.md) — 为 Docker 守护进程配置代理，使 docker pull/push 能通过代理访问外网 -- [Docker-网桥](concepts/Docker-网桥.md) — Docker 虚拟网桥，容器与宿主机网络通信的桥梁 -- [Dockerfile](concepts/Dockerfile.md) — Docker 镜像构建文件，声明式配置镜像构建步骤 -- [Docker-Network](concepts/Docker-Network.md) — Docker 容器网络隔离和通信机制 -- [容器化媒体服务](concepts/容器化媒体服务.md) — 通过 Docker 容器化技术部署媒体应用的架构模式 -- [容器化仪表板](concepts/容器化仪表板.md) — 通过 Docker 容器化部署的仪表板应用，作为统一服务入口 -- [硬件转码](concepts/硬件转码.md) — 利用 GPU 硬件加速视频编码/解码 -- [IP纯净度](concepts/IP纯净度.md) — 评定 IP 安全可靠的风险等级指标 -- [x86_64](concepts/x86_64.md) — 64位 x86 架构，Intel 和 AMD 处理器使用的指令集 -- [ARM64](concepts/ARM64.md) — 64位 ARM 架构（AArch64），移动设备和部分服务器使用的指令集 -- [ELF](concepts/ELF.md) — 可执行和链接格式，Linux 可执行文件的标准格式 -- [CloudDrive2](concepts/CloudDrive2.md) — 阿里云盘挂载工具，可将云盘映射为本地磁盘 -- [Cloudflare D1](concepts/Cloudflare-D1.md) — Cloudflare 无服务器 SQL 数据库 -- [Cloudflare R2](concepts/Cloudflare-R2.md) — Cloudflare 无服务器对象存储，S3 兼容 -- [Vibe Coding](concepts/Vibe-Coding.md) — AI 辅助开发方式，自然语言描述需求，AI 负责代码实现 -- [Plan Mode](concepts/Plan-Mode.md) — OpenCode 方案预览模式，禁用修改仅展示实现计划 -- [Build Mode](concepts/Build-Mode.md) — OpenCode 实际执行模式，接收指令后进行代码修改 -- [Claude Code Templates](concepts/Claude-Code-Templates.md) — Claude Code 预配置模板平台，提供 Skills/Agents/MCP 模板 -- [npx](concepts/npx.md) — Node.js 官方包执行工具，无需全局安装即可运行 npm 包 -- [npm](concepts/npm.md) — Node.js 包管理器，用于安装、管理和分享 JavaScript 代码包 -- [nvm](concepts/nvm.md) — Node.js 版本管理工具，允许安装和切换多个 Node 版本 -- [pm2](concepts/pm2.md) — Node.js 进程管理器，提供进程守护、日志管理和负载均衡 -- [Node.js](concepts/Node-js.md) — 基于 Chrome V8 引擎的 JavaScript 运行时 -- [深度工作](concepts/深度工作.md) — 在无干扰状态下专注职业活动，提高认知产出 -- [任务管理](concepts/任务管理.md) — 个人待办事项的组织、追踪和完成过程 -- [双链（Backlinks）](concepts/shuang-lian-backlinks.md) — Obsidian 核心功能，将笔记双向关联形成知识网络 -- [信息黑洞](concepts/信息黑洞.md) — 只收集不使用的笔记困境，通过连接和复盘解决 -- [每日笔记](concepts/每日笔记.md) — 每日记录并关联旧笔记的工作方式 -- [地图笔记](concepts/地图笔记.md) — 整理核心主题的索引页，聚合相关笔记 -- [定期复盘](concepts/定期复盘.md) — 定期翻看旧笔记，删除无用内容 -- [知识网络](concepts/知识网络.md) — 通过双链关联形成的笔记网络结构 -- [Agent Skill 设计模式](concepts/Agent-Skill-设计模式.md) — Google 发布的 5 种 Agent Skill 设计模式（Tool Wrapper、Generator、Reviewer、Inversion、Pipeline） -- [Tool Wrapper](concepts/Tool-Wrapper.md) — 让 agent 快速成为某个领域专家的 Skill 模式 -- [Generator](concepts/Generator.md) — 从模板生成结构化输出的 Skill 模式 -- [Reviewer](concepts/Reviewer.md) — 把检查清单和检查逻辑分开的 Skill 模式 -- [Inversion](concepts/Inversion.md) — agent 先问用户再做的 Skill 模式 -- [Pipeline](concepts/Pipeline.md) — 带硬性检查点的严格工作流 Skill 模式 -- [SkillToolset](concepts/SkillToolset.md) — ADK 提供的 skill 工具集 -- [渐进式披露](concepts/渐进式披露.md) — 按需加载优化策略，减少 token 消耗 -- [一人公司模式](concepts/一人公司模式.md) — 用个人优势作为杠杆实现商业变现的创业模式 -- [Ikigai](concepts/Ikigai.md) — 热爱的、擅长的、市场需要的、能获得报酬的四者交集 -- [天才地带](concepts/天才地带.md) — 能产生心流的区域，时间飞逝精力充沛 -- [底层能力](concepts/底层能力.md) — 隐藏在活动表象下的核心能力 -- [产品体系](concepts/产品体系.md) — 引流→入门→核心→高价四级产品矩阵 -- [内容矩阵](concepts/内容矩阵.md) — 核心主题×内容形式的二维内容策略 -- [销售漏斗](concepts/销售漏斗.md) — 获客→激活→转化的客户转化路径 -- [信号驱动销售](concepts/信号驱动销售.md) — 基于购买信号触发外呼的销售方法论，比冷外呼转化率高 4-8 倍 -- [ICP 定义](concepts/ICP-定义.md) — 理想客户画像定义，通过 firmographic/behavioral qualifiers 和 disqualifiers 构建 - -- [工作流自动化](concepts/工作流自动化.md) — 预定义自动化流程，与 AI Agent 互补 -- [上下文记忆](concepts/上下文记忆.md) — AI Agent 保留对话历史的能力 -- [Preference Learning](concepts/Preference-Learning.md) — AI Agent 通过交互学习用户偏好，持续优化内容筛选 -- [N8N 节点](concepts/N8N-节点.md) — N8N 平台的基本构建单元（触发器、操作、工具、代码、高级 AI） -- [Agent Chain](concepts/Agent-Chain.md) — 多个 Agent 串联工作，各自负责不同阶段的流水线架构 -- [层级结构 (Hierarchy)](concepts/层级结构-Hierarchy.md) — Planner → Worker → Validator 三层架构，通过依赖图强制协作 -- [共识投票 (Consensus)](concepts/共识投票-Consensus.md) — 多数票机制抵消模型随机噪声 -- [对抗式辩论 (Adversarial Debate)](concepts/对抗式辩论-Adversarial-Debate.md) — 生成器+批评者+评委三角制衡 -- [淘汰制 (Knock-out)](concepts/淘汰制-Knock-out.md) — 适者生存机制，将 LLM 视为"牲畜" -- [可靠性工程](concepts/可靠性工程.md) — 将 LLM 视为分布式系统中不可靠组件的工程方法论 -- [Pre-Recording Research](concepts/Pre-Recording-Research.md) — 录制前的准备工作，包括嘉宾背景研究和话题深度挖掘 -- [Show Notes](concepts/Show-Notes.md) — 带有时间戳的节目笔记，帮助听众快速定位内容 -- [Social Media Kit](concepts/Social-Media-Kit.md) — 为每集播客生成的多平台宣传素材包 -- [去中心化协调](concepts/去中心化协调.md) — 通过共享状态文件实现多 Agent 自主协调的模式 -- [Subagent 管理](concepts/Subagent-管理.md) — 使用 sessions_spawn/sessions_send 管理子代理的技术 -- [项目状态管理](concepts/项目状态管理.md) — 基于 STATE.yaml 的任务追踪和协调机制 -- [Webhook](concepts/Webhook.md) — n8n 接收外部 HTTP POST 请求的触发器 -- [Credential Isolation](concepts/Credential-Isolation.md) — 凭证隔离模式，API 密钥存储在独立系统 -- [Lockable Workflow](concepts/Lockable-Workflow.md) — 可锁定工作流模式，锁定后 Agent 无法修改 -- [向量嵌入](concepts/向量嵌入.md) — 将文本转换为数值向量，用于语义相似度计算 -- [语义去重](concepts/语义去重.md) — 通过向量相似度判断创意是否重复的技术 - -- [Second Brain](concepts/Second-Brain.md) — 通过 AI Agent 实现的个人知识管理系统 -- [OpenClaw 部署专家](concepts/OpenClaw-部署专家.md) — AionUi 内置的 OpenClaw 安装、诊断、修复助手 - -- [数字导师](concepts/数字导师.md) — 用AI复活历史人物，让其成为日常对话的思维顾问 -- [思维蒸馏](concepts/思维蒸馏.md) — 通过6个并行Agent从6个维度提炼核心思维框架生成AI Skill的技术 -- [禅意](concepts/禅意.md) — 源于佛教禅宗的哲学思想，强调放下执着、内心宁静 -- [道法自然](concepts/道法自然.md) — 道家核心思想，万物依自然规律运行 -- [缘起性空](concepts/缘起性空.md) — 佛教核心概念，一切现象依赖条件存在，无独立自性 -- [大智若愚](concepts/大智若愚.md) — 藏锋守拙的生存哲学，真正的智慧看似愚钝 -- [Self-Serve Migration](concepts/Self-Serve-Migration.md) — 自服务迁移模式，各团队自行规划和执行迁移 -- [GitHub-Enterprise to GitLab Migration](concepts/GitHub-Enterprise-to-GitLab-Migration.md) — OpenText 将代码仓库从 GitHub Enterprise 迁移到 GitLab -- [Project Thor](concepts/Project-Thor.md) — OpenText 云平台标准化项目，五大支柱框架 - -- [和光同尘](concepts/和光同尘.md) — 收敛光芒，混同尘俗，不标新立异以保全自身 -- [无常](concepts/无常.md) — 佛教核心概念，世间万物不断变化、无永恒不变 -- [安之若命](concepts/安之若命.md) — 尽人事后坦然接受无法改变的结果 - -- [Designing for Agentic AI](concepts/Designing-for-Agentic-AI.md) — AI Agent 产品设计的五大最佳实践 - -- [内容技能](concepts/内容技能.md) — 内容生成和发布技能（xhs-images、infographic、cover-image 等） - -- [AI生成技能](concepts/AI生成技能.md) — AI 驱动的生成后端（imagine、gemini-web 等） - -- [工具技能](concepts/工具技能.md) — 内容处理工具（youtube-transcript、url-to-markdown、translate 等） - -- [AI-简报工作流](concepts/AI-简报工作流.md) — 先研究后设计的四阶段简报制作流程 -- [防彈筆記法](concepts/防彈筆記法.md) — 任务导向的知识管理系统（SSOT、目标行动决策同一笔记） -- [Generative AI](concepts/Generative-AI.md) — 擅长创建新内容（文本、图像、音乐）的 AI 系统 - -- [LLM](concepts/LLM.md) — 大型语言模型，AI 应用的"天才大脑"，擅长思考但对当前情况无知 - -- [需求拆解能力](concepts/需求拆解能力.md) — 将模糊的目标拆解为具体、可执行的子任务的能力 -- [结构化表达能力](concepts/结构化表达能力.md) — 用清晰的逻辑组织信息，让 AI 快速抓取核心的能力 -- [场景共情能力](concepts/场景共情能力.md) — 站在使用场景和受众角度，定义输出的标准与风格的能力 -- [迭代优化能力](concepts/迭代优化能力.md) — 通过测试反馈持续调整指令，逼近最优结果的能力 - -- [Technical-Domains](concepts/Technical-Domains.md) — 将公司技术栈划分为特定领域，每个领域由首席架构师负责生命周期与路线图 -- [Technical Architecture (TA)](concepts/Technical-Architecture-TA.md) — 最贴近技术的架构层，负责底层技术实施与基础设施治理 -- [Enterprise Architecture (EA)](concepts/Enterprise-Architecture-EA.md) — 架构体系高层，负责将业务目标转化为技术原则和标准 -- [Solution Architecture (SA)](concepts/Solution-Architecture-SA.md) — 架构体系中间层，专注特定项目或服务的优化实施 - -## Syntheses -- （暂无） + 1|## Overview + 2|- [Overview](overview.md) — 知识库总览 + 3| + 4|- [ZK Steward Agent](sources/zk-steward.md) — 基于 Niklas Luhmann 的 Zettelkasten 方法论构建 AI 时代的知识网络 + 5| + 6|- [The Agency: AI Specialists Ready to Transform Your Workflow](sources/agency-agents-readme.md) — 开源 AI 智能体集合项目，提供 144+ 个跨 12 个部门的专业化 AI Agent + 7| + 8|- [2025 年 11 个神级 AI 开源平替，GitHub 杀疯了](sources/2025-年-11-个-神级-AI-开源平替-GitHub-杀疯了.md) — 2025 年 GitHub 上 8 个 AI 领域的顶尖开源项目盘点 + 9| + 10|- [fireworks-tech-graph](sources/fireworks-tech-graph.md) — AI 驱动技术图生成工具，将中文描述转化为 SVG/PNG 技术图 + 11| + 12|- [JimLiu/baoyu-skills](sources/baoyu-skills.md) — 宝玉分享的 Claude Code 技能集，包含内容生成、AI 图像生成、工具类自动化 17+ 个技能 + 13| + 14|- [我的工具集](sources/wo-de-gong-ju-ji.md) — AI 工具清单整理 + 15| + 16|- [7 ways I use NotebookLM to make my life easier](sources/7-ways-i-use-notebooklm-to-make-my-life-easier.md) — NotebookLM 的 7 种高效使用场景 + 17| + 18|- [TK美国面单授权及操作流程](sources/TK美国面单授权及操作流程.md) — TikTok Shop 美国面单授权配置流程指南 + 19| + 20|- [TikTok Shop - Apache Superset Dashboard设计思路](sources/TikTok-Shop-Apache-Superset-Dashboard设计思路.md) — TikTok Shop 电商数据可视化仪表盘设计指南 + 21| + 22|- [超达物流定价](sources/chao-da-wu-liu-ding-jia.md) — 跨境电商物流定价规则与服务说明 + 23| + 24|- [Building your Quartz](sources/Building-your-Quartz.md) — quartz 静态站点构建与自托管指南（Nginx/Apache/Caddy） + 25| + 26|- [在 Ubuntu 安装 Ollama 并运行 Qwen2.5-Coder 7B](sources/在-Ubuntu-安装-Ollama-并运行-Qwen2.5-Coder-7B.md) — 在 Ubuntu 系统上安装 Ollama 本地大模型运行环境并运行 Qwen2.5-Coder 7B + 27| + 28|- [Obsidian CLI](sources/obsidian-cli.md) — Obsidian 官方命令行工具，用于脚本化、自动化和外部工具集成 + 29| + 30|- [Obsidian 必装 Skills](sources/Obsidian-必装-Skills.md) — Obsidian 必装的 AI Skills 推荐与配置指南 + 31| + 32|- [Obsidian CLI 命令全景速查表](sources/Obsidian-官方-CLI-命令-全景-速查表.md) — Obsidian 官方 CLI 命令速查与自动化工作流（版本要求 v1.12+） + 33| + 34|## Sources +- [Healthcare Marketing Compliance Specialist](sources/healthcare-marketing-compliance.md) — Chinese healthcare marketing compliance, from ads to privacy and platform rules + 35|- [UI Designer](sources/design-ui-designer.md) — The Agency 项目中的 UI Designer 智能体，专门负责创建美观、一致、可访问的用户界面 + 36|- [UX Researcher](sources/design-ux-researcher.md) — The Agency 项目中的用户体验研究智能体，专注于用户行为分析和数据驱动的设计决策 + 37|- [Contributing to The Agency](sources/the-agency-contributing.md) — The Agency 项目的贡献指南，涵盖智能体设计规范、PR 流程 + 38|- [为 The Agency 贡献代码](sources/contributing-zh-cn.md) — The Agency 项目的贡献指南，涵盖智能体设计规范、PR 流程和社区参与方式 + 39|- [UX Architect Agent 设计文档](sources/design-ux-architect.md) — UX Architect 技术架构与 UX 专家智能体设计规范，涵盖 CSS 设计系统、布局框架、主题切换机制 + 40| + 41|- [Senior Project Manager](sources/project-manager-senior.md) — Converts specifications into developer-ready task lists, enforces realistic scope, and maintains project memory + 42|- [Experiment Tracker](sources/project-management-experiment-tracker.md) — 实验设计与执行跟踪智能体，专注于 A/B 测试、假设验证和数据驱动决策 + 43| + 44|- [Visual Storyteller](sources/design-visual-storyteller.md) — 视觉故事讲述专家智能体，专注于创建视觉叙事、多媒体内容和品牌故事设计 + 45|- [Whimsy Injector Agent Personality](sources/design-whimsy-injector.md) — 品牌体验趣味性注入专家，专注于为品牌添加个性化和乐趣 + 46| + 47|- [Brand Guardian Agent 设计文档](sources/design-brand-guardian.md) — The Agency 项目中的品牌战略与身份保护专家智能体，专注于品牌基础框架、视觉识别系统、品牌一致性与价值保护 + 48|- [Image Prompt Engineer Agent](sources/design-image-prompt-engineer.md) — AI 图像生成提示词工程专家智能体，专注于将视觉概念转化为精确的提示词语言 + 49|- [Cultural Intelligence Strategist](sources/specialized-cultural-intelligence-strategist.md) — The Agency specialist for detecting invisible exclusion, global-first design, and culturally humble research +- [Corporate Training Designer](sources/corporate-training-designer.md) — 企业培训系统架构与课程开发专家智能体 + 50|- [Document Generator](sources/specialized-document-generator.md) — The Agency 项目中的程序化文档创建智能体，负责 PDF、PPTX、XLSX 与 DOCX 的代码化生成 + 50|- [Workflow Architect](sources/specialized-workflow-architect.md) — The Agency 项目中的工作流设计专家智能体，负责流程树、失败分支与交接契约 + 51|- [Agentic Identity & Trust Architect](sources/agentic-identity-trust.md) — The Agency 中负责自治 AI Agent 身份、授权、证据链与信任评分的零信任专家智能体 + 52| + 53|- [Inclusive Visuals Specialist](sources/design-inclusive-visuals-specialist.md) — 包容性视觉设计专家智能体，专注于对抗 AI 生成中的系统性偏见，生成文化准确、有尊严的多元人像 + 54|- [XR Cockpit Interaction Specialist](sources/xr-cockpit-interaction-specialist.md) — XR 座舱交互专家智能体，专注于设计和开发 XR 环境的沉浸式座舱控制系统 + 55|- [macOS Spatial/Metal Engineer](sources/macos-spatial-metal-engineer.md) — macOS Spatial/Metal Engineer 智能体，Native Swift 和 Metal 专家，构建高性能 3D 渲染系统和空间计算体验 + 56|- [Terminal Integration Specialist](sources/terminal-integration-specialist.md) — 终端仿真和 SwiftTerm 集成专家智能体，专注于现代 Swift 应用的终端仿真、文本渲染优化 + 57| + 58|- [XR Interface Architect](sources/xr-interface-architect.md) — XR 界面架构师智能体，专注于沉浸式 3D 环境的空间界面设计 + 59| + 60|- [visionOS Spatial Engineer](sources/visionos-spatial-engineer.md) — visionOS 空间计算原生开发专家智能体，专注于 SwiftUI 体积化界面和 Liquid Glass 设计实现 + 61|- [Identity Graph Operator](sources/identity-graph-operator.md) — 多智能体共享身份图操作智能体，负责实体解析、合并提案与冲突治理 + 62| + 63|- [Paid Media Programmatic & Display Buyer](sources/paid-media-programmatic-buyer.md) — 付费媒体程序化购买与展示广告智能体，专注于 DSP 平台管理、Google 展示网络、ABM 展示和合作伙伴媒体策略 + 64| + 65|- [Paid Media PPC Campaign Strategist](sources/paid-media-ppc-strategist.md) — 付费媒体 PPC 智能体，负责大规模搜索、购物和效果最大化广告系列架构设计 + 66| + 67|- [Paid Media Paid Social Strategist](sources/paid-media-paid-social-strategist.md) — The Agency 项目中的付费社交媒体广告智能体，跨平台覆盖 Meta、LinkedIn、TikTok 等 + 68| + 69|- [Paid Media Auditor](sources/paid-media-auditor.md) — 付费媒体审计智能体，系统化评估 Google Ads、Microsoft Ads 和 Meta 广告账户，识别 15-30% 效率提升机会 + 70|- [Studio Operations](sources/project-management-studio-operations.md) — The Agency 项目中的工作室运营与流程优化智能体，负责日常效率、资源协调和持续改进 + 71|- [Accounts Payable Agent](sources/accounts-payable-agent.md) — The Agency 体系中的应付账款与付款执行智能体，负责发票验证、支付路由与审计轨迹 + 72|- [Experiment Tracker](entities/Experiment-Tracker.md) — 实验设计与执行跟踪智能体，专注于 A/B 测试、假设验证和数据驱动决策 + 73|- [Project Shepherd](entities/Project-Shepherd.md) — 专业项目管理人员智能体，专注于跨职能项目协调、时间线管理和利益相关方对齐 + 74|- [Recruitment Specialist](entities/Recruitment-Specialist.md) — The Agency 体系中的招聘运营与人才获取专家，负责全流程招聘与劳动法合规 + 75|- [Accounts Payable Agent](entities/Accounts-Payable-Agent.md) — The Agency 体系中的应付账款与付款执行智能体，负责验证发票、路由支付与防止重复付款 + 76|- [Experiment Tracker](sources/project-management-experiment-tracker.md) — 实验设计与执行跟踪智能体，专注于 A/B 测试、假设验证和数据驱动决策 + 77|- [Jira Workflow Steward](sources/project-management-jira-workflow-steward.md) — 交付可追溯性治理智能体，专注于 Jira 关联的 Git 工作流、可追溯提交、结构化 PR 和发布安全分支策略 + 78| + 79|- [Paid Media Ad Creative Strategist](sources/paid-media-creative-strategist.md) — 付费媒体广告创意策略智能体，专注于广告文案撰写、响应式搜索广告优化和创意测试框架 + 80| + 81|- [Paid Media Tracking & Measurement Specialist](sources/paid-media-tracking-specialist.md) — 付费媒体追踪与测量专家智能体，专注于 GTM 容器架构、GA4 事件设计、服务端标记和转化归因 + 82| + 83|- [Search Query Analyst](sources/search-query-analyst.md) — 付费搜索查询分析智能体，专注于搜索词报告挖掘、否定关键词架构和查询意图映射 + 84| + 85|- [Sales Discovery Coach](sources/sales-discovery-coach.md) — 销售发现方法论指导智能体，教导销售团队通过提问、当前状态映射、差距量化和电话结构发现真正购买动机 + 86|- [Outbound Strategist](sources/sales-outbound-strategist.md) — 基于信号的主动外呼销售策略智能体，通过购买信号触发和多渠道序列设计提升转化率 + 87| + 88|- [Deal Strategist](sources/sales-deal-strategist.md) — 销售交易策略智能体，专注于 MEDDPICC 资格认证、竞争定位和赢单规划 + 89| + 90|- [Sales Coach](sources/sales-coach.md) — 销售 coaching 专家智能体，通过 Socratic 方法提升销售代表技能、pipeline 管理和预测准确性 + 91| + 92|- [Proposal Strategist](sources/sales-proposal-strategist.md) — 销售提案策略智能体，将 RFP 响应转化为制胜叙事，擅长制胜主题开发和竞争定位 + 93| + 94|- [Sales Account Strategist](sources/sales-account-strategist.md) — 售后账户策略专家智能体，专注于 Land-and-Expand 执行、利益相关者映射、QBR 设计和净收入留存 + 95| + 96|- [Pipeline Analyst](sources/sales-pipeline-analyst.md) — 销售管道健康诊断与收入预测智能体，专注于管道健康评估、交易速度分析和预测准确性 + 97| + 98|- [Sales Engineer](sources/sales-engineer.md) — 售前工程师智能体，专注于技术发现、演示工程、POC 设计、竞争定位和解决方案架构 + 99|- [Government Digital Presales Consultant](sources/government-digital-presales-consultant.md) — 政府数字化售前智能体，专注于政策解读、方案设计、招投标与合规适配 + 100|- [Civil Engineer](sources/specialized-civil-engineer.md) — 土木与结构工程智能体，专注于多国规范下的结构分析、岩土设计和建筑合规 + 101| + 102|- [Cloud Learning Master Index](sources/cloud-learning-master-index.md) — Public Cloud Learning Sessions 课程分类索引与统计信息（10 个类别，121 个视频） + 103| + 104|- [Public Cloud Learning Sessions - EKS Optimization part 1 of 3 - Compute Optimization with Karpenter](sources/public-cloud-learning-sessions-eks-optimization-part-1-of-3-compute-optimization.md) — EKS 计算优化，使用 Karpenter 实现自动扩缩容 + 105|- [Public Cloud Learning Sessions - EKS Optimization part 2 of 3 - Running Containers with Bottlerocket OS](sources/public-cloud-learning-sessions-eks-optimization-part-2-of-3-running-containers-w.md) — Bottlerocket OS 优化容器运行 + 106|- [Public Cloud Learning Sessions - EKS Optimization part 3 of 3 - Introduction to EKS Auto Mode](sources/public-cloud-learning-sessions-eks-optimization-part-3-of-3-introduction-to-eks-auto-mode.md) — EKS Auto Mode 介绍，自动管理数据平面实例、操作系统、补丁和安全更新 + 107| + 108|- [Public Cloud Learning Sessions - Introduction to AI/ML with AWS](sources/public-cloud-learning-sessions-introduction-to-artificial-intelligence-ai-machine-learning-20240206.md) — AWS AI/ML 介绍与实践，Suraav Paul 讲解生成式 AI、 Amazon Bedrock 和 ML Ops + 109| + 110|- [Public Cloud Learning Sessions - Reducing Cloud Costs - 20250318](sources/public-cloud-learning-sessions-reducing-cloud-costs-20250318-170100-meeting-reco.md) — 云成本优化策略，涵盖工作负载优化（现代化+Right Sizing）和费率优化（Savings Plans、预留实例） + 111| + 112|- [Public Cloud Learning Sessions - Best practices for EC2 cost optimization in AWS](sources/public-cloud-learning-sessions-best-practices-for-ec2-cost-optimization-in-aws-2.md) — EC2 成本优化最佳实践，涵盖 Graviton 迁移、Spot 实例利用和购买选项 + 113| + 114|- [Public Cloud Learning Sessions - Observability with OpenTelemetry](sources/public-cloud-learning-sessions-observability-with-opentelemetry-20240402-160113-.md) — OpenTelemetry 可观测性框架在 AWS 环境中的应用（Metrics、Logs、Traces 三大信号） + 115| + 116|- [Public Cloud Learning Sessions - Ollie Workflow and The Demand Process](sources/public-cloud-learning-sessions-ollie-workflow-and-the-demand-process-20240416.md) — Oli 工作流流程，用于超大规模云服务商的支出审批、需求管理和请求处理 + 117| + 118|- [我做了个 Skill：让 AI 帮你生成 Logo 和图标](sources/我做了个-Skill-让-AI-帮你生成-Logo-和图标.md) — AI 生成 Logo 的 Skill 工作流，三步生成专业设计资产 + 119| + 120|- [AI Memory Tools：两大阵营的深度解析](sources/AI-Memory-Tools-Two-Camps.md) — AI Agent 记忆工具的两大技术路线：记忆后端（Memory Backend）vs 上下文基质（Context Substrate） + 121| + 122|- [电商如何选品 如何找到爆款 选品策略](sources/dian-shang-xuan-pin-bao-kuan-xuan-pin-celue.md) — 跨境电商选品策略与爆款挖掘方法，20种产品选择策略 + 123| + 124|- [做TK跨境思路不对努力白费](sources/做TK跨境思路不对努力白费.md) — TikTok 跨境电商实战策略，从市场选择到团队建设的完整流程 + 125| + 126|- [Scrapy + Playwright 抓取TikTok Shop Data](sources/Scrapy-Playwright-抓取TikTok-Shop-Data.md) — Docker 容器内配置 Scrapy + Playwright 爬虫环境的完整指南（venv、依赖安装、运行命令） + 127|- [codecrafters-io/build-your-own-x](sources/codecrafters-iobuild-your-own-x-master-programming-by-recreating-your-favorite-technologies-from-scratch.md) — 通过从零重建22个技术领域掌握编程技能 + 128| + 129|- [Never write another prompt](sources/never-write-another-prompt.md) — 通过工具简化 AI 提示词创建流程 + 130| + 131|- [CTP Topic 34 Azure Landing Zone Architecture Overview](sources/ctp-topic-34-azure-landing-zone-architecture-overview.md) — Azure Landing Zone 架构设计，Management Groups、Subscription 分离、Terraform Cloud 自动化 + 132|- [CTP Topic 67 Cloud Native Observability Using OpenTelemetry](sources/ctp-topic-67-cloud-native-observability-using-opentelemetry.md) — 云原生可观测性方案，基于 ADOT 在 EKS 上的部署实践 + 133| + 134|- [CTP Topic 42 Grafana Observability Dashboard](sources/ctp-topic-42-grafana-observability-dashboard.md) — Grafana 可观测性平台与仪表盘设计，支持多数据源集成和 Terraform 自动化部署 + 135| + 136|- [CTP Topic 36 SendGrid as an email service](sources/ctp-topic-36-sendgrid-as-an-email-service.md) — SendGrid 被采用为 CTP 标准邮件服务，替换不安全的语义网关和受限的 SES 方案 + 137| + 138|- [CTP Topic 37 Secrets Certificates Management](sources/ctp-topic-37-secrets-certificates-management.md) — 云转型项目密钥与证书管理方案选型（AWS Secrets Manager vs HashiCorp Vault vs CyberArk PAM），30天试点验证后选择 AWS Secrets Manager + 139| + 140|- [CTP Topic 46 NetApps on AWS](sources/ctp-topic-46-netapps-on-aws.md) — NetApp on AWS (CVO) 架构、部署、数据分层、安全与迁移 + 141| + 142|- [CTP Topic 49 Container Lifecycle Hardening Standards](sources/ctp-topic-49-container-lifecycle-hardening-standards.md) — Micro Focus 容器生命周期加固标准，构建阶段 11 项安全最佳实践 + 143| + 144|- [CTP Topic 58 AWS EC2 Image Builder](sources/ctp-topic-58-aws-ec2-image-builder.md) — AWS EC2 Image Builder 服务，用于自动创建、管理和分发 AMIs 和 Docker 镜像 + 145| + 146|- [CTP Topic 26 Standard AMI – build, publish, share processes](sources/ctp-topic-26-standard-ami-build-publish-share-processes.md) — Foundation AMI 的构建、加固与分发流程 + 147| + 148|- [CTP Topic 50 AMI Roadmap for AWS AMIs](sources/ctp-topic-50-ami-roadmap-for-aws-amis.md) — AWS AMI 路线图与 CCOE 标准化 AMI 发布计划 + 149| + 150|- [CTP Topic 63 Optimise resource cost using automation](sources/ctp-topic-63-optimise-resource-cost-using-automation.md) — 通过自动化技术降低云资源成本，涵盖批准区域、实例类型优化、承诺计划、存储优化和自动化调度 + 151|- [CTP Topic 71 PCG's Guide to RightSizing, Why, How, When](sources/ctp-topic-71-pcgs-guide-to-rightsizing-why-how-when.md) — AWS 资源优化（Right Sizing）的全面指南，涵盖 Why、How、When 三大维度 + 152| + 153|- [Learning Sessions Cloud Transformation Programme 20230808](sources/learning-sessions-cloud-transformation-programme-20230808-183322-meeting-recording.md) — ECS 基础设施即代码部署，CTP 自研 ECS Terraform 模块 + 154| + 155|- [Learning Sessions Cloud Transformation Programme-Deploying RDS via Terraform](sources/Learning-Sessions-Cloud-Transformation-Programme-Deploying-RDS-via-Terraform.md) — 通过 Terraform 部署 Amazon RDS，Greg (DBRE) 介绍 IaC 优势和 Terragrunt 使用 + 156| + 157|- [CTP Topic 48 Terraform vs Terragrunt](sources/ctp-topic-48-terraform-vs-terragrunt.md) — Terraform 与 Terragrunt 对比，Terraform 是云无关 IaC 工具，Terragrunt 是 DRY 包装器 + 158| + 159|- [CTP Topic 16 Cross-account Terraform modules](sources/ctp-topic-16-cross-account-terraform-modules.md) — 多账号 AWS 环境中的跨账号 Terraform 模块实现，通过 Shared Account 中心化部署方案实现安全自动化 + 160| + 161|- [养虾日记1：我用 OpenClaw 管了 28 万张照片：一次真实的多设备照片整理实战](sources/养虾日记1-我用-OpenClaw-管了-28-万张照片-一次真实的多设备照片整理实战.md) — 利用 AI Agent 自动化整理 28 万张照片（MD5 去重 + 批次任务 + Cron 定时执行） + 162| + 163|- [教學 ChatGPT 先做知識整理，再讓 Canva、 Gamma AI 輸出簡報](sources/jiao-xue-chatgpt-xian-zuo-zhi-shi-zheng-li-zai-rang-canva-gamma-ai-shu-chu-jian-bao.md) — AI 简报制作四阶段工作流（ChatGPT 资料研究 + Canva/Gamma 设计） + 164| + 165|- [养虾日记2：让Agent更懂你：OpenClaw + Self-Improving 复盘实战案例分享](sources/养虾日记2-让Agent更懂你-OpenClaw-Self-Improving-复盘实战案例分享.md) — AI Agent 记忆问题的解决方案（self-improving skill + 双层记忆架构 + 每日复盘机制） + 166| + 167|- [养虾日记3：用 Obsidian + Gitea 为 AI 助手构建持久化笔记系统](sources/养虾日记3-用-Obsidian-Gitea-为-AI-助手构建持久化笔记系统.md) — Obsidian + Gitea + OpenClaw 实现 AI 输出持久化 + 168| + 169|- [养虾日记4：一次「Context Limit Exceeded」错误排查：我以为是小问题，结果踩了大坑](sources/养虾日记4-一次「Context-Limit-Exceeded」错误排查-我以为是小问题-结果踩了大坑.md) — OpenClaw AI Agent 的 Context Limit 错误排查（模型配置问题、Gateway 日志分析、两层配置分清） + 170| + 171|- [养虾日记5：深夜与苏轼聊AI，他说：被浪打下去还能爬起来的才叫风流](sources/养虾日记5-深夜与苏轼聊AI-他说-被浪打下去还能爬起来的才叫风流.md) — 用AI蒸馏历史人物思维框架，创建可对话的"数字导师"（思维蒸馏、女娲·Skill、6维度采集） + 172| + 173|- [养龙虾5天血泪史](sources/养龙虾5天血泪史-我的AI-Agent为什么总失忆-OpenClaw-记忆调试全记录.md) — OpenClaw 内存管理问题诊断与解决（5天调试经验、10条黄金法则） + 174| + 175|- [Autonomous Educational Game Development Pipeline](sources/autonomous-game-dev-pipeline.md) — AI Agent 自主管理教育游戏全生命周期的工作流（Game Developer Agent、Bugs First 策略、Git 自动化） + 176|- [Learn AI for free directly from top companies](sources/learn-ai-for-free-directly-from-top-companies.md) — 汇总 10 个顶级科技公司提供的免费 AI 学习和培训资源（Anthropic、Google、Meta、NVIDIA、Microsoft、OpenAI、IBM、AWS、DeepLearning.AI、Hugging Face） + 177|- [X Account Analysis](sources/x-account-analysis.md) — 使用 OpenClaw 分析 X 账户发布质量的工作流（Bird Skill、定性分析） + 178|- [Goal-Driven Autonomous Tasks](sources/overnight-mini-app-builder.md) — AI Agent 自主目标驱动任务生成与执行工作流 + 179|- [Autonomous Project Management with Subagents](sources/autonomous-project-management.md) — 去中心化多 Subagent 项目管理模式，通过共享 STATE.yaml 协调任务 + 180|- [Multi-Channel Assistant](sources/multi-channel-assistant.md) — AI 助手通过多渠道整合实现任务、日程、消息和提醒的统一管理 + 181|- [Custom Morning Brief](sources/custom-morning-brief.md) — AI Agent 定时发送自动化早间简报（新闻、待办、任务推荐） + 182|- [Daily Reddit Digest](sources/daily-reddit-digest.md) — AI Agent 定时从 Reddit 热门子版块获取热门帖子并生成每日摘要 + 183|- [Dynamic Dashboard with Sub-agent Spawning](sources/dynamic-dashboard-with-sub-agent-spawning.md) — 实时动态仪表盘系统，通过 Sub-agent 并行获取多数据源数据 + 184|- [Health & Symptom Tracker](sources/health-symptom-tracker.md) — AI Agent 自动追踪食物和症状的工作流 + 185|- [Self-Healing Home Server & Infrastructure Management](sources/self-healing-home-server-infrastructure-management.md) — AI Agent 作为家庭基础设施的自动化运维代理（OpenClaw、cron 作业、自愈修复、安全审计） + 186|- [AI-Powered Earnings Tracker](sources/ai-powered-earnings-tracker.md) — AI Agent 自动追踪科技公司财报的工作流（Cron Jobs、Telegram 推送） + 187|- [N8N Full Tutorial Building AI Agents in 2025 for Beginners!](sources/n8n-full-tutorial-building-ai-agents-in-2025-for-beginners.md) — N8N 平台构建 AI Agent 的入门教程（节点类型、工具集成、记忆机制） + 188|- [Multi-Channel AI Customer Service Platform](sources/multi-channel-ai-customer-service-platform.md) — 多渠道AI客服平台，整合WhatsApp、Instagram、邮件和Google Reviews统一管理 + 189|- [Second Brain](sources/second-brain.md) — AI Agent 作为个人记忆捕获系统，通过即时通讯零摩擦捕获+Next.js 搜索界面 + 190|- [Personal Knowledge Base (RAG)](sources/knowledge-base-rag.md) — AI Agent 驱动的个人知识库系统，通过语义搜索实现信息的有效检索 + 191|- [LLM Wiki](sources/LLM-Wiki.md) — LLM 持续编译和维护的持久化 wiki 模式，让知识在 source → wiki 的过程中持续累积 + 192|- [Multi-Agent Content Factory](sources/multi-agent-content-factory.md) — 在 Discord 中构建多 Agent 内容工厂，实现研究→写作→设计自动化流水线 + 193|- [Dataview——让我从"笔记黑洞"里逃出来的 Obsidian 神器](sources/Dataview-让我从-笔记黑洞-里逃出来的-Obsidian-神器-1.md) — 微信公众号「赫点茶」分享的 Dataview 插件使用体验，让笔记真正"活"起来 + 194|- [为什么你的笔记总是乱糟糟？试试这个方法，彻底告别信息混乱！](sources/bi-ji-zheng-li-fang-fa-ga-bie-hun-luan.md) — 微信公众号「赫点茶」分享的笔记整理方法 + 195|- [开发经验与项目规范整理文档](sources/kai-fa-jing-yan-yu-xiang-mu-gui-fan-zheng-li-wen-dang.md) — 软件开发经验与项目规范整理（变量名维护、文件结构、编码规范、架构原则） + 196|- [Obsidian最有必要安装的10款插件是这些](sources/obsidian-most-essential-plugins.md) — Obsidian 最核心的 10 款必要插件推荐与组合使用建议 + 197|- [Obsidian 高效指南：我常用的插件与实用技巧](sources/obsidian-ga-xiao-zhi-nan-wo-chang-yong-de-cha-jian-yu-shi-ji-qiao.md) — 作者分享的插件使用技巧与知识管理方法 + 198|- [Obsidian Tasks 插件：这可能是最适合懒人的任务管理方式](sources/obsidian-tasks-plugin-lazy-friendly-task-management.md) — Obsidian Tasks 插件的使用体验与效率提升 + 199|- [为什么 Obsidian 让我戒掉了碎片化记录](sources/wei-shi-yao-obsidian-rang-wo-jie-diao-le-sui-pian-hua-ji-lu.md) — 微信公众号「赫点茶」关于 Obsidian 双链机制解决碎片化记录的分享 + 200|- [ChinaTextbook - 41.53 GB，中国小学、初中、高中、大学 PDF 教材](sources/chinatextbook-41-53-gb-china-textbook-pdf.md) — ChinaTextbook GitHub 项目，收集公开的中国 K12 及大学 PDF 教材 + 201|- [如何在项目里安装 Claude Code Templates Skills](sources/如何在项目里安装claude-code-templates-skills.md) — Claude Code Templates 模板平台的安装使用方法（通过 npx 安装 Skills、Agents、MCP 模板） + 202|- [Vibe Coding 经验收集](sources/vibe-coding-experience-collection.md) — Vibe Coding（氛围编程）的实践经验与方法论（伪代码→代码流程、点→线→体迭代、系统 Prompt 优化） + 203|- [Trae远程开发部署指南](sources/trae-remote-development-deployment-guide.md) — Trae IDE 远程连接 Ubuntu 服务器进行 Docker 项目开发的配置指南（SSH 免密、Remote-SSH 插件、两种开发模式） + 204|- [Ubuntu用RustDesk远程登录出现不能使用Wayland登录的错误](sources/ubuntu-rustdesk-wayland-login-error.md) — Ubuntu 24.04 使用 RustDesk 远程桌面时无法在 Wayland 登录界面工作的解决方案 + 205|- [如何在Ubuntu上安装opencode并配置Vibe-Kanban](sources/如何在ubuntu上安装opencode并配置vibe-kanban.md) — OpenCode AI 编程助手的安装、配置与使用指南（Zen 模型列表、Plan/Build 双模式、AGENTS.md 项目初始化） + 206|- [Last30Days 使用指南](sources/Last30Days-使用指南.md) — 多平台热门内容研究工具的使用指南 + 207|- [在Ubuntu 上安装Vibe-Kanban](sources/ubuntu-vibe-kanban-installation.md) — 在 Ubuntu 系统上通过 npx 安装 Vibe-Kanban 并使用 pm2 进行进程管理的完整指南 + 208|- [Cursor 2.0 初学者使用指南](sources/cursor-2.0-beginner-guide.md) — Cursor 2.0 AI 增强代码编辑器的初学者使用教程（安装、界面、AI 代理、代码生成与审查） + 209|- [如何传输 Docker images 并且在另一个 Docker 安装](sources/docker-images-transfer-guide.md) — Docker 镜像在不同主机之间的传输方法，使用 save/load 命令实现离线迁移 + 210|- [用Docker安装Homarr](sources/docker-homarr-installation.md) — 使用 Docker 部署 Homarr 仪表板应用的配置文件 + 211|- [用Docker安装Apache Superset](sources/用docker安装apache-superset.md) — 使用 Docker 部署 Apache Superset 开源 BI 平台的安装配置指南 + 212|- [家庭网络环境概览](sources/home-network-environment-overview-2026-04-03.md) — 家庭网络基础设施架构与多服务部署方案（FRP、Caddy、Cloudflare） + 213|- [删除旧 Portainer Container + Volume](sources/removing-old-portainer-container-volume.md) — 清理旧的 Portainer 容器、网络和数据卷的完整流程 + 214|- [用 Docker 安装 Portainer](sources/portainer-docker-installation-guide.md) — 使用 Docker 部署 Portainer 可视化管理工具 + 215|- [Ubuntu 禁用合盖休眠](sources/ubuntu-disable-lid-close-sleep.md) — 在 Ubuntu 24.04 中禁用笔记本合盖休眠行为 + 216|- [安装v2rayN](sources/install-v2rayn.md) — v2rayN 多平台安装指南（Windows、Linux、macOS） + 217|- [Install Apache Superset in Docker](sources/install-apache-superset-in-docker.md) — 使用 Docker 部署 Apache Superset 开源 BI 工具 + 218|- [Ubuntu Server科学上网指南](sources/ubuntu-server-scientific-internet-access-guide.md) — 在 Ubuntu Server 上配置代理实现科学上网（V2RayN + ProxyChains + Git/Docker 代理配置） + 219|- [3X-UI Xray on BandwagonVPS](sources/3x-ui-xray-on-bandwagonvps.md) — 在 Bandwagon VPS 上安装配置 3X-UI 面板管理 Xray 代理服务 + 220|- [可自动化、可扩展、AI增强的电商数据采集与处理系统](sources/ai-enhanced-ecommerce-data-collection-processing-system.md) — 基于 Docker + n8n + Scrapy + Playwright 的电商数据采集与处理系统设计 + 221|- [MySQL MariaDB 数据库详细信息](sources/mysql-mariadb-database-details.md) — MySQL/MariaDB 数据库配置与远程访问用户创建 + 222|- [Cloud Operating Model: Key Strategies and Best Practices](sources/Cloud-Operating-Model-Key-Strategies-and-Best-Practices.md) — 云运营模型（COM）四大支柱：治理、自动化、安全、成本管理，涵盖金融、医疗、零售、SaaS 行业用例 + 223|- [用Docker中安装Navidrome](sources/用Docker中安装Navidrome.md) — 使用 Docker 部署 Navidrome 音乐流媒体服务器的配置文件示例 + 224|- [What is DevSecOps? Best Practices, Benefits, and Tools](sources/what-is-devsecops-best-practices-benefits-and-tools.md) — DevSecOps 方法论详解（定义、SDLC 集成、4 大工具类型、Shift Left/Right 策略） + 225|- [RTO vs RPO: Key Differences for Modern Disaster Recovery](sources/RTO-vs-RPO-Key-Differences-for-Modern-Disaster-Recovery.md) — RTO（恢复时间目标）与 RPO（恢复点目标）的定义、区别及 Feature Flag 在现代持续交付中的应用 + 226|- [These 6 Linux apps let you monitor system resources in style](sources/These-6-Linux-apps-let-you-monitor-system-resources-in-style.md) — 6 款 Linux 系统资源监控工具评测（TUI：btop++、htop、glances、bottom；GUI：Mission Center、Stacer） + 227|- [Public vs Private vs Hybrid: Cloud Differences Explained](sources/Public-vs-Private-vs-Hybrid-Cloud-Differences-Explained.md) — 公有云、私有云和混合云的核心区别与选择指南 + 228|- [Understanding Complete ITSM](sources/understanding-complete-itsm.md) — 现代 IT 服务管理的全面演进 + 229|- [How Agentic AI can help for Cloud DevOps](sources/How-Agentic-AI-can-help-for-Cloud-DevOps.md) — Agentic AI 增强 Cloud DevOps 的七大领域（自动化事件响应、成本优化、安全合规等） + 230|- [The Myths and Misconceptions About Cloud Computing | LinkedIn](sources/The-Myths-and-Misconceptions-About-Cloud-Computing-LinkedIn.md) — 云计算常见误解与真相 + 231|- [How Can a Multi Cloud Strategy Transform Your Business ROI?](sources/How-Can-a-Multi-Cloud-Strategy-Transform-Your-Business-ROI.md) — 多云策略如何提升业务ROI（定义、优势、实施方法） + 232|- [DevOps Culture and Transformation: Fostering Collaboration, Agile Practices, and Innovation](sources/DevOps-Culture-and-Transformation.md) — DevOps 文化转型与敏捷实践方法论 + 233|- [Cloud DevOp Maturity - Guideline](sources/cloud-devop-maturity-guideline.md) — 企业级 SaaS 公司的 DevOps 成熟度评估框架 + 234|- [Cloud Maturity Model A Detailed Guide For Cloud Adoption](sources/Cloud-Maturity-Model-A-Detailed-Guide-For-Cloud-Adoption.md) — 云成熟度模型（CMM）的5级框架及最佳实践指南 + 235|- [DevOps Maturity Model From Traditional IT to Advanced DevOps](sources/DevOps-Maturity-Model-From-Traditional-IT-to-Advanced-DevOps.md) — DevOps 成熟度五级框架（初始→完全成熟），涵盖文化、自动化、流程、协作、技术五大评估领域 + 236|- [How to Simplify Multi-Account Deployments Monitoring: Centralized Logs for AWS CloudFormation StackSets](sources/how-to-simplify-multi-account-deployments-monitoring-centralized-logs-for-aws-cloudformation-stacksets.md) — 多账号环境下 CloudFormation StackSets 部署监控的集中化日志解决方案 + 237|- [Modern ITSM: Driving Efficiency, Security & Resilience](sources/modern-itsm-driving-efficiency-security-resilience.md) — 现代 IT 服务管理的演进趋势，AIOps、零信任架构等技术的应用 + 238|- [通过 VPS+内网反向代理实现域名访问内网穿透](sources/vps-frp-reverse-proxy-internal-network-access.md) — 通过 FRP+Caddy 实现内网服务穿透，Aliyun DNS 域名管理 + 239|- [在Ubuntu上通过VPS+内网反向代理实现域名访问内网穿透](sources/vps-frp-reverse-proxy-ubuntu-internal-network-access.md) — 在 Ubuntu 上通过 FRP+Caddy 实现内网穿透，侧重 SSH 穿透配置 + 240|- [Mac Mini 安装 FRP 0.65.0（ARM64）操作笔记](sources/mac-mini-install-frp-0-65-0-arm64-operation-guide.md) — 在 Mac Mini M4（Apple Silicon/ARM64）上安装 FRP 0.65.0 客户端，实现内网穿透和远程访问 + 241|- [Mac Mini 服务器配置：防止自动锁屏与睡眠](sources/mac-mini-server-prevent-auto-lock-sleep.md) — 配置 Mac Mini 防止自动锁屏和睡眠，确保远程访问持续可用（pmset、caffeinate） + 242|- [Ubuntu 服务器通过 rsync 实现日常增量备份](sources/ubuntu-rsync-incremental-backup-guide.md) — 使用 rsync 实现 Ubuntu 服务器到 NAS 的增量备份，涵盖 NFS 永久挂载和灾难恢复 + 243|- [万字讲透OpenClaw🦞从"能用"到"真好用"的分水岭：Workspace 深度解析](sources/万字讲透OpenClaw-Workspace深度解析-2026-03-21.md) — OpenClaw workspace 文件体系深度解析（AGENTS.md、SOUL.md、USER.md、IDENTITY.md、TOOLS.md、BOOTSTRAP.md、memory/） + 244|- [在 Ubuntu 安装 Ollama 并运行 Qwen2.5-Coder 7B](sources/ubuntu-install-ollama-run-qwen2.5-coder-7b.md) — 在 Ubuntu 系统上安装 Ollama 本地大模型运行环境并运行 Qwen2.5-Coder 7B 模型 + 245|- [如何在Ubuntu Server上通过NFS挂载Synology NAS上的共享文件夹](sources/ubuntu-server-nfs-synology-nas-mount-guide.md) — 在 Ubuntu Server 上通过 NFS 协议挂载 Synology NAS 共享文件夹 + 246|- [如何在 Ubuntu Server 安装 docker & docker compose](sources/ubuntu-server-docker-docker-compose-installation.md) — 在 Ubuntu Server 上安装 Docker Engine 和 Docker Compose V2 的完整步骤 + 247|- [Linux 运维必会的 150 个命令](sources/Linux-运维必会的-150-个命令.md) — Linux 系统管理常用命令的分类汇总（12类150个命令） + 248|- [NodeWarden - 把 Bitwarden 搬上 Cloudflare Workers](sources/nodewarden-bitwarden-cloudflare-workers-serverless-deployment.md) — 使用 Cloudflare Workers 部署自托管 Bitwarden 密码服务器 + 249|- [网件RAX50路由器刷梅林固件与科学上网插件安装教程](sources/netgear-rax50-merlin-firmware-clash-installation-guide.md) — 网件RAX50路由器刷入梅林固件并安装科学上网插件的完整教程 + 250|- [RAX50 路由器更新 Merlin Clash 订阅指南](sources/rax50-router-update-merlin-clash-subscription.md) — RAX50 路由器 Merlin Clash 订阅更新教程 + 251|- [用Docker安装it-tools](sources/docker-it-tools-installation-guide.md) — 使用 Docker 部署 it-tools 运维工具集合 + 252|- [用Docker安装Jellyfin](sources/docker-jellyfin-installation.md) — 使用 Docker 部署 Jellyfin 媒体服务器的配置文件示例 + 253|- [用Docker安装transmission](sources/docker-transmission-installation-guide.md) — 使用 Docker 部署 Transmission BT 下载客户端 + 254|- [Ubuntu 24.04 启动 SSH 服务](sources/ubuntu-24.04-enable-ssh.md) — 在 Ubuntu 24.04 中启用 SSH 服务的完整步骤（安装、配置、防火墙） + 255|- [Clonezilla对Ubuntu Server进行全盘镜像备份](sources/clonezilla-ubuntu-server-full-disk-backup.md) — 使用 Clonezilla 实现 Ubuntu Server 全盘镜像备份到 NAS + 256|- [Synology NAS + Xiaoya Alist + CloudDrive2 + Plex 搭建家庭媒体平台](sources/synology-nas-xiaoya-alist-clouddrive2-plex-media-platform.md) — 利用群晖NAS + Xiaoya Alist + CloudDrive2 + Plex 搭建家庭媒体平台 + 257|- [在 HP ZBook 工作站笔记本上安装 Ubuntu 24.04.2](sources/ubuntu-24.04.2-hp-zbook-installation-guide.md) — 在 HP ZBook 工作站上安装 Ubuntu 24.04.2 桌面版的完整指南，包含分区配置和启动修复 + 258|- [如何用指纹浏览器安全注册并订阅Claude Pro会员全攻略](sources/claude-pro-fingerprint-browser-subscription-guide.md) — 通过指纹浏览器 + 高纯净度代理 IP 安全注册并订阅 Claude Pro 会员 + 259|- [如何判别你的Linux 服务器是 x64（也就是 x86_64）还是 ARM64](sources/linux-x64-arm64-detection-guide.md) — Linux 服务器架构类型（x86_64 与 ARM64）的 4 种命令行检测方法 + 260|- [在Synology NAS上安装CloudDrive2](sources/synology-nas-clouddrive2-installation.md) — 在 Synology NAS 上安装配置 CloudDrive2 挂载阿里云盘 + 261|- [家庭监控方案：Prometheus + Grafana + Node Exporter + cAdvisor + Blackbox](sources/家庭监控方案-prometheus-grafana-node-exporter-cadvisor-blackbox.md) — 使用开源组件实现家庭监控的完整方案 + 262|- [macOS 创建与解除 Symbolic Link（OpenClaw 目录映射）](sources/macos-symbolic-link-openclaw-directory-mapping.md) — macOS 符号链接的创建与解除方法，将 OpenClaw 隐藏目录映射为可见目录 + 263|- [群晖NAS科学上网方法](sources/synology-nas-scientific-internet-guide.md) — 在群晖 NAS 上通过 V2RayA 配置透明代理，使 Docker 可以科学上网 + 264|- [MinIO + Zipline 自托管图床应用安装教程](sources/minio-zipline-self-hosted-image-bed-tutorial.md) — 在 Synology NAS 上使用 Docker 部署 MinIO + Zipline 自托管图床 + 265|- [TikTok PM - Python Django Project](sources/TikTok-PM-Python-Django-Project.md) — TikTok 产品管理系统（Django Web 应用），涵盖 Django Admin 定制、DRF API、异步任务、Docker 部署完整指南 + 266|- [用Docker安装Homarr](sources/docker-homarr-installation-guide.md) — 使用 Docker 部署 Homarr 仪表板应用的配置文件 + 267|- [How to Get the RSS Feed For Any YouTube Channel](sources/how-to-get-the-rss-feed-for-any-youtube-channel.md) — 通过 View Page Source 获取 YouTube 频道 RSS 订阅源 + 268|- [How to get Youtube Channel ID](sources/how-to-get-youtube-channel-id.md) — 通过 view-source 获取 YouTube 频道 ID 的方法 + 269|- [n8n Docker install & update](sources/n8n-docker-install-update.md) — n8n 工作流自动化工具的 Docker 部署与网络代理配置 + 270|- [n8n configure telegram trigger](sources/n8n-configure-telegram-trigger.md) — n8n Telegram Trigger 配置问题排查与解决（设置 WEBHOOK_URL 环境变量为 HTTPS URL） + 271|- [n8n+Claude 通过自然语言自动化工作流](sources/n8n-Claude-通过自然语言自动化工作流.md) — n8n 与 Claude 集成，通过自然语言自动化工作流 + 272|- [OpenClaw + n8n Workflow Orchestration](sources/n8n-workflow-orchestration.md) — AI Agent 通过 n8n webhook 代理实现凭证隔离和安全交互 + 273|- [OpenClaw as Desktop Cowork (AionUi)](sources/aionui-cowork-desktop.md) — AionUi 桌面端协同工作界面 + OpenClaw 远程救援与多 Agent 管理 + 274|- [Google 5个Agent Skill设计模式](sources/Google-5-Agent-Skill-design-patterns-2026-03-19.md) — Google Cloud 发布的 5 种 Agent Skill 设计模式（Tool Wrapper、Generator、Reviewer、Inversion、Pipeline） + 275|- [MCP在Cursor中的集成与应用详解](sources/MCP-zai-Cursor-zhong-de-ji-cheng-yu-ying-yong-xiang-jie.md) — 在 Cursor IDE 中集成和使用 MCP（Modal Context Protocol）协议的教程 + 276|- [使用Claude自动生成N8N工作流的实操教程](sources/使用Claude自动生成N8N工作流的实操教程.md) — 利用 Claude AI 助手自动生成 n8n 工作流的实操教程（n8n-mcp 集成、Opensea 模型配置） + 277|- [万字保姆级教程，让你90天跑通"一人公司"模式（附AI提示词）](sources/万字保姆级教程-让你90天跑通一人公司模式-附AI提示词.md) — 通过找到个人优势实现一人公司模式的方法论（天才地带自检、Ikigai交集、产品体系搭建） + 278|- [Multi-Agent Specialized Team (Solo Founder Setup)](sources/multi-agent-team.md) — Solo founder 通过多 Agent specialized team 实现高效工作模式（角色定义、共享内存、Telegram 控制、定时任务） + 279| + 280|- [多智能体系统可靠性](sources/Multi-Agent-System-Reliability.md) — 多智能体系统可靠性四种架构模式：层级结构、共识投票、对抗式辩论、淘汰制 + 281| + 282|- [Event Guest Confirmation](sources/event-guest-confirmation.md) — AI Agent 自动外呼确认活动宾客出席（SuperCall、Twilio、GPT-4o Realtime） + 283|- [Podcast Production Pipeline](sources/podcast-production-pipeline.md) — 多 Agent 协同的播客生产流水线，将录制前研究、脚本、Show Notes、社交媒体素材、SEO 描述等 70% 非创意性工作自动化 + 284|- [Automated Meeting Notes & Action Items](sources/meeting-notes-action-items.md) — AI Agent 自动将会议转录转化为结构化笔记，并在项目管理工具（Jira、Linear、Todoist）中创建任务 + 285|- [Daily YouTube Digest](sources/daily-youtube-digest.md) — AI Agent 自动从订阅频道获取视频并生成每日摘要的工作流 + 286|- [YouTube Content Pipeline](sources/youtube-content-pipeline.md) — YouTube 内容策划与研究自动化流水线 + 287|- [Pre-Build Idea Validator](sources/pre-build-idea-validator.md) — AI Agent 项目启动前的创意验证机制（MCP server 扫描 GitHub、npm、PyPI 等计算竞争度评分） + 288|- [Project State Management System](sources/project-state-management.md) — 事件驱动系统替代 Kanban 看板，通过数据库存储项目状态和历史事件，AI Agent 自然语言交互追踪进度 + 289|- [Phone-Based Personal Assistant](sources/phone-based-personal-assistant.md) — 基于电话的AI个人助理，通过语音与OpenClaw交互（ClawdTalk、Telnyx） + 290|- [Market Research & Product Factory](sources/market-research-product-factory.md) — AI 辅助创业自动化流水线（Last 30 Days、Reddit/X 痛点挖掘、MVP 构建） + 291|- [Inbox De-clutter](sources/inbox-declutter.md) — Newsletter 邮件自动化整理与摘要生成（Cron Jobs、用户反馈优化） + 292|- [Todoist Task Manager: Agent Task Visibility](sources/todoist-task-manager-agent-task-visibility.md) — 通过 Todoist API 将 AI Agent 内部推理和进度日志同步到任务管理工具，实现长时间运行任务的可视化追踪 + 293|- [Habit Tracker & Accountability Coach](sources/habit-tracker-accountability-coach.md) + 294|- [LaTeX Paper Writing](sources/latex-paper-writing.md) — AI Agent 作为 LaTeX 写作助手，无本地 TeX Live 即可即时编译 PDF + 295|- [Local CRM Framework with DenchClaw](sources/local-crm-framework-with-denchclaw.md) — 使用 DenchClaw 框架将 OpenClaw 转变为本地 CRM 系统 + 296|- [Polymarket Autopilot: Automated Paper Trading](sources/polymarket-autopilot.md) — AI Agent 自动化模拟交易预测市场（TAIL、BONDING、SPREAD 策略） + 297|- [Personal CRM with Automatic Contact Discovery](sources/personal-crm.md) — AI Agent 自动构建和维护个人 CRM 系统（cron job 扫描邮件日历、自然语言查询、会议准备简报） + 298|- [Phone Call Notifications](sources/phone-call-notifications.md) — AI Agent 通过电话主动呼叫推送重要通知（clawr.ing、双向语音对话） + 299|- [Multi-Source Tech News Digest](sources/multi-source-tech-news-digest.md) — AI Agent 自动从 109+ 来源（RSS、Twitter、GitHub、Web搜索）聚合、评分并推送技术新闻 + 300|- [家庭日历聚合与生活助手](sources/family-calendar-household-assistant.md) — 将 OpenClaw 构建为家庭协调代理，聚合多平台日历、监控消息自动创建日程、管理家庭库存和购物清单 + 301|- [Semantic Memory Search](sources/semantic-memory-search.md) — 为 OpenClaw 添加向量语义搜索能力 + 302|- [不谈技术：普通人该怎么在AI时代赚钱？](sources/bu-tan-ji-shu-pu-tong-ren-gai-zen-me-zai-ai-shi-dai-zhuan-qian.md) — AI时代普通人赚钱策略（品味护城河、端到端、死亡过滤器） + 303| + 304|- [如果你有多项兴趣爱好，不要浪费接下来的两三年时间](sources/如果你有多项兴趣爱好-不要浪费接下来的两三年时间.md) — 多兴趣人群在AI时代的自我教育与创业策略 + 305|- [二创视频必不可少！2025年最热门AI工具推荐合集-AI配音、声音克隆](sources/二创视频必不可少-2025年最热门AI工具推荐合集-AI配音-声音克隆.md) — 7款主流AI配音及声音克隆工具推荐（ElevenLabs、海螺AI、F5-TTS、TTSMaker、剪映、魔音工坊、AnyVoice） + 306| + 307|- [一语点醒梦中人](sources/一语点醒梦中人.md) — 中国古代哲学智慧名言解读（王维、曾国藩、老子、庄子、佛陀） + 308| + 309|- [固定镜头短视频制作的AI全流程解析](sources/固定镜头短视频制作的AI全流程解析.md) — 利用 AI 技术制作高播放量家装短视频的完整流程（固定机位 + 分镜拆解 + 九宫格图像 + 首尾针动画） + 310| + 311|- [14个免费的AI图生视频工具，用AI让图片动起来](sources/14个免费的AI图生视频工具-yi-ai-rang-tu-pian-dong-qi-lai.md) — 14个免费 AI 图生视频工具评测与推荐（绘蛙、智谱清影、通义万相、Vidu、可灵等） + 312| + 313|- [全网最全！Nano Banana 2 使用指南（2025年12月更新）](sources/全网最全-Nano-Banana-2-使用指南-2025年12月更新-1.md) — 国内使用 Nano Banana 2 的完整指南，通过 DeepSider 插件实现国内访问 + 314| + 315|- [谷歌Nano Banana Pro提示词指南](sources/google-nano-banana-pro-prompt-guide.md) — Google 发布的 Nano Banana Pro 图像生成模型的专业级提示词设计指南（10个专业内容生产技巧、4K 级输出） + 316| + 317|- [Nano Banana 提示词框架](sources/Nano-Banana-提示词框架.md) — Google Nano Banana 图像生成模型的提示词框架（物件描述、人物描述两类结构化 JSON 模板） + 318| + 319|- [A Formalization of Recursive Self-Optimizing Generative Systems](sources/a-formalization-of-recursive-self-optimizing-generative-systems.md) — 递归自优化生成系统的形式化定义与不动点结构 + 320| + 321|- [详细！离线部署大模型：ollama+deepseek+open-webui安装使用方法及常见问题解决](sources/详细-离线部署大模型-ollama-deepseek-open-webui安装使用方法及常见问题解决.md) — 本地离线部署 Ollama + DeepSeek + Open-WebUI 全流程指南（Docker 部署、模型离线下载、API 配置） + 322| + 323|- [Designing for Agentic AI](sources/designing-for-agentic-ai.md) — AI Agent 产品设计的五大最佳实践（透明度、控制力、个性化、对话、预判） + 324| + 325|- [Google 神级生产力工具，所有 GitHub 开源平替都找到了](sources/Google-神级生产力工具-所有-GitHub-开源平替都找到了.md) — 7 款 NotebookLM 开源平替工具汇总（Open Notebook、SurfSense、Podcastfy 等） + 326| + 327|- [文字生成视频网站推荐](sources/文字生成视频网站推荐.md) — 5 款文字生成视频 AI 工具评测（万彩AI、百度AI、Zeemo、Vizard、快影） + 328| + 329|- [LLMs、RAG、AI Agent 三个到底什么区别？](sources/LLMs-RAG-AI-Agent-san-ge-dao-di-shen-me-qu-bie.md) — LLM、RAG、AI Agent 三者区别与组合架构（思考用 LLM、认知用 RAG、执行用 Agent） + 330| + 331|- [OpenAI ChatGPT 个性化定义](sources/OpenAI-ChatGPT-个性化定义.md) — ChatGPT 个性化配置与自定义指令设置 + 332| + 333|- [The Picture They Paint of You](sources/The-Picture-They-Paint-of-You.md) — AI SRE 与编码助手的市场营销定位差异，揭示技术行业对不同角色的认知偏差 + 334| + 335|- [Best 7 news API data feeds - AI News](sources/best-7-news-api-data-feeds-ai-news.md) — 7 款主流新闻 API 数据源对比与选型指南 + 336| + 337|- [Claude Prompt 库汇总](sources/Claude-Prompt-库汇总.md) — Claude AI 助手提示词库的功能分类与推荐（95个提示词模板） + 338| + 339|- [不会Gemini的产品经理真的要被淘汰了 | 附保姆级PRD生成指南](sources/不会Gemini的产品经理真的要被淘汰了-附保姆级PRD生成指南.md) — AI 时代产品经理的能力重塑，Gemini 赋能 PRD 文档生成 + 340| + 341|- [我用 Gemini 3 一口气做了 10 个应用，附教程](sources/我用-Gemini-3-一口气做了-10-个应用-附教程.md) — 使用 Gemini 3 开发 10 个创意应用的方法论与实战案例 + 342| + 343|- [3.2 万人收藏的 Claude Skills，才是 AI 这条路上最值得研究的一套范式！](sources/3-2-wan-ren-shou-cang-de-claude-skills-ai-zhe-tiao-lu-shang-zui-zhi-de-yan-jiu-de-yi-tao-fan-shi.md) — Claude Skills 范式介绍与资源汇总（官方仓库、Awesome 仓库、Skill 聚合站） + 344| + 345|- [宝玉 Claude Code 技能集](sources/baoyu-skills-claude-code-技能集.md) — Claude Code/AI Agent 技能集成的安装与使用方法（内容生成、AI 图像生成、工具类自动化） + 346| + 347|- [GitHub 上 5000 人收藏的 Vibe Coding 神级指南](sources/github-5000-ren-shou-cang-de-vibe-coding-shen-ji-zhi-nan.md) — vibe-coding-cn 中文指南项目介绍 + 348| + 349|- [系统提示词构建原则](sources/xi-tong-ti-shi-ci-gou-jie-yuan-ze.md) — AI 编码助手的系统级 Prompt 设计原则（六维度：身份行为、沟通、任务执行、技术规范、安全防护、工具使用） + 350| + 351|- [如何写出完美的Prompt（提示词）？](sources/如何写出完美的Prompt-提示词-.md) — Prompt 能力是职场底层技能，包含需求拆解、结构化表达、场景共情、迭代优化四个维度 + 352| + 353|- [Nano-Banana Pro 提示词指南与策略](sources/nano-banana-pro-prompting-guide-strategies-1.md) — Google Nano-Banana Pro 图像生成模型的专业级提示词设计指南（10大核心能力、4条黄金法则） + 354| + 355|- [大模型相关术语和框架总结｜LLM、MCP、Prompt、RAG、vLLM、Token、数据蒸馏](sources/大模型相关术语和框架总结-LLM-MCP-Prompt-RAG-vLLM-Token-数据蒸馏.md) — 大模型领域核心术语科普（LLM、MCP、Agent、RAG、embedding、vLLM、Token、数据蒸馏） + 356| + 357|- [AI 解决方案专家培训课程](sources/AI-解决方案专家培训课程.md) — Coze 平台 AI Agent 开发实战培训，覆盖金融、医疗、教育、电商等 7 大行业 + 358| + 359|- [如何利用Sora接口实现视频自动化生成工作流](sources/如何利用Sora接口实现视频自动化生成工作流.md) — 利用 Sora 接口和 n8n 实现视频生成的自动化工作流 + 360| + 361|- [GOG-CLI 安装配置指南](sources/GOG-CLI-安装配置指南.md) — 在 macOS 系统上安装和配置 gog CLI，管理 Google Workspace 六大服务 + 362| + 363|- [Install WSL](sources/install-wsl.md) — Windows 上使用 wsl --install 命令一键安装 Linux 子系统 + 364| + 365|- [实战笔记：本地部署 RSSHub 并获取 YouTube 订阅](sources/实战笔记-本地部署-RSSHub-并获取-YouTube-订阅.md) — 在 Ubuntu Server 上通过 Docker 部署 RSSHub 并配置 YouTube Data API + 366| + 367|- [Mac 必装软件清单](sources/Mac-必装软件清单-2026-04-17.md) — Mac 效率软件推荐，从 Windows 转 Mac 用户必备工具 + 368|- [WSL2 启动与网络配置指南](sources/WSL2-启动与网络配置指南.md) — WSL2 在 Windows 上的安装、配置与网络问题解决（镜像网络模式、代理配置） + 369| + 370|- [Blogwatcher Daily 技能收藏](sources/blogwatcher-daily-shou-cang.md) — RSS 订阅监控与每日摘要生成自动化 + 371| + 372|- [CTP Topic 14 Octane Hub on AWS Real life experience](sources/ctp-topic-14-octane-hub-on-aws-real-life-experience.md) — Octane Hub 将生产服务迁移到 AWS 的真实经验分享 + 373| + 374|- [CTP Topic 13 Cloud FinOps Micro Focus Policies best practices to optimize the costs](sources/ctp-topic-13-cloud-finops-micro-focus-policies-best-practices-to-optimize-the-co.md) — 云 FinOps 最佳实践，PCG 成本管理三层服务、标签合规、Reserved Instances 集中管理 + 375| + 376|- [CTP Topic 4 Using Agile to run the Cloud Transformation Program](sources/ctp-topic-4-using-agile-to-run-the-cloud-transformation-program.md) — 云转型计划中的敏捷实践应用，从 Scrum 过渡到 Kanban 的混合模式 + 377| + 378|- [CTP Topic 28 AWS Tag Validation Tool](sources/ctp-topic-28-aws-tag-validation-tool.md) — AWS 标签验证工具，用于审计资源标签合规性 + 379| + 380|- [CTP Topic 30 Managing Change](sources/ctp-topic-30-managing-change.md) — 云转型项目中的变更管理流程，SRE 角色和三种变更类型 + 381| + 382|- [CTP Topic 22 Global DNS service offerings](sources/ctp-topic-22-global-dns-service-offerings.md) — AWS 云 DNS 服务架构与混合云 DNS 设计方案 + 383| + 384|- [CTP Topic 23 Introduction to the Technical Architecture team and function](sources/ctp-topic-23-introduction-to-the-technical-architecture-team-and-function.md) — 技术架构团队职能、组织架构及云转型价值 + 385| + 386|- [CTP Topic 18 Wide Area Networking in AWS Cloud](sources/ctp-topic-18-wide-area-networking-in-aws-cloud.md) — AWS 云广域网架构设计，Transit Gateway、SD-WAN、Prisma Access SASE + 387| + 388|- [CTP Topic 19 Configuring DNS within AWS LZs](sources/ctp-topic-19-configuring-dns-within-aws-lzs.md) — AWS Landing Zone 多账号环境下 DNS 集中化管理 + 389| + 390|- [CTP Topic 20 Program demand process flow and PoC onboarding](sources/ctp-topic-20-program-demand-process-flow-and-poc-onboarding.md) — CTP 程序需求流程与 POC 入站流程，Gate 审批机制 + 391| + 392|- [CTP Topic 21 Supply Chain Security in Micro Focus](sources/ctp-topic-21-supply-chain-security-in-micro-focus.md) — Micro Focus 软件供应链安全的新方法，将供应链安全作为 SDL 第五大支柱 + 393| + 394|- [CTP Topic 24 Micro Focus Product Privacy Framework](sources/ctp-topic-24-micro-focus-product-privacy-framework.md) — Micro Focus 产品隐私框架，将 GDPR/CCPA 法律条款翻译为约 110 项技术要求 + 395| + 396|- [CTP Topic 66 Exposing the differences between PostgreSQL RDS and Aurora](sources/ctp-topic-66-exposing-the-differences-between-postgresql-rds-and-aurora.md) — PostgreSQL on RDS 与 Aurora 的详细对比（架构、性能、成本、故障切换） + 397| + 398|- [CTP Topic 72 Implementing an Enterprise DR Strategy using AWS Backup](sources/ctp-topic-72-implementing-an-enterprise-dr-strategy-using-aws-backup.md) — 使用 AWS Backup 实现企业级灾难恢复策略 + 399| + 400|- [CTP Topic 73 AWS Backup implementation of the Cloud Transformation Program](sources/ctp-topic-73-aws-backup-implementation-of-the-cloud-transformation-program.md) — AWS Backup 在 CTP 云转型计划中的实施 + 401| + 402|- [CTP Topic 65 Tracing the value delivered in Cloud Transformation](sources/ctp-topic-65-tracing-the-value-delivered-in-cloud-transformation.md) — CTP 工作中的价值交付量化与优先级排序方法 + 403| + 404|- [CTP Topic 68 Introduction to Redshift](sources/ctp-topic-68-introduction-to-redshift.md) — AWS Redshift 数据仓库架构与核心组件（MPP、列式存储、Leader Node、Compute Node） + 405| + 406|- [CTP Topic 69 Best Practices for Migrating On-Premises (IOD) Virtual Machines to VMware Cloud on AWS](sources/ctp-topic-69-best-practices-for-migrating-on-premises-iod-virtual-machines-to-vm.md) — 将本地虚拟机迁移到 VMware Cloud on AWS 的最佳实践（HCX、Direct Connect、CCOE） + 407| + 408|- [Learning Sessions ECS Deployment using IAC - 20230808](sources/learning-sessions-ecs-deployment-using-iac-20230808-183322-meeting-recording.md) — ECS 容器服务 IaC 部署，JP 和 Raja M 讲解 ECS 模块、Listener 集中管理、自动扩展和修复 + 409| + 410|- [CTP Topic 70 EKS Deployment using IAC](sources/ctp-topic-70-eks-deployment-using-iac.md) — 通过基础设施即代码（IaC）方式部署 EKS 集群，使用 Terraform 和 Service Catalog 两种方式 + 411| + 412|- [CTP Topic 64 Scaling out with Amazon EKS](sources/ctp-topic-64-scaling-out-with-amazon-eks.md) — Amazon EKS 水平扩展与垂直扩展机制，涵盖 HPA、KEDA、Karpenter、Cluster Autoscaler、IPv6 网络解决方案 + 413| + 414|- [CTP Topic 59 Achieving reliability with Amazon EKS](sources/ctp-topic-59-achieving-reliability-with-amazon-eks.md) — Amazon EKS 可靠性实践，涵盖容器服务选型、共享责任模型、应用/控制/数据平面三层可靠性设计 + 415| + 416|## Sources +- [Healthcare Marketing Compliance Specialist](sources/healthcare-marketing-compliance.md) — Chinese healthcare marketing compliance, from ads to privacy and platform rules + 417|- [CTP Topic 39 Implementing EKS in the AWS Lab Landing Zone](sources/ctp-topic-39-implementing-eks-in-the-aws-lab-landing-zone.md) — 在 AWS Lab Landing Zone 中实现 EKS 集群部署 + 418| + 419|- [CTP Topic 17 Active Directory Services in Gruntwork AWS LZs](sources/ctp-topic-17-active-directory-services-in-gruntwork-aws-lzs.md) — 在 Gruntwork AWS Landing Zones 中集成 Active Directory 服务实践 + 420| + 421|- [CTP Topic 25 Labs Landing Zone overview - ITOM teams](sources/ctp-topic-25-labs-landing-zone-overview-itom-teams.md) — Labs Landing Zone 架构概述，基于 Gruntwork reference architecture + 422| + 423|- [CTP Topic 51 Architecting with AWS Purpose-Built Databases](sources/ctp-topic-51-architecting-with-aws-purpose-built-databases.md) — AWS 专用数据库架构，选择合适的数据库服务 + 424| + 425|- [CTP Topic 52 3 Lines of Defence (3LoD) framework Cloud Security Posture Management (CSPM)](sources/ctp-topic-52-3-lines-of-defence-3lod-framework-cloud-security-posture-management.md) — 三道防线（3LoD）框架与云安全态势管理（CSPM），Cloud Guard 统一监控 + 426| + 427|- [CTP Topic 47 Enterprise Architecture Cloud Standards](sources/ctp-topic-47-enterprise-architecture-cloud-standards.md) — 企业云架构标准、Landing Zone 框架与 Cloud Guardrails + 428| + 429|- [CTP Topic 45 Automatic IP address allocation with IPAM](sources/ctp-topic-45-automatic-ip-address-allocation-with-ipam.md) — 使用 Infoblox NIOS 实现 VPC IP 地址自动化分配 + 430| + 431|- [CTP Topic 61 Workload VPC provision with IPAM Automation](sources/ctp-topic-61-workload-vpc-provision-with-ipam-automation.md) — IPAM 与 Workload VPC 自动化 provisioning，YAML 配置、审批流程 + 432| + 433|- [CTP Topic 43 VMware Cloud on AWS](sources/ctp-topic-43-vmware-cloud-on-aws.md) — VMware 和 AWS 联合云服务，在 AWS 硬件上原生运行 vSphere 8 + 434| + 435|- [CTP Topic 41 NFR's and Error Budgets](sources/ctp-topic-41-nfrs-and-error-budgets.md) — NFR（非功能需求）与 Error Budget（错误预算）在云和敏捷开发中的应用，SRE 实践 + 436| + 437|- [CTP Topic 53 Why bother with Cloud](sources/ctp-topic-53-why-bother-with-cloud.md) — Micro Focus 云转型计划进展与价值分析，成本优化与创新机会 + 438| + 439|- [CTP Topic 57 Product backlog managing demand](sources/ctp-topic-57-product-backlog-managing-demand.md) — Product Backlog 管理需求流程，SMACs 提交、Octane 入池、前置条件阶段 + 440| + 441|- [CTP Topic 60 Monitor AWS using Hyperscale Observability with Grafana](sources/ctp-topic-60-monitor-aws-using-hyperscale-observability-with-grafana.md) — AWS 云监控与 Grafana 可观测性平台集成，Dashboard-as-Code，Terraform 模块自动化 + 442| + 443|- [CTP Topic 12 Using SES SMTP service terraform module](sources/ctp-topic-12-using-ses-smtp-service-terraform-module.md) — 利用 AWS SES SMTP Terraform 模块实现云端邮件发送，VPC 终端节点配置 + 444| + 445|- [CTP Topic 62 AWS Secrets Manager](sources/ctp-topic-62-aws-secrets-manager.md) — AWS Secrets Manager 企业级敏感信息管理，分阶段实施方法（集中化→自动化获取→轮换），Lambda 数据库密码轮换 + 446| + 447|- [CTP Topic 54 ESM SaaS Log Analytics](sources/ctp-topic-54-esm-saas-log-analytics.md) — ESM SaaS Log Analytics（日志分析）架构与实践，ELK Stack/OpenSearch，BEATS 采集，VPC 私有传输，安全加密，成本对比 + 448| + 449|- [CTP Topic 55 AWS Firewall Manager](sources/ctp-topic-55-aws-firewall-manager.md) — AWS Firewall Manager 多账号安全策略集中管理，跨 Landing Zone 安全组统一配置与自动修复 + 450| + 451|- [CTP Topic 56 Automated Infrastructure Testing](sources/ctp-topic-56-automated-infrastructure-testing.md) — 自动化基础设施测试，TerraTest 框架和测试驱动开发在 IaC 中的应用 + 452| + 453|## Sources +- [Healthcare Marketing Compliance Specialist](sources/healthcare-marketing-compliance.md) — Chinese healthcare marketing compliance, from ads to privacy and platform rules + 454|- [CTP Topic 31 Network Segregation and Secure Access to AWS Landing Zones](sources/ctp-topic-31-network-segregation-secure-access-aws-landing-zones.md) — AWS Landing Zone 网络隔离与安全访问解决方案 + 455| + 456|- [CTP Topic 32 Using Atlantis CICD for Infrastructure Deployments](sources/ctp-topic-32-using-atlantis-cicd-for-infrastructure-deployments.md) — Atlantis 替代 Jenkins 进行基础设施自动化部署，开源自托管 Terraform CI/CD 工具 + 457| + 458|- [CTP Topic 33 An introduction to GitOps](sources/ctp-topic-33-an-introduction-to-gitops.md) — GitOps 方法论，四大原则（声明式配置、版本控制、CD 流程分离、增量基础设施），与 DevOps 的关系，Pull Model vs Push Model + 459| + 460|- [CTP Topic 15 Working with Renovatebot](sources/ctp-topic-15-working-with-renovatebot.md) — 利用 Renovate Bot 自动化管理云原生基础设施中的依赖项更新，支持 Terraform、Terragrunt、Docker 等技术栈 + 461| + 462|- [CTP Topic 40 SaaS Database Architecture On AWS Cloud](sources/ctp-topic-40-saas-database-architecture-on-aws-cloud.md) — AWS 云上 SaaS 数据库架构，SaaS 数据库团队全球运维实践 + 463| + 464|- [Learning Sessions Standard AMIs Updates 20231205](sources/learning-sessions-standard-amis-updates-20231205-160324-meeting-recording-2.md) — AWS Standard AMIs 概述、更新和发布流程（每两个月发布、支持 23 种操作系统） + 465| + 466|- [Public Cloud Learning Sessions (OpenText) - GitHub Enterprise to GitLab migration](sources/public-cloud-learning-sessions-opentext-github-enterprise-to-gitlab-migration-20.md) — OpenText 将代码仓库从 GitHub Enterprise 迁移到 GitLab，self-serve 模式 + 467| + 468|- [Public Cloud Learning Sessions (OpenText) - Thor Platform & Flows](sources/public-cloud-learning-sessions-opentext-thor-platform-flows-20241210-160056-meet.md) — Project Thor 平台架构与供应链数据流介绍 + 469| + 470|- [Public Cloud Learning Sessions (OpenText) - Evolving from DR to Recovery Assurance](sources/public-cloud-learning-sessions-opentext-evolving-from-dr-to-recovery-assurance-2.md) — DR 向 Recovery Assurance 演进，SRE 和可观测性工程实践 + 471| + 472|- [Public Cloud Learning Sessions (OpenText) - Product Hub (PHT) Overview and Q&A](sources/public-cloud-learning-sessions-opentext-product-hub-pht-overview-and-qa-20240806.md) — Product Hub (PHT) 产品层级追踪器概述，包括产品请求流程、层级结构和外部系统集成 + 473| + 474|- [Public Cloud Learning Sessions - OpenText Tagging Standard V2](sources/public-cloud-learning-sessions-opentext-tagging-standard-v2-20250429-170111-meet.md) — OpenText 标签标准 V2，涵盖云资源、Kubernetes 对象和容器镜像的标签规范 + 475| + 476|- [Public Cloud Learning Sessions - Tagging Standards for all hyperscalers](sources/public-cloud-learning-sessions-tagging-standards-for-all-hyperscalers-20240123-1.md) — 2024 年 1 月 OpenText 标签标准 V1，建立跨 AWS、GCP、Azure 统一标签体系 + 477| + 478|- [Learning Sessions Identity Governance VSM Replacement](sources/learning-sessions-identity-governance-vsm-replacement-20231128-160326-meeting-re.md) — 身份治理（Identity Governance）以及用 IGA 替换 VSM（Virtual Service Manager）的计划 + 479| + 480|- [Public Cloud Learning Sessions - Applicable Business Analysis Techniques](sources/Public-Cloud-Learning-Sessions-Applicable-Business-Analysis-Techniques-20240109.md) — OpenText 业务分析技术学习会议，介绍 BOSCARD、相关方轮盘和需求收集方法 + 481| + 482|- [Public Cloud Learning Sessions - Storage Cost Optimization](sources/public-cloud-learning-sessions-storage-cost-optimization-20240305.md) — AWS 存储服务（EBS、EFS、FSx、S3）成本优化最佳实践，包括存储类型选择、生命周期策略和智能分层 + 483| + 484|- [Public Cloud Learning Sessions - AWS End User Compute Services](sources/public-cloud-learning-sessions-aws-end-user-compute-services-20240430.md) — AWS 终端用户计算（EUC）服务介绍，涵盖 Workspaces 和 AppStream 2.0 + 485| + 486|- [Public Cloud Learning Sessions - Budget Control - 20240319](sources/Public-Cloud-Learning-Sessions-Budget-Control.md) — AWS账户预算控制自动化，提供账户所有者详细的支出警报和成本分析报告，实现成本控制 + 487| + 488|- [CTP Topic 1 Gruntwork Landing Zone Architecture](sources/ctp-topic-1-gruntwork-landing-zone-architecture.md) — 基于 Gruntwork 的 AWS Landing Zone 架构设计 + 489| + 490|- [CTP Topic 2 Git](sources/ctp-topic-2-git.md) — Git 版本控制系统基础与 DevOps 实践 + 491| + 492|- [CTP Topic 3 Deploy and maintain infrastructure](sources/ctp-topic-3-deploy-and-maintain-infrastructure.md) — CTP 云转型计划基础设施部署与维护，Terraform、Terragrunt、模块和服务目录在 Landing Zone 架构下的使用 + 493| + 494|- [CTP Topic 10 AWS Landing Zone (LZ) Data Collection, Tagging Related Security](sources/ctp-topic-10-aws-landing-zone-lz-data-collection-tagging-related-security.md) — AWS Landing Zone 部署流程、数据收集策略、基于标签的安全控制机制 + 495| + 496|- [Public Cloud Learning Sessions (OpenText) - GIS Security Policies](sources/public-cloud-learning-sessions-opentext-gis-security-policies-20241015-160257-me.md) — OpenText 全球信息安全团队（GIS）的安全策略框架与组织结构 + 497| + 498|- [Public Cloud Learning Sessions (OpenText) - Serverless Computing](sources/Public-Cloud-Learning-Sessions-OpenText-Serverless-Computing-20240903.md) — AWS 无服务器计算（Lambda、Step Functions、API Gateway、SAM） + 499| + 500|- [Public Cloud Learning Sessions (OpenText) - Generative AI & Prompt Engineering](sources/public-cloud-learning-sessions-opentext-generative-ai-prompt-engineering-20241112.md) — AWS 生成式 AI 服务与提示词工程基础 + 501| + 502|- [Public Cloud Learning Sessions (OpenText) - AI Use Cases - 20241126](sources/public-cloud-learning-sessions-opentext-ai-use-cases-20241126.md) — AWS AI 专家分享企业级 AI 应用案例与实践 + 503| + 504|- [Public Cloud Learning Sessions (OpenText) - Event Driven Architecture - Part 1](sources/public-cloud-learning-sessions-opentext-event-driven-architecture-part-1-2024091.md) — 事件驱动架构（EDA）介绍，Amazon EventBridge、SQS、SNS + 505|- [Public Cloud Learning Sessions (OpenText) - Event Driven Architecture - Part 2](sources/public-cloud-learning-sessions-opentext-event-driven-architecture-part-2-2024091.md) — 事件驱动架构（EDA）最佳实践与团队独立性 + 506| + 507|- [CTP Topic 35 AWS Landing Zone Design Refresher (SaaS Labs)](sources/ctp-topic-35-aws-landing-zone-design-refresher-saas-labs.md) — AWS Landing Zone 设计更新，SaaS（生产）与 Labs（开发）环境区分 + 508| + 509|- [CTP Topic 8 Implementation of Cloud monitoring using Micro Focus Operations Bridge](sources/ctp-topic-8-implementation-of-cloud-monitoring-using-micro-focus-operations-bridge.md) — 使用 Micro Focus Operations Bridge Manager (OBM) 实现 AWS 云监控的实施方案 + 510| + 511|- [CTP Topic 29 Cloud Monitoring – SaaS LZ accounts](sources/ctp-topic-29-cloud-monitoring-saas-lz-accounts.md) — AWS 云监控解决方案 OpsBridge 在 SaaS Landing Zone 多账号环境中的应用 + 512| + 513|- [CTP Topic 7 SaaS Landing Zone Design](sources/ctp-topic-7-saas-landing-zone-design.md) — 生产环境 SaaS Landing Zone 高级设计，单一 Landing Zone 策略 + 514| + 515|- [CTP Topic 5 AWS Identity and Access Management (IAM)](sources/ctp-topic-5-aws-identity-and-access-management-iam.md) — AWS IAM 用户、组、角色和策略管理，联合访问与权限控制 + 516| + 517|- [CTP Topic 6 AWS Workspaces Demo](sources/ctp-topic-6-aws-workspaces-demo.md) — AWS Workspaces 远程桌面演示，预装 PF SSO、Terraform、TerraGrunt、Git、VS Code 等开发工具 + 518| + 519|- [CTP Topic 11 AD Integration and Login using AD accounts](sources/ctp-topic-11-ad-integration-and-login-using-ad-accounts.md) — Jenkins 与 AD 集成实现自动登录，以及 pre-commit 框架的 IaC 自动化安全检查 + 520| + 521|- [CTP Topic 9 CI CD with Gruntwork](sources/ctp-topic-9-ci-cd-with-gruntwork.md) — CI/CD 与 Gruntwork 集成 + 522| + 523|## Entities +- [Healthcare Marketing Compliance Specialist](entities/Healthcare-Marketing-Compliance-Specialist.md) — The Agency agent persona for healthcare compliance review +- [Cultural Intelligence Strategist](entities/Cultural-Intelligence-Strategist.md) — The Agency agent persona for inclusive, global-first product and prompt audits + 524|- [MUI](entities/MUI.md) — 审批决策者之一，负责超大规模云服务商支出的书面审批 + 525|- [Shannon](entities/Shannon.md) — 审批决策者之一，负责超大规模云服务商支出的书面审批 + 526|- [FinOps Team](entities/FinOps-Team.md) — 负责 Oli 工作流管理的团队，正在将工作流过渡到其管理之下 + 527|- [AWS Instance Scheduler](entities/AWS-Instance-Scheduler.md) — AWS 官方实例调度工具，通过定时启停 EC2 和 RDS 实例实现成本优化 + 528|- [FPNA Team](entities/FPNA-Team.md) — 负责预算可用性验证的团队 + 529|- [Atlantis](entities/Atlantis.md) — 开源自托管 Terraform CI/CD 工具，替代 Jenkins 进行基础设施自动化部署 + 530|- [IAM (AWS Identity and Access Management)](entities/IAM-AWS-Identity-and-Access-Management.md) — AWS 身份和访问管理服务，控制 AWS 资源的访问权限 + 531|- [CCOE](entities/CCOE.md) — Cloud Center of Excellence，推动云采纳和治理的核心组织单元 + 532|- [AWS Firewall Manager](entities/AWS-Firewall-Manager.md) — AWS 集中安全管理服务，跨账户配置防火墙规则和安全策略 + 533|- [CrowdStrike](entities/CrowdStrike.md) — 网络安全公司，2024年7月事件推动行业对DR的重视 + 534|- [Martin Rosler](entities/Martin-Rosler.md) — OpenText 技术专家，OpenText Tagging Standard V2 演讲者 + 535|- [Phenops](entities/Phenops.md) — OpenText 团队，2023 年发起标签标准化工作 + 536|- [Jackie](entities/Jackie.md) — ITOM ESM SAS architect，CTP Topic 54 演讲者 + 537|- [SolarWinds Hack](entities/SolarWinds-Hack.md) — 著名供应链攻击事件，黑客通过构建过程注入后门 + 538|- [Shlomi Ben-Hur](entities/Shlomi-Ben-Hur.md) — Micro Focus 产品安全专家，主讲供应链安全 + 539|- [Ashish](entities/Ashish.md) — Micro Focus 产品安全组安全专家，主讲容器生命周期加固 + 540|- [Coyote](entities/Coyote.md) — Head of Enterprise Application Security，三道防线框架与 CSPM 主讲人 + 541|- [Cloud Guard](entities/Cloud-Guard.md) — CSPM 云安全态势管理解决方案 + 542|- [OpenText](entities/OpenText.md) — 企业内容管理软件公司，主办 Public Cloud Learning Sessions + 543|- [OpsBridge](entities/OpsBridge.md) — OpenText 内部监控平台，接收 Grafana 告警并创建事件 + 544|- [Optic DR](entities/Optic-DR.md) — OpenText 内部监控数据源插件，将数据拉入 Grafana 仪表板 + 545|- [Arnold Dacan](entities/Arnold-Dacan.md) — OpenText 技术专家，Project Thor 演讲者 + 546|- [Kishore Garlopati](entities/Kishore-Garlopati.md) — Azure Landing Zone 技术分享主讲人 + 547|- [Pradeep](entities/Pradeep.md) — AWS Landing Zone 技术分享主讲人，Checkpoint 防火墙专家 + 548|- [Holger Rode](entities/Holger-Rode.md) — Octane Hub CTO 软件工厂团队负责人 + 549|- [Heather Norris](entities/Heather-Norris.md) — 云转型计划（CTP）项目经理，敏捷实践演讲者 + 550|- [Femi George](entities/Femi-George.md) — AWS 数据库销售专家，CTP Topic 51 主讲人 + 551|- [Duolingo](entities/Duolingo.md) — 案例公司，使用 DynamoDB + ElastiCache + Aurora + 552|- [Netflix](entities/Netflix.md) — 案例公司，使用 DynamoDB 存储 JSON 文档 + 553|- [Peloton](entities/Peloton.md) — 案例公司，使用 ElastiCache Redis 提供即时反馈 + 554|- [Mem0](entities/Mem0.md) — Camp 1 记忆后端领导者，53.1k stars + 555|- [MemPalace](entities/MemPalace.md) — 本地优先逐字存储，46.2k stars + 556|- [Supermemory](entities/Supermemory.md) — 时间感知记忆，21.8k stars + 557|- [Zep](entities/Zep.md) — 重新定位为"上下文工程"，4.4k stars + 558|- [Thoth](entities/Thoth.md) — 最复杂架构，145 stars，Dream Cycle + 559|- [清华大学](entities/清华大学.md) — 中国顶尖大学，发布 DeepSeek 官方教程 + 560|- [余梦珑](entities/余梦珑.md) — 清华大学博士后，《DeepSeek从入门到精通2025》手册作者 + 561|- [营销人张飞宇](entities/营销人张飞宇.md) — 微信公众号作者，专注于个人品牌、商业变现方法论 + 562|- [空格](entities/空格.md) — 微信公众号作者，专注于 AI 应用开发分享 + 563|- [Mac Mini](entities/Mac-Mini.md) — Apple Mac Mini M4 主控节点，内网 IP 192.168.3.189 + 564|- [RackNerd](entities/RackNerd.md) — VPS 服务提供商，提供公网 IP 192.227.222.142 + 565|- [RDS](entities/RDS.md) — Amazon 托管关系数据库服务，支持 MySQL、PostgreSQL、Oracle 等多种引擎 + 566|- [Synology NAS DS718](entities/Synology-NAS-DS718.md) — 群晖 2 盘位 NAS，内网 IP 192.168.3.17 + 567|- [HP](entities/HP.md) — 惠普公司，全球知名 IT 设备制造商 + 568|- [Homarr](entities/Homarr.md) — 开源仪表板应用，集成多种服务入口 + 569|- [HP ZBook](entities/HP-ZBook.md) — HP 工作站级笔记本产品线 + 570|- [Bandwagon](entities/Bandwagon.md) — VPS 服务提供商 + 571|- [VPS2](entities/VPS2.md) — 运行在 Bandwagon 上的虚拟专用服务器 + 572|- [v2rayN](entities/v2rayN.md) — Windows/Linux 代理客户端 + 573|- [v2rayNG](entities/v2rayNG.md) — Android 代理客户端 + 574|- [Apache](entities/Apache.md) — Apache 软件基金会，全球最大的开源软件基金会之一 + 575|- [Apache Superset](entities/Apache-Superset.md) — Apache 软件基金会旗下的开源 BI 平台 + 576|- [BMC](entities/BMC.md) — 企业软件和云解决方案提供商 + 577|- [NetApp](entities/NetApp.md) — 企业级存储解决方案提供商，Cloud Volume ONTAP (CVO) 产品 + 578|- [AWS](entities/AWS.md) — 全球最大公有云平台（EKS、RDS、S3、Lambda 等） + 579|- [AWS Redshift](entities/AWS-Redshift.md) — Amazon 提供的 PB 级云端数据仓库服务，支持 OLAP + 580|- [Leader Node](entities/Leader-Node.md) — Redshift 集群的领导节点，负责查询规划和结果返回 + 581|- [Compute Node](entities/Compute-Node.md) — Redshift 架构中的计算节点，执行实际查询 + 582|- [Aurora](entities/Aurora.md) — Amazon 自研云原生关系型数据库，6 个 EBS 卷跨 3 个 AZ + 583|- [Amazon DynamoDB](entities/Amazon-DynamoDB.md) — 键值和文档数据库，单数字毫秒延迟，支持每日数万亿请求 + 584|- [Amazon DocumentDB](entities/Amazon-DocumentDB.md) — MongoDB 兼容文档数据库 + 585|- [Amazon ElastiCache](entities/Amazon-ElastiCache.md) — 内存数据库（Redis、Memcached） + 586|- [Amazon Neptune](entities/Amazon-Neptune.md) — 图形数据库 + 587|- [Amazon Timestream](entities/Amazon-Timestream.md) — 时序数据库，专为 IoT 设计 + 588|- [Amazon Keyspaces](entities/Amazon-Keyspaces.md) — Apache Cassandra 托管服务 + 589|- [Gruntwork](entities/Gruntwork.md) — Gruntwork Landing Zones 框架提供商，定义 R&D 和 SAS 环境域名规范 + 590|- [Infoblox](entities/Infoblox.md) — 企业级 DNS/DHCP 和 IPAM 解决方案提供商 + 591|- [Active-Directory](entities/Active-Directory.md) — Microsoft 目录服务，提供 DNS 和身份验证 + 592|- [Jenkins](entities/Jenkins.md) — 开源自动化服务器，用于 CI/CD，Shared Account 托管主 Jenkins 服务器 + 593|- [swinford.net](entities/swinford-net.md) — R&D Labs 环境 Active Directory 域名 + 594|- [intsas.local](entities/intsas-local.md) — SAS 生产环境 Active Directory 域名 + 595|- [Route 53](entities/Route-53.md) — AWS DNS 服务，每个产品拥有独立托管区域 + 596|- [Active Directory](entities/Active-Directory.md) — Microsoft 目录服务，提供身份验证和资源访问控制 + 597|- [MIM](entities/MIM.md) — R&D 环境的安全组管理和权限申请自助服务解决方案 + 598|- [SMACKS Ticket](entities/SMACKS-Ticket.md) — 内部服务管理工单系统，用于生产环境账号申请和密码重置 + 599|- [GCP](entities/GCP.md) — Google Cloud Platform（GKE、GCS、Cloud SQL 等） + 600|- [Azure](entities/Azure.md) — Microsoft 公有云平台（AKS、Cosmos DB 等） + 601|- [Kubernetes](entities/Kubernetes.md) — CNCF 开发的开源容器编排平台 + 602|- [Terraform](entities/Terraform.md) — HashiCorp 开发的开源 IaC 工具 + 603|- [CloudFormation](entities/CloudFormation.md) — AWS 的 IaC 服务 + 604|- [Pulumi](entities/Pulumi.md) — 使用通用编程语言的基础设施即代码工具 + 605|- [StackSets](entities/StackSets.md) — CloudFormation 跨账号跨区域部署功能 + 606|- [EventBridge](entities/EventBridge.md) — AWS 无服务器事件总线服务 + 607|- [CloudWatch](entities/CloudWatch.md) — AWS 监控和可观测性服务 + 608|- [AWS Organizations](entities/AWS-Organizations.md) — AWS 账户管理服务 + 609|- [AWS RAM](entities/AWS-RAM.md) — AWS 资源共享管理器，用于跨账号共享资源 + 610|- [KMS](entities/KMS.md) — AWS 密钥管理服务 + 611|- [AIOps](entities/AIOps.md) — AI 运维平台，利用 AI/ML 技术实现运维自动化 + 612|- [AI SRE](entities/AI-SRE.md) — 使用 AI 自动化站点可靠性工程任务的工具 + 613|- [CMDB](entities/CMDB.md) — 配置管理数据库，存储和管理 IT 基础设施配置项 + 614|- [ISO 27001](entities/ISO-27001.md) — 信息安全管理系统国际标准 + 615|- [HIPAA](entities/HIPAA.md) — 美国健康保险便携性和责任法案 + 616|- [GDPR](entities/GDPR.md) — 欧盟通用数据保护条例 + 617|- [Open Alliance for Cloud Adoption (OACA)](entities/Open-Alliance-for-Cloud-Adoption-OACA.md) — 提出云成熟度模型定义的组织 + 618|- [Cloud Technology Design Forum](entities/Cloud-Technology-Design-Forum.md) — 微焦点内部云架构标准化组织 + 619|- [GitHub](entities/GitHub.md) — 全球最大代码托管平台 + 620|- [OWASP](entities/OWASP.md) — Web 安全标准和 Top Ten 漏洞列表 + 621|- [SonarQube](entities/SonarQube.md) — 开源代码质量和安全分析平台 + 622|- [rsync](entities/rsync.md) — Linux 增量同步工具 + 623|- [NFS](entities/NFS.md) — 网络文件系统协议 + 624|- [NAS](entities/NAS.md) — 网络附加存储 + 625|- [Clonezilla](entities/Clonezilla.md) — 开源磁盘镜像备份工具 + 626|- [Netgear](entities/Netgear.md) — 路由器和网络设备制造商 + 627|- [RAX50](entities/RAX50.md) — 网件 AX4200 WiFi 6 路由器型号 + 628|- [SendGrid](entities/SendGrid.md) — Twilio 旗下的企业级邮件服务，CTP 标准邮件方案 + 629| + 630|- [KoolCenter](entities/KoolCenter.md) — 梅林固件官方下载服务器 + 631|- [MerlinClash](entities/MerlinClash.md) — 基于 Clash 的梅林固件科学上网插件 + 632|- [Transmission](entities/Transmission.md) — 开源 BT 下载客户端 + 633|- [LinuxServer.io](entities/LinuxServer-io.md) — 开源 Docker 镜像维护社区 + 634|- [OpenSSH](entities/OpenSSH.md) — 开源 SSH 协议实现，提供安全远程登录 + 635|- [UFW](entities/UFW.md) — Ubuntu 默认防火墙管理工具 + 636|- [systemd](entities/systemd.md) — Linux 系统和服务管理器 + 637|- [Rufus](entities/Rufus.md) — 开源 USB 启动盘制作工具 + 638|- [n8n](entities/n8n.md) — 开源工作流自动化工具 + 639|- [n8n-mcp](entities/n8n-mcp.md) — 连接 n8n 与 AI 模型的桥接项目，提供 543 个 n8n 节点访问能力 + 640|- [PostgreSQL](entities/PostgreSQL.md) — 开源关系型数据库 + 641|- [FastAPI](entities/FastAPI.md) — 现代 Python Web 框架 + 642|- [MinIO](entities/MinIO.md) — S3 兼容对象存储 + 643|- [AdsPower](entities/AdsPower.md) — 指纹浏览器，用于多账号管理和环境隔离 + 644|- [Airtable](entities/Airtable.md) — 在线数据库工具，常用于 AI Agent 的数据存储和库存管理 + 645|- [AI Foundations](entities/AI-Foundations.md) — AI 学习社区，提供课程和协作资源 + 646|- [Anthropic](entities/Anthropic.md) — AI 公司，开发 Claude 和官方 Skills 仓库 + 647|- [Claude](entities/Claude.md) — Anthropic 公司开发的 AI 聊天助手 + 648|- [Canva](entities/Canva.md) — 在线设计工具，2025年推出 AI 问答功能，支持中文简报生成 + 649|- [Gamma](entities/Gamma.md) — AI 简报工具，专注于图文并茂的专业效果 + 650|- [MiniMax-M2.7](entities/MiniMax-M2.7.md) — 中国 MiniMax 公司开发的大语言模型，200K context window + 651|- [ElevenLabs](entities/ElevenLabs.md) — 国际顶流AI配音工具，支持30+语言和情感语音 + 652|- [海螺AI](entities/海螺AI.md) — MiniMax 出品的AI配音工具，30秒克隆声音，免费 + 653|- [F5-TTS](entities/F5-TTS.md) — 开源TTS项目，2秒音频克隆，支持本地部署 + 654|- [TTSMaker](entities/TTSMaker.md) — 免费AI配音，每周3万字转换，300+音色 + 655|- [剪映](entities/剪映.md) — 抖音官方视频剪辑工具，AI配音功能 + 656|- [魔音工坊](entities/魔音工坊.md) — 企业级AI配音平台，500+音色 + 657|- [AnyVoice](entities/AnyVoice.md) — 免费声音克隆工具，3秒克隆 + 658|- [超达物流](entities/超达物流.md) — 跨境电商物流服务商，提供 UIN 渠道和 TK 平台物流服务 + 659|- [抖音](entities/抖音.md) — 字节跳动旗下短视频平台 + 660|- [WildCard](entities/WildCard.md) — 虚拟信用卡，解决海外支付问题 + 661|- [PingMe](entities/PingMe.md) — 短信接码平台，提供美国区号码 + 662|- [Synology](entities/Synology.md) — 群晖科技，NAS 设备制造商 + 663|- [Jellyfin](entities/Jellyfin.md) — 开源媒体服务器软件 + 664|- [V2RayA](entities/V2RayA.md) — V2Ray 管理面板，专注于透明代理功能 + 665|- [V2Ray](entities/V2Ray.md) — 代理软件核心，支持多种协议 + 666|- [阿里云盘](entities/阿里云盘.md) — 阿里巴巴云存储服务 + 667|- [Plex](entities/Plex.md) — 媒体服务器软件，支持视频刮削和多设备播放 + 668|- [Prismer](entities/Prismer.md) — Docker 容器化 LaTeX 编译环境，提供完整 TeX Live 服务 + 669|- [OpenClaw](entities/OpenClaw.md) — AI Agent 管理工具 + 670|- [Open Notebook](entities/Open-Notebook.md) — GitHub Star 最高的 NotebookLM 开源平替（14.6k） + 671|- [SurfSense](entities/SurfSense.md) — 开源 AI 搜索与研究智能体（11.4k Star） + 672|- [Podcastfy](entities/Podcastfy.md) — 专注于播客生成的 AI 工具 + 673|- [PageLM](entities/PageLM.md) — 将学习材料转化为互动式资源的教育平台 + 674|- [AionUi](entities/AionUi.md) — 桌面端 AI Agent 协同工作应用，内置 OpenClaw 部署专家 + 675|- [NodeWarden](entities/NodeWarden.md) — 运行于 Cloudflare Workers 的 Bitwarden 兼容服务器 + 676|- [NotebookLM](entities/NotebookLM.md) — Google 的 AI 笔记和研究助手，核心特色是 source-grounding + 677|- [BrightData](entities/BrightData.md) — 网页数据采集服务提供商 + 678|- [Decopy](entities/Decopy.md) — AI 摘要生成工具 + 679|- [WaveSpeed](entities/WaveSpeed.md) — AI 图像和视频处理平台 + 680|- [XAR GPT](entities/XAR-GPT.md) — 大脑类 AI 工具，负责分镜拆解 + 681|- [GEMALA](entities/GEMALA.md) — 大脑类 AI 工具，负责视频逻辑分析 + 682|- [KAI](entities/KAI.md) — 动效类 AI 工具，支持首尾针动画生成 + 683| + 684|- [Bitwarden](entities/Bitwarden.md) — 开源密码管理解决方案 + 685| + 686|- [baoyu](entities/baoyu.md) — Claude Code 技能集 baoyu-skills 的作者 + 687| + 688|- [ClawHub](entities/ClawHub.md) — Claude Code/OpenClaw 技能发布和管理平台 + 689| + 690|- [Cloudflare](entities/Cloudflare.md) — CDN、DNS 和无服务器云服务提供商 + 691|- [Appinn](entities/Appinn.md) — 小众软件分享网站 + 692|- [AITmpl](entities/AITmpl.md) — Claude Code 模板资源网站，提供 Skills/Agents/MCP 模板 + 693|- [Alex Finn](entities/Alex-Finn.md) — YouTube 创作者，关于 OpenClaw 用例视频的作者 + 694|- [Nicholas Carlini](entities/Nicholas-Carlini.md) — Google 研究科学家，自主编码 Agent 方案的提出者 + 695|- [苏东坡](entities/苏东坡.md) — 北宋文学家，第一个被思维蒸馏的历史人物，一生三起三落 + 696|- [王维](entities/王维.md) — 唐代诗人、画家，被誉为"诗佛"，代表作"行到水穷处，坐看云起时" + 697|- [老子](entities/老子.md) — 春秋时期思想家，道家学派创始人，《道德经》作者 + 698|- [庄子](entities/庄子.md) — 战国时期道家代表人物，《庄子》（《南华经》）作者 + 699|- [佛陀](entities/佛陀.md) — 佛教创始人，古代印度王子，宣讲《金刚经》等经典 + 700|- [曾国藩](entities/曾国藩.md) — 清代重臣、政治家，《治心经·诚心篇》作者 + 701|- [女娲·Skill](entities/女娲-Skill.md) — 开源项目，实现人物思维蒸馏的技术框架 + 702|- [RustDesk](entities/RustDesk.md) — 开源远程桌面软件，支持多平台远程控制 + 703|- [GDM3](entities/GDM3.md) — GNOME Display Manager，Ubuntu 的登录管理器 + 704|- [OpenCode](entities/OpenCode.md) — 开源 AI 编程助手，支持终端、桌面、IDE 三种使用形态 + 705|- [Vibe-Kanban](entities/Vibe-Kanban.md) — AI Agent 管理工具，支持 Vibe Coding 工作流 + 706|- [国家中小学智慧教育平台](entities/国家中小学智慧教育平台.md) — 中国教育部官方教育资源平台 + 707|- [Obsidian](entities/Obsidian.md) — 基于 Markdown 的本地优先笔记软件 + 708|- [印象笔记](entities/印象笔记.md) — 作者之前使用的笔记工具，存在"存而不读"问题 + 709|- [Tasks 插件](entities/Tasks-插件.md) — Obsidian 任务管理插件 + 710|- [Todoist](entities/Todoist.md) — 流行任务管理应用 + 711|- [Telegram](entities/Telegram.md) — 即时通讯应用，提供 Bot API 用于消息推送和交互 + 712|- [Google Sheets](entities/Google-Sheets.md) — Google 在线电子表格，用于数据可视化仪表盘 + 713|- [Anki](entities/Anki.md) — 开源间隔重复闪卡程序 + 714|- [Templater](entities/Templater.md) — Obsidian 动态模板插件 + 715|- [Dataview](entities/Dataview.md) — Obsidian SQL 查询插件 + 716|- [Spaced Repetition](entities/Spaced-Repetition.md) — Obsidian 间隔重复学习插件 + 717|- [Kanban](entities/Kanban.md) — Obsidian 看板视图插件 + 718|- [Projects](entities/Projects.md) — Obsidian 项目管理插件 + 719|- [Outliner](entities/Outliner.md) — Obsidian 大纲视图插件 + 720|- [Calendar](entities/Calendar.md) — Obsidian 日历视图插件 + 721|- [DB Folder](entities/DB-Folder.md) — Obsidian 数据库文件夹插件 + 722|- [Homepage](entities/Homepage.md) — Obsidian 主页插件 + 723|- [File Explorer Note Count](entities/File-Explorer-Note-Count.md) — Obsidian 文件管理器笔记计数插件 + 724|- [Reddit](entities/Reddit.md) — 社交新闻聚合网站，提供子版块热门帖子获取能力 + 725| + 726|- [Webz.io](entities/Webz-io.md) — 综合性新闻 API，覆盖开放网、深网和暗网 + 727|- [GNews API](entities/GNews-API.md) — 轻量级全球新闻 API，适合小型应用 + 728|- [The Guardian API](entities/The-Guardian-API.md) — 英国卫报官方 API，提供高质量编辑内容 + 729|- [Bloomberg API](entities/Bloomberg-API.md) — 彭博金融数据服务，专注实时市场信息 + 730|- [Financial Times API](entities/Financial-Times-API.md) — 金融时报官方 API，提供高端商业和经济洞察 + 731|- [Opoint](entities/Opoint.md) — 媒体监控与情绪分析平台 + 732|- [Mediastack API](entities/Mediastack-API.md) — 可扩展新闻数据服务，提供免费计划 + 733| + 734|- [ChatGPT](entities/ChatGPT.md) — OpenAI 开发的大型语言模型，底座大模型代表 + 735|- [OpenAI](entities/OpenAI.md) — 美国 AI 研究实验室，开发 ChatGPT、GPT 系列模型 + 736|- [DeepSeek](entities/DeepSeek.md) — 中国开发的大语言模型，以开源和高效著称 + 737|- [Qwen](entities/Qwen.md) — 阿里云开发的大型语言模型（通义千问） + 738|- [Midjourney](entities/Midjourney.md) — 专用于图像生成的 AI 模型 + 739|- [Stable Diffusion](entities/Stable-Diffusion.md) — 开源的图像生成模型 + 740|- [Ollama](entities/Ollama.md) — 开源本地大语言模型运行框架 + 741|- [Open-WebUI](entities/Open-WebUI.md) — 开源大语言模型 Web UI 界面 + 742| + 743|- [Coze（扣子）](entities/Coze（扣子）.md) — 字节跳动旗下 AI Agent 开发平台，支持 Bot 和 Workflow 两种模式 + 744|- [知乎](entities/知乎.md) — 中国知名问答社区，在培训中作为 Demo 案例 + 745|- [SONY（索尼）](entities/SONY（索尼）.md) — 日本电子产品制造商，培训 Demo 案例 + 746| + 747|- [TikTok Shop](concepts/TikTok-Shop.md) — 字节跳动旗下的短视频电商平台 + 748|- [面单授权](concepts/面单授权.md) — 跨境电商物流面单打印的授权配置 + 749|- [面单收费](concepts/面单收费.md) — 物流面单的费用计算规则 + 750|- [预上网](concepts/预上网.md) — 物流轨迹预生成的机制，24-48 小时左右生成 + 751| + 752|- [BRAT 插件](entities/BRAT-插件.md) — Obsidian 第三方插件自动更新工具，用于安装 Beta 版插件 + 753|- [kepano](entities/kepano.md) — Obsidian CEO，defuddle、obsidian-cli 等 Skills 作者 + 754|- [Axton](entities/Axton.md) — 回到Axton 博主，obsidian-canvas-creator 等视觉类 Skills 作者 + 755|- [Choi Wontak](entities/Choi-Wontak.md) — tutor-skills 作者 + 756| + 757|- [VMware-Cloud-on-AWS](entities/VMware-Cloud-on-AWS.md) — VMware 和 AWS 联合云服务，在 AWS 硬件上原生运行 vSphere 8 + 758| + 759|## Entities +- [Healthcare Marketing Compliance Specialist](entities/Healthcare-Marketing-Compliance-Specialist.md) — The Agency agent persona for healthcare compliance review + 760|- [Tom Bice](entities/Tom-Bice.md) — OpenText 财务组织负责人，标签标准制定发起人 + 761|- [Martin Nash](entities/Martin-Nash.md) — OpenText 技术架构经理，CTP Topic 23 主讲人 + 762|- [Matthew Chapman](entities/Matthew-Chapman.md) — OpenText CTP 需求评审会议主持人 + 763|- [AWS-Workspaces](entities/AWS-Workspaces.md) — AWS 托管虚拟桌面服务，提供完全持久化桌面 + 764|- [AppStream-2.0](entities/AppStream-2.0.md) — AWS 应用流服务，提供非持久化桌面和应用流传输 + 765|- [Christian-ODonough](entities/Christian-ODonough.md) — AWS 专家，AWS EUC 服务演讲者 + 766|- [UX Researcher](entities/UX-Researcher.md) — The Agency 项目中的用户体验研究智能体，专注于用户行为分析 + 767|- [Outbound Strategist](entities/Outbound-Strategist.md) — The Agency 项目中的基于信号触发的外呼销售策略智能体，通过购买信号识别和 ICP 定义提升外呼转化率 + 768|- [Identity Graph Operator](entities/Identity-Graph-Operator.md) — The Agency 体系中的共享身份图操作智能体，负责实体归一化、合并与冲突治理 + 769|- [Document Generator](entities/Document-Generator.md) — The Agency 项目中的程序化文档创建智能体，专注于 PDF、PPTX、XLSX 与 DOCX 生成 + 770|- [Workflow Architect](entities/Workflow-Architect.md) — The Agency 项目中的工作流设计专家智能体，负责流程树、失败分支与交接契约 + 771|- [Agentic Identity & Trust Architect](entities/Agentic-Identity-Trust-Architect.md) — The Agency 体系中的自治智能体身份与信任架构专家，负责代理身份验证、委托授权与可审计证据链 + 772|- [Experiment Tracker](entities/Experiment-Tracker.md) — 实验设计与执行跟踪智能体，专注于 A/B 测试、假设验证和数据驱动决策 + 773|- [Project Shepherd](entities/Project-Shepherd.md) — 专业项目管理人员智能体，专注于跨职能项目协调、时间线管理和利益相关方对齐 + 774|- [Recruitment Specialist](entities/Recruitment-Specialist.md) — The Agency 体系中的招聘运营与人才获取专家，负责全流程招聘与劳动法合规 + 775| + 776|## Concepts +- [Healthcare Marketing Compliance](concepts/HealthcareMarketingCompliance.md) — Umbrella concept for lawful healthcare promotion and content governance +- [Cultural Intelligence](concepts/Cultural-Intelligence.md) — Designing products, prompts, and workflows for cross-cultural effectiveness +- [Invisible Exclusion](concepts/Invisible-Exclusion.md) — Hidden friction caused by narrow assumptions and rigid defaults +- [Global-First Architecture](concepts/Global-First-Architecture.md) — Treating localization and internationalization as core architecture requirements +- [Contextual Semiotics](concepts/Contextual-Semiotics.md) — Interpreting colors, icons, and metaphors within a specific culture +- [Cultural Humility](concepts/Cultural-Humility.md) — Researching the audience before claiming confidence about their needs +- [Medical Advertising Compliance](concepts/MedicalAdvertisingCompliance.md) — Review-and-approval rules for medical ads, claims, and publication scope +- [Health Supplement Marketing](concepts/HealthSupplementMarketing.md) — Promotion rules for health supplements and approved function claims +- [Internet Healthcare Compliance](concepts/InternetHealthcareCompliance.md) — Rules for online diagnosis, consultation, prescriptions, and platform operations +- [Medical Aesthetics Compliance](concepts/MedicalAestheticsCompliance.md) — High-risk advertising rules for yimei marketing and appearance anxiety +- [Patient Privacy Protection](concepts/PatientPrivacyProtection.md) — Consent, de-identification, and sensitive health data governance +- [Academic Detailing Compliance](concepts/AcademicDetailingCompliance.md) — Compliant medical education, sponsorship, and rep conduct + 777|- [Process Optimization](concepts/Process-Optimization.md) — 通过识别瓶颈和重设工作流提升效率、质量与可靠性 + 778|- [Resource Allocation](concepts/Resource-Allocation.md) — 在人员、工具、时间和预算之间协调分配资源 + 779|- [Operational Excellence](concepts/Operational-Excellence.md) — 通过标准化、监控和持续改进实现可靠且可扩展的运营 + 780|- [Cross-Functional Leadership](concepts/Cross-Functional-Leadership.md) — 跨团队与跨职能协作以达成共享目标 + 781|- [A/B Testing](concepts/A-B-Testing.md) — 控制实验，比较对照组与处理组以衡量因果影响 + 782|- [Hypothesis Testing](concepts/Hypothesis-Testing.md) — 统计检验框架，用于判断观察结果是否足以拒绝零假设 + 783|- [Statistical Significance](concepts/Statistical-Significance.md) — 结果不太可能由随机性产生的统计判定 + 784|- [Power Analysis](concepts/Power-Analysis.md) — 估算达到目标检验功效所需样本量的方法 + 785|- [Randomization](concepts/Randomization.md) — 通过随机分配降低偏差并支持因果推断 + 786|- [AWS Config](entities/AWS-Config.md) — AWS 配置审计与合规性服务，记录资源配置变化，支持自动检测和修复 + 787|- [IAM 用户](concepts/IAM-用户.md) — IAM 持久化身份，主要用于服务账号 + 788|- [IAM 角色](concepts/IAM-角色.md) — IAM 临时身份，将主体与权限关联 + 789|- [IAM 策略](concepts/IAM-策略.md) — 定义 AWS 权限的 JSON 文档 + 790|- [联合访问](concepts/联合访问.md) — 通过 AD 组映射 IAM 角色的用户访问方式 + 791|- [最小权限原则](concepts/最小权限原则.md) — 安全最佳实践，只授予所需最小权限 + 792|- [账户架构](concepts/账户架构.md) — PPC 广告活动的组织结构设计，涵盖活动结构、广告组分类、标签系统、命名规范 + 793|- [自动化出价策略](concepts/自动化出价策略.md) — PPC 广告平台的智能出价优化机制，涵盖 tCPA、tROAS、Max Conversions 等策略 + 794|- [绩效最大化](concepts/绩效最大化-Performance-Max.md) — Google Ads 自动化全渠道投放类型，通过机器学习优化跨渠道广告投放 + 795|- [BOSCARD](concepts/BOSCARD.md) — 定义复杂新工作的技术，包含背景、目标、范围、约束、假设、风险、角色、可交付成果 + 796|- [VDI](concepts/VDI.md) — Virtual Desktop Infrastructure，虚拟桌面基础设施，通过远程桌面协议提供虚拟计算环境 + 797|- [WSP-Protocol](concepts/WSP-Protocol.md) — Workspaces 流协议，专为高延迟网络设计 + 798|- [SAML](concepts/SAML.md) — 安全断言标记语言，用于单点登录和多因素认证 + 799|- [BYOD](concepts/BYOD.md) — Bring Your Own Device，自带设备，允许员工使用个人设备访问企业资源 + 800| + 801|- [User Research](concepts/User-Research.md) — 用户研究，通过定性定量方法理解用户行为 + 802|- [Usability Testing](concepts/Usability-Testing.md) — 可用性测试，评估产品易用性 + 803|- [User Persona](concepts/User-Persona.md) — 用户画像，基于实证数据创建的理想用户原型 + 804|- [User Journey Mapping](concepts/User-Journey-Mapping.md) — 用户旅程映射，可视化用户与产品交互全过程 + 805|- [Recruitment Operations](concepts/Recruitment-Operations.md) — 招聘渠道投放、漏斗优化与 ROI 评估的运营方法 + 806|- [Identity Governance](concepts/Identity-Governance.md) — 多智能体环境下的实体身份解析、合并与审计治理框架 + 807|- [Digital Government](concepts/Digital-Government.md) — 政务服务、数据治理和内部协同的数字化重构模式 + 808|- [Smart City](concepts/Smart-City.md) — 城市运行、公共服务与治理的数字化、平台化和智能化模式 + 809|- [Government Procurement](concepts/Government-Procurement.md) — 政府机构围绕预算、招标、评标和合同签署的标准化采购流程 + 810|- [Dengbao](concepts/Dengbao.md) — 网络安全等级保护制度及其建设、测评与整改要求 + 811|- [Miping](concepts/Miping.md) — 商用密码应用安全性评估要求 + 812|- [Xinchuang](concepts/Xinchuang.md) — 国产 CPU、OS、数据库与中间件适配与替代工作 + 813|- [Talent Assessment](concepts/Talent-Assessment.md) — 通过结构化与行为面试评估候选人胜任力的过程 + 814|- [Smart City](concepts/Smart-City.md) — 城市运行、公共服务与治理的数字化、平台化和智能化模式 + 815|- [Government Procurement](concepts/Government-Procurement.md) — 政府机构围绕预算、招标、评标和合同签署的标准化采购流程 + 816|- [Dengbao](concepts/Dengbao.md) — 网络安全等级保护制度及其建设、测评与整改要求 + 817|- [Miping](concepts/Miping.md) — 商用密码应用安全性评估要求 + 818|- [Xinchuang](concepts/Xinchuang.md) — 国产 CPU、OS、数据库与中间件适配与替代工作 + 819|- [Talent Assessment](concepts/Talent-Assessment.md) — 通过结构化与行为面试评估候选人胜任力的过程 + 820|- [Labor Law Compliance](concepts/Labor-Law-Compliance.md) — 招聘、合同、背景调查与用工全过程合规要求 + 821|- [Idempotent Operation](concepts/Idempotent-Operation.md) — 可重复执行而不会产生额外副作用的幂等操作 + 822|- [Audit Trail](concepts/Audit-Trail.md) — 记录关键操作、决策与结果的可追溯日志 + 823|- [Payment Rail](concepts/Payment-Rail.md) — 支付从发送方到接收方所经过的结算通道或网络 + 824|- [Spend Limit](concepts/Spend-Limit.md) — 允许在无需额外批准的情况下执行的最大支出额度 + 825|- [Candidate Experience](concepts/Candidate-Experience.md) — 候选人从投递、筛选到入职全过程的体验质量 + 826|- [Employer Brand](concepts/Employer-Brand.md) — 候选人与员工对企业工作环境与声誉的整体认知 + 827|- [ATS](concepts/ATS.md) — Applicant Tracking System，用于管理招聘流程、候选人与状态 + 828|- [Onboarding](concepts/Onboarding.md) — 从 offer 接受到试用期管理的新员工融入流程 + 829| + 830|- [Product](concepts/Product.md) — 具有独立 CI/CD 流水线或发布周期的软件分发 + 831|- [Product-Backlog](concepts/Product-Backlog.md) — 产品待办列表，存放待开发功能和需求，高亮收益和优先级 + 832|- [SMACs](concepts/SMACs.md) — 需求提交的标准化入口，用于启动计时器和确保需求追踪 + 833|- [Cyber Suite](concepts/Cyber-Suite.md) — PSAC 发布的产品安全加密标准，包括标准/可选套件和审查要求 + 834|- [Observability Engineering](concepts/Observability-Engineering.md) — 可观测性工程，通过指标、日志、追踪持续理解系统健康状态 + 835|- [Security Group Policy](concepts/Security-Group-Policy.md) — Firewall Manager 安全组策略类型，包含通用安全组、审计强制、清理未使用三种 + 836|- [Log Analytics](concepts/Log-Analytics.md) — 日志分析，日志数据的采集、存储、搜索和可视化 + 837|- [ELK Stack](concepts/ELK-Stack.md) — Elasticsearch + Logstash + Kibana 开源日志分析技术栈 + 838|- [OpenSearch](concepts/OpenSearch.md) — AWS 的 ELK 开源分支，托管日志分析服务 + 839|- [Global Standards Coverage](concepts/Global-Standards-Coverage.md) — 跨多国工程规范进行统一设计与审查的能力 + 840|- [Logstash](concepts/Logstash.md) — ELK Stack 中的日志处理管道 + 841|- [Kibana](concepts/Kibana.md) — ELK Stack 的 Web 前端和可视化界面 + 842|- [Recovery Assurance](concepts/Recovery-Assurance.md) — 恢复保障，从设计层面确保系统具备恢复能力 + 843|- [Service Control Policies](concepts/Service-Control-Policies.md) — AWS Organizations 的策略类型，管理组织内账户的最大权限边界 + 844|- [Management Groups](concepts/Management-Groups.md) — Azure 组织管理结构，用于组织和管理多个订阅的分层容器 + 845|- [Subscription](concepts/Subscription.md) — Azure 资源隔离的基本容器，每个订阅有独立的配额和访问控制 + 846|- [PIM（Privileged Identity Management）](concepts/PIM-Privileged-Identity-Management.md) — Azure 特权身份管理，控制提升权限的访问 + 847| + 848|- [Demand Management](concepts/Demand-Management.md) — 平衡用户请求与可用容量的业务流程，确保组织有效管理和分配资源 + 849|- [ITIL Framework](concepts/ITIL-Framework.md) — IT 服务管理框架，将业务流程分为服务战略、设计、转换、运营和改进五个阶段 + 850| + 851|- [Tagging Methodology](concepts/Tagging-Methodology.md) — 标签方法论，通过为资源定义标准化的元数据（如 Owner, BU, Product, Environment），作为自动化管理和安全策略执行的基础 + 852| + 853|- [Checkpoint Firewall](concepts/Checkpoint-Firewall.md) — 部署在云环境中的虚拟防火墙，通过集成 AWS 标签实现动态的对象识别和流量过滤 + 854|- [WAF (Web Application Firewall)](concepts/WAF.md) — Web 应用防火墙，保护 Web 应用免受常见攻击 + 855|- [CloudFront](concepts/CloudFront.md) — AWS 内容分发网络（CDN），加速静态内容分发 + 856| + 857|- [Ordered Layer](concepts/Ordered-Layer.md) — 有序层，防火墙策略的一种组织方式，按顺序执行地理屏蔽、BU 隔离、环境隔离等逻辑 + 858| + 859|- [Boto3](concepts/Boto3.md) — AWS SDK for Python，允许通过 Python 代码调用 AWS API + 860| + 861|- [Gruntwork Landing Zone](concepts/Gruntwork-Landing-Zone.md) — Gruntwork 提供的预配置 AWS 基础架构框架，分为 R&D Labs（swinford.net）和 SAS（intsas.local）环境 + 862|- [Enterprise Architecture](concepts/Enterprise-Architecture.md) — 企业架构，帮助阐明云架构并传达可用资源 + 863|- [Cloud Guardrails](concepts/Cloud-Guardrails.md) — 云守护栏，捕获可扩展性、成本最小化和灵活性的强制性要求 + 864|- [Route 53 Private Hosted Zone](concepts/Route-53-Private-Hosted-Zone.md) — AWS 私有托管区域，仅对指定 VPC 可见 + 865|- [Route 53 Resolver Endpoint](concepts/Route-53-Resolver-Endpoint.md) — Route 53 入站/出站终端节点 + 866|- [DNS Anycast](concepts/DNS-Anycast.md) — DNS 寻址和路由方法，共享 IP 地址实现低延迟和高可用 + 867|- [IPAM](concepts/IPAM.md) — IP 地址管理工具，用于规划、追踪和管理 IP 地址空间 + 868|- [Hybrid DNS Resolution](concepts/Hybrid-DNS-Resolution.md) — 混合云 DNS 解析机制 + 869|- [Domain Join](concepts/Domain-Join.md) — 通过 SRE-provided AMIs 实现自动化将 Windows/Linux 实例加入 AD 域的技术 + 870|- [Cloud Volume ONTAP](concepts/Cloud-Volume-ONTAP.md) — NetApp 云端存储解决方案，运行在 AWS EC2 实例上，支持数据分层到 S3 + 871|- [SRE-provided AMIs](concepts/SRE-provided-AMIs.md) — SRE 团队预构建的机器镜像，内置自动域加入脚本 + 872|- [语义形状系统](concepts/语义形状系统.md) — fireworks-tech-graph 将语义概念映射为固定 SVG 形状的词汇表 + 873|- [Purpose-Built Database](concepts/Purpose-Built-Database.md) — 专用数据库，根据用例选择最佳工具而非一刀切 + 874| + 875|- [MPP](concepts/MPP.md) — 大规模并行处理技术，使查询跨多个计算节点并行执行 + 876|- [OLAP](concepts/OLAP.md) — 在线分析处理，用于复杂查询和决策支持的数据库技术 + 877|- [列式存储](concepts/列式存储.md) — 按列存储数据的数据库存储方式，针对数据仓库操作优化 + 878| + 879|- [记忆后端](concepts/记忆后端.md) — Camp 1 类别的记忆工具，从对话中提取事实并存储到向量数据库 + 880|- [上下文基质](concepts/上下文基质.md) — Camp 2 类别的记忆架构，通过维护结构化文件实现上下文累积 + 881| + 882|- [主动问责](concepts/主动问责.md) — AI Agent 主动询问用户行为完成情况，通过直接提问促进行为改变 + 883|- [AI幻觉](concepts/AI幻觉.md) — AI 生成看似合理但实际错误的内容，需通过技巧避免 + 884|- [AI配音](concepts/AI配音.md) — 使用人工智能技术将文字转化为语音的技术 + 885|- [AI-摘要](concepts/AI-摘要.md) — AI 自动提取和总结文档、视频等内容的核心信息 + 886|- [声音克隆](concepts/声音克隆.md) — 通过少量音频样本训练AI模型，生成与原声相似的语音的技术 + 887|- [提示语设计](concepts/提示语设计.md) — 通过精心设计的提示词提升 AI 输出质量的技术 + 888|- [Claude Skills](concepts/Claude-Skills.md) — 写给 Claude 的"说明书"和 SOP，将反复执行的任务拆解为 AI 可稳定复用流程的技术范式 + 889|- [Document Generation](concepts/Document-Generation.md) — 通过代码、模板和数据驱动流程自动生成 PDF、PPTX、XLSX、DOCX 等专业文档的工作流 + 890|- [Workflow Architecture](concepts/Workflow-Architecture.md) — 将系统行为建模为工作流树的方法，覆盖分支、失败、清理和现实验证 + 891|- [Obsidian Skills](concepts/Obsidian-Skills.md) — 写给 AI Agent 的"说明书"，扩展 Obsidian 能力的技能集 + 892|- [Obsidian CLI](concepts/Obsidian-CLI.md) — Obsidian 官方命令行工具，支持笔记增删改查 + 893|- [obsidian-bases](concepts/obsidian-bases.md) — 生成 .base 格式数据库配置文件的技能 + 894|- [obsidian-canvas-creator](concepts/obsidian-canvas-creator.md) — 自动计算节点坐标的 Canvas 创建技能 + 895|- [tutor-skills](concepts/tutor-skills.md) — 将文档转化为结构化知识库并通过互动测验检测学习效果 + 896|- [scholar-skill](concepts/scholar-skill.md) — 基于 L1-L3 分级阅读策略的学术研究技能 + 897|- [Awesome Claude Skills](concepts/Awesome-Claude-Skills.md) — 系统整理各类标准化 LLM Skills 工作流的精选 GitHub 仓库 + 898|- [新闻 API 数据源](concepts/新闻-API-数据源.md) — 聚合、组织并交付结构化新闻数据的服务平台 + 899|- [实时新闻数据](concepts/实时新闻数据.md) — 即时获取当前发生的新闻事件的数据服务 + 900|- [情绪分析](concepts/情绪分析.md) — 分析新闻内容中的情感倾向，识别公众对事件的态度 + 901|- [自定义指令](concepts/自定义指令.md) — ChatGPT 用户设置的行为指导原则 + 902|- [个性化配置](concepts/个性化配置.md) — 用户根据自身需求定制 AI 交互方式的过程 + 903|- [systemd-logind](concepts/systemd-logind.md) — systemd 登录管理器，处理电源管理事件 + 904|- [TMUX 交互模式](concepts/TMUX-jiao-hu-mo-shi.md) — Claude Code 在 TMUX 会话中的交互模式，适合超长任务 + 905|- [HandleLidSwitch](concepts/HandleLidSwitch.md) — 合盖电源行为配置项 + 906|- [休眠 (Hibernate)](concepts/休眠-Hibernate.md) — 内存数据写入磁盘后完全断电 + 907|- [待机 (Suspend)](concepts/待机-Suspend.md) — 内存保持供电的低功耗睡眠状态 + 908|- [pmset](concepts/pmset.md) — macOS 电源管理命令行工具 + 909|- [Print Mode](concepts/Print-Mode.md) — Claude Code 非交互执行模式，通过 stdin 管道传递任务 + 910|- [caffeinate](concepts/caffeinate.md) — macOS 临时阻止系统睡眠的工具 + 911|- [WOL (Wake on LAN)](concepts/WOL-Wake-on-LAN.md) — 网络唤醒功能 + 912|- [Wayland](concepts/Wayland.md) — Linux 桌面环境的现代显示协议，Ubuntu 24.04 默认使用 + 913|- [X11 (Xorg)](concepts/X11-Xorg.md) — 传统 Linux 显示协议，支持远程桌面软件 + 914|- [GPT](concepts/GPT.md) — GUID 分区表，现代硬盘分区标准 + 915|- [UEFI](concepts/UEFI.md) — 统一可扩展固件接口 + 916|- [Secure Boot](concepts/Secure-Boot.md) — UEFI 安全启动特性 + 917|- [efibootmgr](concepts/efibootmgr.md) — Linux EFI 启动顺序管理工具 + 918|- [3X-UI](concepts/3X-UI.md) — Xray 可视化管理面板 + 919|- [Xray](concepts/Xray.md) — 多功能代理软件 + 920|- [VLESS](concepts/VLESS.md) — 轻量级代理协议 + 921|- [Reality](concepts/Reality.md) — 无 TLS 特征的 TLS 伪装协议 + 922|- [Agentic AI](concepts/Agentic-AI.md) — 具备自主决策和任务执行能力的 AI 系统 + 923|- [Coze Workflow](concepts/Coze-Workflow.md) — Coze 平台的工作流模式，支持复杂企业级业务逻辑编排 + 924|- [Bot](concepts/Bot.md) — Coze 平台的对话型 AI 智能体，最基础的智能体开发模式 + 925| + 926|- [固定机位](concepts/固定机位.md) — 摄像机位置固定不变，视频画面统一和连贯的基础 + 927|- [内容连续变化](concepts/内容连续变化.md) — 视频主体信息随时间持续发生明确阶段性变化 + 928|- [时间压缩](concepts/时间压缩.md) — 将长时间拍摄过程在视频中浓缩表现的手法 + 929|- [分镜拆解](concepts/分镜拆解.md) — 将视频内容拆分成多个画面阶段描述的过程 + 930|- [九宫格法](concepts/九宫格法.md) — 同时生成 3×3 共九个分镜画面，保证机位与角度不变 + 931|- [首尾针动画](concepts/首尾针动画.md) — 通过两个关键帧，AI 自动补齐中间动作生成连贯动画 + 932|- [快节奏剪辑](concepts/快节奏剪辑.md) — 视频使用 2-4 倍速加速和硬切手法 + 933|- [卡点](concepts/卡点.md) — 画面变化与音乐节奏巧妙同步 + 934|- [Self-Healing Systems](concepts/Self-Healing-Systems.md) — 主动检测异常并自动修复的系统 + 935|- [Last-30-Days-Skill](concepts/Last-30-Days-Skill.md) — Matt Van Horn 开发的 Reddit/X 研究技能，获取过去 30 天用户痛点 + 936|- [Market-Research](concepts/Market-Research.md) — 通过用户反馈和数据分析识别产品机会的过程 + 937|- [Policy-as-Code](concepts/Policy-as-Code.md) — 策略即代码，自动化安全策略执行和持续合规审计 + 938|- [Hyperautomation](concepts/Hyperautomation.md) — 超级自动化，AI/ML 驱动的端到端流程自动化 + 939|- [AI-driven RCA](concepts/AI-driven-RCA.md) — AI 驱动的根因分析 + 940|- [Predictive Maintenance](concepts/Predictive-Maintenance.md) — 通过历史数据预测并预防故障 + 941|- [Dynamic Configuration Management](concepts/Dynamic-Configuration-Management.md) — 运行时动态调整应用配置 + 942|- [Cost Optimization](concepts/Cost-Optimization.md) — 最大化云资源价值、减少开销 + 943|- [Compliance Enforcement](concepts/Compliance-Enforcement.md) — 自动化确保系统符合安全合规要求 + 944|- [AI ChatOps](concepts/AI-ChatOps.md) — 通过协作平台与 AI 交互进行故障排除 + 945|- [Multi-Tenant Management](concepts/Multi-Tenant-Management.md) — SaaS 多租户自动化管理 + 946|- [MVP](concepts/MVP.md) — 最小可行产品，用最少的资源验证核心产品假设 + 947|- [What-If Simulations](concepts/What-If-Simulations.md) — AI 辅助的决策支持模拟 + 948|- [AI-powered Runbooks](concepts/AI-powered-Runbooks.md) — AI 驱动的运维手册推荐 + 949|- [Cloud Security](concepts/Cloud-Security.md) — 保护云环境中的数据、应用程序和基础设施免受威胁的安全措施 + 950|- [Container Lifecycle Hardening](concepts/Container-Lifecycle-Hardening.md) — 容器全生命周期安全加固实践，构建阶段 11 项安全标准 + 951|- [Read Only Root Filesystem](concepts/Read-Only-Root-Filesystem.md) — 只读根文件系统安全配置 + 952|- [Container Image Scanning](concepts/Container-Image-Scanning.md) — 容器镜像漏洞扫描 + 953|- [Init System](concepts/Init-System.md) — 容器初始化进程，处理信号和僵尸进程 + 954|- [Kubernetes Service Account](concepts/Kubernetes-Service-Account.md) — Kubernetes Pod 身份认证机制 + 955|- [Three Lines of Defense](concepts/Three-Lines-of-Defense.md) — 三道防线风险管理框架，业务单元、集团办公室、审计三层职责划分 + 956|- [Cloud Security Posture Management](concepts/Cloud-Security-Posture-Management.md) — 云安全态势管理，持续监控云资源配置合规性 + 957|- [Zero Trust Architecture](concepts/Zero-Trust-Architecture.md) — 零信任架构，"永不信任、始终验证"的安全框架 + 958|- [Supply Chain Security](concepts/Supply-Chain-Security.md) — 软件供应链安全，保护从开发到交付的全流程 + 959|- [SDL (Security Development Lifecycle)](concepts/SDL-Security-Development-Lifecycle.md) — 软件安全开发生命周期，Micro Focus 13 个安全轨道的系统化方法 + 960|- [Cloud Computing](concepts/Cloud-Computing.md) — 通过互联网远程访问计算资源的云计算服务模式 + 961|- [Public Cloud](concepts/Public-Cloud.md) — 由第三方提供商通过互联网共享交付的云计算部署模式 + 962|- [Private Cloud](concepts/Private-Cloud.md) — 专属于单一组织的云计算部署模式 + 963|- [Hybrid Cloud](concepts/Hybrid-Cloud.md) — 组合使用公有云和私有云的部署模式 + 964|- [Shared Responsibility Model](concepts/Shared-Responsibility-Model.md) — 云服务商与客户共同承担安全责任的框架 + 965|- [Pay-as-you-go](concepts/Pay-as-you-go.md) — 基于实际使用量计费的商业模式 + 966|- [Data Governance](concepts/Data-Governance.md) — 云环境中数据安全性、完整性和合规性的管理框架 + 967|- [Cloud Migration](concepts/Cloud-Migration.md) — 将工作负载从本地迁移到云环境的过程 + 968|- [High Availability](concepts/High-Availability.md) — 通过冗余和故障转移确保系统持续可用的设计原则 + 969|- [Auto-scaling](concepts/Auto-scaling.md) — 根据负载自动调整计算资源的技术 + 970|- [Serverless Computing](concepts/Serverless-Computing.md) — 无需管理服务器即可运行代码的云计算模式 + 971|- [Cloud Service Delivery](concepts/Cloud-Service-Delivery.md) — 涵盖12个核心管理领域的云服务交付生命周期 + 972|- [FinOps](concepts/FinOps.md) — 云财务运营，整合财务管理与云资源优化 + 973|- [Instance Scheduling](concepts/Instance-Scheduling.md) — 实例定时调度，通过预设时间规则自动控制 EC2 和 RDS 实例启停，实现非生产环境成本优化 + 974|- [Right Sizing](concepts/Right-Sizing.md) — 识别正确资源规格匹配工作负载需求，通过 EC2 Right Sizing 推荐、实例调度、闲置资源清理实现成本节省 + 975| + 976|- [CTP Topic 27 AWS Instance Scheduler](sources/ctp-topic-27-aws-instance-scheduler.md) — AWS 实例调度工具，通过定时启停 EC2 和 RDS 实例实现非生产环境成本优化，已通过 Guardrails 自动覆盖 + 977|- [Workload Optimization](concepts/Workload-Optimization.md) — 通过现代化和 Right Sizing 优化资源配置，涵盖 Intel→AMD/Graviton 迁移、GP2→GP3 升级、EKS 版本升级 + 978|- [Rate Optimization](concepts/Rate-Optimization.md) — 基于承诺使用获取折扣，Savings Plans/Reserved Instances/Spot Instances，最低交易价值每年 5,000 美元 + 979|- [Cloud Operating Model](concepts/Cloud-Operating-Model.md) — 云运营模型，管理云资源、安全、成本和治理的框架 + 980|- [DevOps 文化](concepts/DevOps-文化.md) — 打破开发与运维壁垒，优先协作、持续学习和客户导向的文化理念 + 981|- [CI/CD 流水线](concepts/CI-CD-流水线.md) — 自动化测试、集成和部署的持续交付管道 + 982|- [Infrastructure as Code (IaC)](concepts/Infrastructure-as-Code-IaC.md) — 通过代码实现一致性、版本控制的基础设施管理 + 983|- [敏捷实践](concepts/敏捷实践.md) — Scrum、Kanban 等迭代开发方法论 + 984|- [DevSecOps](concepts/DevSecOps.md) — 在 CI/CD 流水线中深度集成安全工具的文化理念 + 985|- [HCX](concepts/HCX.md) — Hybrid Cloud Extender，VMware 混合云扩展工具 + 986|- [GitOps](concepts/GitOps.md) — 使用 Git 作为单一真相源来管理基础设施和部署 + 987|- [持续改进 (Kaizen)](concepts/持续改进.md) — 通过迭代学习不断优化流程的文化实践 + 988|- [混沌工程](concepts/混沌工程.md) — 主动测试系统韧性的实践方法 + 989|- [无责复盘 (Blameless Postmortem)](concepts/无责复盘.md) — 不追究个人责任，聚焦问题本质的失败分析方法 + 990|- [Cloud Maturity Model](concepts/Cloud-Maturity-Model.md) — 评估组织云采纳就绪程度的5级框架 + 991|- [Cloud Adoption](concepts/Cloud-Adoption.md) — 将工作负载和服务从本地迁移到云的过程 + 992|- [Cloud Native](concepts/Cloud-Native.md) — 利用云平台原生特性构建和运行应用的方法 + 993|- [Hybrid Cloud](concepts/Hybrid-Cloud.md) — 组合使用公有云和私有云的部署模式 + 994|- [Multi-Account Strategy](concepts/Multi-Account-Strategy.md) — AWS 多账号架构策略，通过分离工作负载提升安全性和治理能力 + 995|- [Multi-Cloud](concepts/Multi-Cloud.md) — 使用多个云服务商服务的部署策略 + 996|- [DevOps](concepts/DevOps.md) — 结合开发与运营实现持续软件交付的方法论 + 997|- [DevOps 成熟度模型](concepts/DevOps-成熟度模型.md) — 评估组织 DevOps 实践水平的五级框架 + 998|- [SRE](concepts/SRE.md) — 站点可靠性工程，将软件工程方法应用于运维问题 + 999|- [泰勒制](concepts/泰勒制.md) — 基于标准化和效率最大化的工业管理方法，影响 AI 工具定位 + 1000|- [增量备份](concepts/增量备份.md) — 仅备份变化数据的备份策略 + 1001|- [NFS永久挂载](concepts/NFS永久挂载.md) — 通过 /etc/fstab 实现 NFS 开机自动挂载 + 1002|- [灾难恢复](concepts/灾难恢复.md) — 系统故障后的数据还原流程 + 1003|- [IaaS](concepts/IaaS.md) — 基础设施即服务，提供虚拟计算资源 + 1004|- [PaaS](concepts/PaaS.md) — 平台即服务，提供应用开发和部署平台 + 1005|- [SaaS](concepts/SaaS.md) — 软件即服务，以订阅方式提供软件应用 + 1006|- [CAPEX to OPEX](concepts/CAPEX-to-OPEX.md) — 从资本支出向运营支出的财务模式转变 + 1007|- [Cloud Security Maturity Model (CSMM)](concepts/Cloud-Security-Maturity-Model-CSMM.md) — 评估云安全成熟度的模型 + 1008|- [AWS Cloud Adoption Framework](concepts/AWS-Cloud-Adoption-Framework.md) — AWS 的云采纳框架 + 1009|- [Azure Cloud Adoption Framework](concepts/Azure-Cloud-Adoption-Framework.md) — Azure 的云采纳框架 + 1010|- [Google Cloud Adoption Framework](concepts/Google-Cloud-Adoption-Framework.md) — Google Cloud 的云采纳框架 + 1011|- [Cloud Center of Excellence (CCOE)](concepts/Cloud-Center-of-Excellence-CCOE.md) — 推动云采纳和治理的核心组织单元 + 1012|- [开源平替](concepts/开源平替.md) — 功能可替代闭源商业产品的开源项目 + 1013|- [Source-grounding](concepts/source-grounding.md) — NotebookLM 核心机制，仅使用用户上传的文档作为知识库 + 1014|- [Audio Overviews](concepts/audio-overviews.md) — 将文档转化为双人 AI 对话播客的功能 + 1015|- [教育资源数字化](concepts/教育资源数字化.md) — 将传统教育内容转化为数字格式的过程 + 1016|- [SDLC（软件开发生命周期）](concepts/SDLC.md) — 软件开发的六个阶段流程 + 1017|- [SAST（静态应用安全测试）](concepts/SAST.md) — 静态代码分析，在编码早期发现漏洞 + 1018|- [SCA（软件成分分析）](concepts/SCA.md) — 检测开源依赖中的已知漏洞 + 1019|- [IAST（交互式应用安全测试）](concepts/IAST.md) — 运行时动态检测安全问题 + 1020|- [梅林固件](concepts/梅林固件.md) — 华硕路由器第三方固件改良版，支持插件和高级网络配置 + 1021|- [科学上网](concepts/科学上网.md) — 通过代理服务器绕过网络限制访问被封锁网站的技术 + 1022|- [Clash](concepts/Clash.md) — 基于规则分流的代理客户端 + 1023|- [故障转移](concepts/故障转移.md) — 连接故障时自动切换至备用节点的机制 + 1024|- [代理链 (ProxyChains)](concepts/代理链-ProxyChains.md) — 强制终端命令走代理的工具 + 1025|- [透明代理](concepts/透明代理.md) — 通过防火墙规则强制流量走代理的机制 + 1026| + 1027|- [SSH](concepts/SSH.md) — 安全远程登录协议 + 1028|- [Socket Activation](concepts/Socket-Activation.md) — systemd 按需启动机制 + 1029|- [Scrapy](concepts/Scrapy.md) — Python 爬虫框架 + 1030|- [Playwright](concepts/Playwright.md) — Microsoft 浏览器自动化工具 + 1031|- [LaTeX编译](concepts/LaTeX编译.md) — 通过 pdflatex/xelatex/lualatex 将 LaTeX 源码编译为 PDF + 1032|- [arxiv-reader skill](concepts/arxiv-reader-skill.md) — arXiv 论文读取 skill（arxiv_fetch、arxiv_sections、arxiv_abstract） + 1033|- [BibTeX/BibLaTeX](concepts/BibTeX-BibLaTeX.md) — LaTeX 文档中管理参考文献的格式系统 + 1034|- [LaTeX模板](concepts/LaTeX模板.md) — 预配置的 LaTeX 文档类（article、IEEE、beamer、中文） + 1035|- [Ollama](concepts/Ollama.md) — 本地大语言模型运行环境 + 1036|- [指纹浏览器](concepts/指纹浏览器.md) — 模拟不同设备指纹的多账号浏览器，实现环境隔离 + 1037|- [SOCKS5代理](concepts/SOCKS5代理.md) — 支持 TCP/UDP 的网络代理协议，隐匿真实 IP + 1038|- [Docker Daemon 代理](concepts/Docker-Daemon-代理.md) — 为 Docker 守护进程配置代理，使 docker pull/push 能通过代理访问外网 + 1039|- [Docker-网桥](concepts/Docker-网桥.md) — Docker 虚拟网桥，容器与宿主机网络通信的桥梁 + 1040|- [Dockerfile](concepts/Dockerfile.md) — Docker 镜像构建文件，声明式配置镜像构建步骤 + 1041|- [Docker-Network](concepts/Docker-Network.md) — Docker 容器网络隔离和通信机制 + 1042|- [容器化媒体服务](concepts/容器化媒体服务.md) — 通过 Docker 容器化技术部署媒体应用的架构模式 + 1043|- [容器化仪表板](concepts/容器化仪表板.md) — 通过 Docker 容器化部署的仪表板应用，作为统一服务入口 + 1044|- [硬件转码](concepts/硬件转码.md) — 利用 GPU 硬件加速视频编码/解码 + 1045|- [IP纯净度](concepts/IP纯净度.md) — 评定 IP 安全可靠的风险等级指标 + 1046|- [x86_64](concepts/x86_64.md) — 64位 x86 架构，Intel 和 AMD 处理器使用的指令集 + 1047|- [ARM64](concepts/ARM64.md) — 64位 ARM 架构（AArch64），移动设备和部分服务器使用的指令集 + 1048|- [ELF](concepts/ELF.md) — 可执行和链接格式，Linux 可执行文件的标准格式 + 1049|- [CloudDrive2](concepts/CloudDrive2.md) — 阿里云盘挂载工具，可将云盘映射为本地磁盘 + 1050|- [Cloudflare D1](concepts/Cloudflare-D1.md) — Cloudflare 无服务器 SQL 数据库 + 1051|- [Cloudflare R2](concepts/Cloudflare-R2.md) — Cloudflare 无服务器对象存储，S3 兼容 + 1052|- [Vibe Coding](concepts/Vibe-Coding.md) — AI 辅助开发方式，自然语言描述需求，AI 负责代码实现 + 1053|- [Plan Mode](concepts/Plan-Mode.md) — OpenCode 方案预览模式，禁用修改仅展示实现计划 + 1054|- [Build Mode](concepts/Build-Mode.md) — OpenCode 实际执行模式，接收指令后进行代码修改 + 1055|- [Claude Code Templates](concepts/Claude-Code-Templates.md) — Claude Code 预配置模板平台，提供 Skills/Agents/MCP 模板 + 1056|- [npx](concepts/npx.md) — Node.js 官方包执行工具，无需全局安装即可运行 npm 包 + 1057|- [npm](concepts/npm.md) — Node.js 包管理器，用于安装、管理和分享 JavaScript 代码包 + 1058|- [nvm](concepts/nvm.md) — Node.js 版本管理工具，允许安装和切换多个 Node 版本 + 1059|- [pm2](concepts/pm2.md) — Node.js 进程管理器，提供进程守护、日志管理和负载均衡 + 1060|- [Node.js](concepts/Node-js.md) — 基于 Chrome V8 引擎的 JavaScript 运行时 + 1061|- [深度工作](concepts/深度工作.md) — 在无干扰状态下专注职业活动，提高认知产出 + 1062|- [任务管理](concepts/任务管理.md) — 个人待办事项的组织、追踪和完成过程 + 1063|- [双链（Backlinks）](concepts/shuang-lian-backlinks.md) — Obsidian 核心功能，将笔记双向关联形成知识网络 + 1064|- [信息黑洞](concepts/信息黑洞.md) — 只收集不使用的笔记困境，通过连接和复盘解决 + 1065|- [每日笔记](concepts/每日笔记.md) — 每日记录并关联旧笔记的工作方式 + 1066|- [地图笔记](concepts/地图笔记.md) — 整理核心主题的索引页，聚合相关笔记 + 1067|- [定期复盘](concepts/定期复盘.md) — 定期翻看旧笔记，删除无用内容 + 1068|- [知识网络](concepts/知识网络.md) — 通过双链关联形成的笔记网络结构 + 1069|- [Agent Skill 设计模式](concepts/Agent-Skill-设计模式.md) — Google 发布的 5 种 Agent Skill 设计模式（Tool Wrapper、Generator、Reviewer、Inversion、Pipeline） + 1070|- [Tool Wrapper](concepts/Tool-Wrapper.md) — 让 agent 快速成为某个领域专家的 Skill 模式 + 1071|- [Generator](concepts/Generator.md) — 从模板生成结构化输出的 Skill 模式 + 1072|- [Reviewer](concepts/Reviewer.md) — 把检查清单和检查逻辑分开的 Skill 模式 + 1073|- [Inversion](concepts/Inversion.md) — agent 先问用户再做的 Skill 模式 + 1074|- [Pipeline](concepts/Pipeline.md) — 带硬性检查点的严格工作流 Skill 模式 + 1075|- [SkillToolset](concepts/SkillToolset.md) — ADK 提供的 skill 工具集 + 1076|- [渐进式披露](concepts/渐进式披露.md) — 按需加载优化策略，减少 token 消耗 + 1077|- [一人公司模式](concepts/一人公司模式.md) — 用个人优势作为杠杆实现商业变现的创业模式 + 1078|- [Ikigai](concepts/Ikigai.md) — 热爱的、擅长的、市场需要的、能获得报酬的四者交集 + 1079|- [天才地带](concepts/天才地带.md) — 能产生心流的区域，时间飞逝精力充沛 + 1080|- [底层能力](concepts/底层能力.md) — 隐藏在活动表象下的核心能力 + 1081|- [产品体系](concepts/产品体系.md) — 引流→入门→核心→高价四级产品矩阵 + 1082|- [内容矩阵](concepts/内容矩阵.md) — 核心主题×内容形式的二维内容策略 + 1083|- [销售漏斗](concepts/销售漏斗.md) — 获客→激活→转化的客户转化路径 + 1084|- [信号驱动销售](concepts/信号驱动销售.md) — 基于购买信号触发外呼的销售方法论，比冷外呼转化率高 4-8 倍 + 1085|- [ICP 定义](concepts/ICP-定义.md) — 理想客户画像定义，通过 firmographic/behavioral qualifiers 和 disqualifiers 构建 + 1086| + 1087|- [工作流自动化](concepts/工作流自动化.md) — 预定义自动化流程，与 AI Agent 互补 + 1088|- [上下文记忆](concepts/上下文记忆.md) — AI Agent 保留对话历史的能力 + 1089|- [Preference Learning](concepts/Preference-Learning.md) — AI Agent 通过交互学习用户偏好，持续优化内容筛选 + 1090|- [N8N 节点](concepts/N8N-节点.md) — N8N 平台的基本构建单元（触发器、操作、工具、代码、高级 AI） + 1091|- [Agent Chain](concepts/Agent-Chain.md) — 多个 Agent 串联工作，各自负责不同阶段的流水线架构 + 1092|- [层级结构 (Hierarchy)](concepts/层级结构-Hierarchy.md) — Planner → Worker → Validator 三层架构，通过依赖图强制协作 + 1093|- [共识投票 (Consensus)](concepts/共识投票-Consensus.md) — 多数票机制抵消模型随机噪声 + 1094|- [对抗式辩论 (Adversarial Debate)](concepts/对抗式辩论-Adversarial-Debate.md) — 生成器+批评者+评委三角制衡 + 1095|- [淘汰制 (Knock-out)](concepts/淘汰制-Knock-out.md) — 适者生存机制，将 LLM 视为"牲畜" + 1096|- [可靠性工程](concepts/可靠性工程.md) — 将 LLM 视为分布式系统中不可靠组件的工程方法论 + 1097|- [Pre-Recording Research](concepts/Pre-Recording-Research.md) — 录制前的准备工作，包括嘉宾背景研究和话题深度挖掘 + 1098|- [Show Notes](concepts/Show-Notes.md) — 带有时间戳的节目笔记，帮助听众快速定位内容 + 1099|- [Social Media Kit](concepts/Social-Media-Kit.md) — 为每集播客生成的多平台宣传素材包 + 1100|- [去中心化协调](concepts/去中心化协调.md) — 通过共享状态文件实现多 Agent 自主协调的模式 + 1101|- [Subagent 管理](concepts/Subagent-管理.md) — 使用 sessions_spawn/sessions_send 管理子代理的技术 + 1102|- [项目状态管理](concepts/项目状态管理.md) — 基于 STATE.yaml 的任务追踪和协调机制 + 1103|- [Webhook](concepts/Webhook.md) — n8n 接收外部 HTTP POST 请求的触发器 + 1104|- [Credential Isolation](concepts/Credential-Isolation.md) — 凭证隔离模式，API 密钥存储在独立系统 + 1105|- [Lockable Workflow](concepts/Lockable-Workflow.md) — 可锁定工作流模式，锁定后 Agent 无法修改 + 1106|- [向量嵌入](concepts/向量嵌入.md) — 将文本转换为数值向量，用于语义相似度计算 + 1107|- [语义去重](concepts/语义去重.md) — 通过向量相似度判断创意是否重复的技术 + 1108| + 1109|- [Second Brain](concepts/Second-Brain.md) — 通过 AI Agent 实现的个人知识管理系统 + 1110|- [OpenClaw 部署专家](concepts/OpenClaw-部署专家.md) — AionUi 内置的 OpenClaw 安装、诊断、修复助手 + 1111| + 1112|- [数字导师](concepts/数字导师.md) — 用AI复活历史人物，让其成为日常对话的思维顾问 + 1113|- [思维蒸馏](concepts/思维蒸馏.md) — 通过6个并行Agent从6个维度提炼核心思维框架生成AI Skill的技术 + 1114|- [禅意](concepts/禅意.md) — 源于佛教禅宗的哲学思想，强调放下执着、内心宁静 + 1115|- [道法自然](concepts/道法自然.md) — 道家核心思想，万物依自然规律运行 + 1116|- [缘起性空](concepts/缘起性空.md) — 佛教核心概念，一切现象依赖条件存在，无独立自性 + 1117|- [大智若愚](concepts/大智若愚.md) — 藏锋守拙的生存哲学，真正的智慧看似愚钝 + 1118|- [Self-Serve Migration](concepts/Self-Serve-Migration.md) — 自服务迁移模式，各团队自行规划和执行迁移 + 1119|- [GitHub-Enterprise to GitLab Migration](concepts/GitHub-Enterprise-to-GitLab-Migration.md) — OpenText 将代码仓库从 GitHub Enterprise 迁移到 GitLab + 1120|- [Project Thor](concepts/Project-Thor.md) — OpenText 云平台标准化项目，五大支柱框架 + 1121| + 1122|- [和光同尘](concepts/和光同尘.md) — 收敛光芒，混同尘俗，不标新立异以保全自身 + 1123|- [无常](concepts/无常.md) — 佛教核心概念，世间万物不断变化、无永恒不变 + 1124|- [安之若命](concepts/安之若命.md) — 尽人事后坦然接受无法改变的结果 + 1125| + 1126|- [Designing for Agentic AI](concepts/Designing-for-Agentic-AI.md) — AI Agent 产品设计的五大最佳实践 + 1127| + 1128|- [内容技能](concepts/内容技能.md) — 内容生成和发布技能（xhs-images、infographic、cover-image 等） + 1129| + 1130|- [AI生成技能](concepts/AI生成技能.md) — AI 驱动的生成后端（imagine、gemini-web 等） + 1131| + 1132|- [工具技能](concepts/工具技能.md) — 内容处理工具（youtube-transcript、url-to-markdown、translate 等） + 1133| + 1134|- [AI-简报工作流](concepts/AI-简报工作流.md) — 先研究后设计的四阶段简报制作流程 + 1135|- [防彈筆記法](concepts/防彈筆記法.md) — 任务导向的知识管理系统（SSOT、目标行动决策同一笔记） + 1136|- [Generative AI](concepts/Generative-AI.md) — 擅长创建新内容（文本、图像、音乐）的 AI 系统 + 1137| + 1138|- [LLM](concepts/LLM.md) — 大型语言模型，AI 应用的"天才大脑"，擅长思考但对当前情况无知 + 1139| + 1140|- [需求拆解能力](concepts/需求拆解能力.md) — 将模糊的目标拆解为具体、可执行的子任务的能力 + 1141|- [结构化表达能力](concepts/结构化表达能力.md) — 用清晰的逻辑组织信息，让 AI 快速抓取核心的能力 + 1142|- [场景共情能力](concepts/场景共情能力.md) — 站在使用场景和受众角度，定义输出的标准与风格的能力 + 1143|- [迭代优化能力](concepts/迭代优化能力.md) — 通过测试反馈持续调整指令，逼近最优结果的能力 + 1144| + 1145|- [Technical-Domains](concepts/Technical-Domains.md) — 将公司技术栈划分为特定领域，每个领域由首席架构师负责生命周期与路线图 + 1146|- [Technical Architecture (TA)](concepts/Technical-Architecture-TA.md) — 最贴近技术的架构层，负责底层技术实施与基础设施治理 + 1147|- [Enterprise Architecture (EA)](concepts/Enterprise-Architecture-EA.md) — 架构体系高层，负责将业务目标转化为技术原则和标准 + 1148|- [Solution Architecture (SA)](concepts/Solution-Architecture-SA.md) — 架构体系中间层，专注特定项目或服务的优化实施 + 1149| + 1150|## Syntheses + 1151|- （暂无） + 1152| diff --git a/wiki/log.md b/wiki/log.md index 41d8b1b7..b11b0a04 100644 --- a/wiki/log.md +++ b/wiki/log.md @@ -1,62 +1,108 @@ -## [2026-04-20] ingest | Document Generator -- Source file: raw/Agent/agency-agents/specialized/specialized-document-generator.md +## [2026-04-20] ingest | Corporate Training Designer +- Source file: raw/Agent/agency-agents/specialized/corporate-training-designer.md - Status: ✅ 成功摄入 -- Summary: Document Generator 是 The Agency 体系中的程序化文档创建智能体，专注于通过代码、模板与样式系统生成 PDF、PPTX、XLSX 与 DOCX -- Concepts created: Document Generation -- Entities created: Document Generator, The Agency（更新） -- Source page: wiki/sources/specialized-document-generator.md +- Summary: 企业培训系统架构与课程开发专家智能体，覆盖培训需求分析、课程体系设计、教学方法论（ADDIE/SAM/Bloom's/Kirkpatrick）、企业内部培训师培养（TTT）、新员工 90 天计划、领导力发展、合规培训 +- Concepts created: ADDIE 模型、SAM 模型、Bloom's Taxonomy、Kirkpatrick 四级评估模型、混合学习、 Kolb 体验式学习、TTT、HIPO 计划、360 度反馈、行动学习、翻转课堂、建构主义学习理论、Gamification、新员工培训 90 天计划 +- Entities created: DingTalk Learning、WeCom Learning、Feishu Knowledge Base、UMU Interactive Learning Platform、Yunxuetang、KoolSchool +- Source page: wiki/sources/corporate-training-designer.md - Notes: -## [2026-04-20] ingest | Identity Graph Operator -- Source file: raw/Agent/agency-agents/specialized/identity-graph-operator.md +## [2026-04-20] ingest | Healthcare Marketing Compliance Specialist +- Source file: raw/Agent/agency-agents/specialized/healthcare-marketing-compliance.md - Status: ✅ 成功摄入 -- Summary: Identity Graph Operator 负责多智能体系统中的共享身份图与实体归一化，确保不同 agent 面对同一现实世界实体时得到同一 canonical identity，并保留合并/拆分的审计与回滚能力 -- Concepts created: Identity Governance -- Entities created: Identity Graph Operator, The Agency（更新） -- Source page: wiki/sources/identity-graph-operator.md +- Summary: Healthcare Marketing Compliance Specialist defines a China-focused compliance role spanning medical advertising, internet healthcare, medical aesthetics, supplements, privacy, and academic detailing +- Concepts created: Healthcare Marketing Compliance, Medical Advertising Compliance, Health Supplement Marketing, Internet Healthcare Compliance, Medical Aesthetics Compliance, Patient Privacy Protection, Academic Detailing Compliance +- Entities created: Healthcare Marketing Compliance Specialist +- Source page: wiki/sources/healthcare-marketing-compliance.md - Notes: -## [2026-04-20] ingest | Recruitment Specialist -- Source file: raw/Agent/agency-agents/specialized/recruitment-specialist.md -- Status: ✅ 成功摄入 -- Summary: Recruitment Specialist 是 The Agency 体系中的招聘运营与人才获取专家，覆盖中国主流招聘平台、结构化面试、劳动法合规、候选人体验与 onboarding -- Concepts created: Recruitment Operations, Talent Assessment, Labor Law Compliance, Candidate Experience, Employer Brand, ATS, Onboarding -- Entities created: Recruitment Specialist, The Agency（更新) -- Source page: wiki/sources/recruitment-specialist.md -- Notes: + 1|## [2026-04-20] ingest | LLM Wiki + 2|- Source file: raw/Agent/LLM Wiki.md + 3|- Status: ✅ 成功摄入 + 4|- Summary: LLM Wiki 描述了一个由 LLM 持续编译和维护的持久化 wiki 模式，让知识从一次性检索转变为可累积、可追溯、可维护的长期资产 + 5|- Concepts created: LLM Wiki + 6|- Entities created: — + 7|- Source page: wiki/sources/LLM-Wiki.md + 8|- Notes: + 9| + 10|## [2026-04-20] ingest | Document Generator + 11|- Source file: raw/Agent/agency-agents/specialized/specialized-document-generator.md + 12|- Status: ✅ 成功摄入 + 13|- Summary: Document Generator 是 The Agency 体系中的程序化文档创建智能体，专注于通过代码、模板与样式系统生成 PDF、PPTX、XLSX 与 DOCX + 14|- Concepts created: Document Generation + 15|- Entities created: Document Generator, The Agency（更新） + 16|- Source page: wiki/sources/specialized-document-generator.md + 17|- Notes: + 18| + 19|## [2026-04-20] ingest | Identity Graph Operator + 20|- Source file: raw/Agent/agency-agents/specialized/identity-graph-operator.md + 21|- Status: ✅ 成功摄入 + 22|- Summary: Identity Graph Operator 负责多智能体系统中的共享身份图与实体归一化，确保不同 agent 面对同一现实世界实体时得到同一 canonical identity，并保留合并/拆分的审计与回滚能力 + 23|- Concepts created: Identity Governance + 24|- Entities created: Identity Graph Operator, The Agency（更新） + 25|- Source page: wiki/sources/identity-graph-operator.md + 26|- Notes: + 27| + 28|## [2026-04-20] ingest | Recruitment Specialist + 29|- Source file: raw/Agent/agency-agents/specialized/recruitment-specialist.md + 30|- Status: ✅ 成功摄入 + 31|- Summary: Recruitment Specialist 是 The Agency 体系中的招聘运营与人才获取专家，覆盖中国主流招聘平台、结构化面试、劳动法合规、候选人体验与 onboarding + 32|- Concepts created: Recruitment Operations, Talent Assessment, Labor Law Compliance, Candidate Experience, Employer Brand, ATS, Onboarding + 33|- Entities created: Recruitment Specialist, The Agency（更新) + 34|- Source page: wiki/sources/recruitment-specialist.md + 35|- Notes: + 36| + 37|## [2026-04-20] ingest | Civil Engineer + 38|- Source file: raw/Agent/agency-agents/specialized/specialized-civil-engineer.md + 39|- Status: ✅ 成功摄入 + 40|- Summary: Civil Engineer 是一位严谨的土木/结构工程智能体，强调在多国标准下输出安全、经济、可施工的设计，并同时检查 ULS 与 SLS + 41|- Concepts created: Global Standards Coverage + 42|- Entities created: Civil Engineer, The Agency（更新） + 43|- Source page: wiki/sources/specialized-civil-engineer.md + 44|- Notes: + 45| + 46|## [2026-04-20] ingest | Experiment Tracker + 47|- Source file: raw/Agent/agency-agents/project-management/project-management-experiment-tracker.md + 48|- Status: ✅ 成功摄入 + 49|- Summary: Experiment Tracker 是一位专注于实验设计、执行跟踪和数据驱动决策的项目管理智能体，覆盖 A/B 测试、假设验证、样本量计算、随机分配、风险监控与回滚 + 50|- Concepts created: A/B Testing, Hypothesis Testing, Statistical Significance, Power Analysis, Randomization + 51|- Entities created: Experiment Tracker, Project Shepherd（更新） + 52|- Source page: wiki/sources/project-management-experiment-tracker.md + 53|- Notes: + 54| + 55|## [2026-04-20] ingest | Studio Operations + 56|- Source file: raw/Agent/agency-agents/project-management/project-management-studio-operations.md + 57|- Status: ✅ 成功摄入 + 58|- Summary: The Agency 项目中的 Studio Operations Agent，负责日常工作室运营、流程优化和资源协调，强调标准化、资源管理和持续改进 + 59|- Concepts created: Process Optimization, Resource Allocation, Operational Excellence, Cross-Functional Leadership + 60|- Entities created: Studio Operations, The Agency（更新） + 61|- Source page: wiki/sources/project-management-studio-operations.md + 62|- Notes: + 63| + 64|## [2026-04-20] ingest | Workflow Architect + 65|- Source file: raw/Agent/agency-agents/specialized/specialized-workflow-architect.md + 66|- Status: ✅ 成功摄入 + 67|- Summary: Workflow Architect 是 The Agency 体系中的工作流设计专家智能体，负责把系统行为拆解为完整流程树，覆盖分支、失败模式、恢复路径与交接契约 + 68|- Concepts created: Workflow Architecture + 69|- Entities created: Workflow Architect, The Agency（更新） + 70|- Source page: wiki/sources/specialized-workflow-architect.md + 71|- Notes: + 72| + 73|## [2026-04-20] ingest | Government Digital Presales Consultant + 74|- Source file: raw/Agent/agency-agents/specialized/government-digital-presales-consultant.md + 75|- Status: ✅ 成功摄入 + 76|- Summary: Government Digital Presales Consultant 是面向中国政府数字化转型市场的售前专家，覆盖政策解读、方案设计、招投标、POC 验证与合规适配 + 77|- Concepts created: Digital Government, Smart City, Government Procurement, Dengbao, Miping, Xinchuang + 78|- Entities created: Government Digital Presales Consultant + 79|- Source page: wiki/sources/government-digital-presales-consultant.md + 80|- Notes: + 81| -## [2026-04-20] ingest | Civil Engineer -- Source file: raw/Agent/agency-agents/specialized/specialized-civil-engineer.md +## [2026-04-20] ingest | Cultural Intelligence Strategist +- Source file: raw/Agent/agency-agents/specialized/specialized-cultural-intelligence-strategist.md - Status: ✅ 成功摄入 -- Summary: Civil Engineer 是一位严谨的土木/结构工程智能体，强调在多国标准下输出安全、经济、可施工的设计，并同时检查 ULS 与 SLS -- Concepts created: Global Standards Coverage -- Entities created: Civil Engineer, The Agency（更新） -- Source page: wiki/sources/specialized-civil-engineer.md -- Notes: - -## [2026-04-20] ingest | Experiment Tracker -- Source file: raw/Agent/agency-agents/project-management/project-management-experiment-tracker.md -- Status: ✅ 成功摄入 -- Summary: Experiment Tracker 是一位专注于实验设计、执行跟踪和数据驱动决策的项目管理智能体，覆盖 A/B 测试、假设验证、样本量计算、随机分配、风险监控与回滚 -- Concepts created: A/B Testing, Hypothesis Testing, Statistical Significance, Power Analysis, Randomization -- Entities created: Experiment Tracker, Project Shepherd（更新） -- Source page: wiki/sources/project-management-experiment-tracker.md -- Notes: - -## [2026-04-20] ingest | Studio Operations -- Source file: raw/Agent/agency-agents/project-management/project-management-studio-operations.md -- Status: ✅ 成功摄入 -- Summary: The Agency 项目中的 Studio Operations Agent，负责日常工作室运营、流程优化和资源协调，强调标准化、资源管理和持续改进 -- Concepts created: Process Optimization, Resource Allocation, Operational Excellence, Cross-Functional Leadership -- Entities created: Studio Operations, The Agency（更新） -- Source page: wiki/sources/project-management-studio-operations.md -- Notes: - -## [2026-04-20] ingest | Government Digital Presales Consultant -- Source file: raw/Agent/agency-agents/specialized/government-digital-presales-consultant.md -- Status: ✅ 成功摄入 -- Summary: Government Digital Presales Consultant 是面向中国政府数字化转型市场的售前专家，覆盖政策解读、方案设计、招投标、POC 验证与合规适配 -- Concepts created: Digital Government, Smart City, Government Procurement, Dengbao, Miping, Xinchuang -- Entities created: Government Digital Presales Consultant -- Source page: wiki/sources/government-digital-presales-consultant.md +- Summary: Cultural Intelligence Strategist 检测产品、提示词和工作流中的 invisible exclusion，并推动 global-first、文化谦逊与上下文语义审查 +- Concepts created: Cultural Intelligence, Invisible Exclusion, Global-First Architecture, Contextual Semiotics, Cultural Humility +- Entities created: Cultural Intelligence Strategist +- Source page: wiki/sources/specialized-cultural-intelligence-strategist.md - Notes: diff --git a/wiki/overview.md b/wiki/overview.md index 4908b2cf..f6d176e0 100644 --- a/wiki/overview.md +++ b/wiki/overview.md @@ -1,379 +1,384 @@ -# Wiki Overview - -## 主题领域 -AI 开源项目、Cloud & DevOps、Vibe Coding、AI时代个人发展、跨境电商 - -## 核心概念 -- The Agency：开源 AI 智能体集合项目，汇集各类专业化 AI Agent -- Image Prompt Engineer：The Agency 项目中的 AI 图像生成提示词工程专家智能体，专注于将视觉概念转化为精确的提示词语言 -- Agentic Identity & Trust Architect：The Agency 中负责自治 AI Agent 身份、授权、证据链与信任评分的专家智能体 -- 智能体设计规范：智能体文件结构、身份与记忆、核心使命、技术交付物、工作流程的完整定义 -- 智能体设计原则：六大设计原则（鲜明性格、明确交付物、成功指标、经过验证的工作流、学习记忆、真实场景测试） -- UX Architect：The Agency 项目中的技术架构与 UX 专家智能体，为开发者提供 CSS 设计系统、布局框架、主题切换机制和清晰实现路径 -- UI Designer：The Agency 项目中的 UI 设计智能体，专门负责创建美观、一致、可访问的用户界面，提供设计系统、组件库和像素级界面实现 -- UX Researcher：The Agency 项目中的用户体验研究智能体，专注于用户行为分析、可用性测试和数据驱动的设计决策验证 -- Brand Guardian：The Agency 项目中的品牌战略与身份保护专家智能体，专注于品牌基础框架、视觉识别系统、品牌一致性与价值保护 -- Paid Media Programmatic & Display Buyer：The Agency 项目中的付费媒体程序化购买与展示广告智能体，专注于 DSP 平台管理、Google 展示网络、ABM 展示执行和合作伙伴媒体策略 -- Paid Media PPC Campaign Strategist：The Agency 项目中的付费媒体 PPC 智能体，负责大规模搜索、购物和效果最大化广告系列架构设计 -- Paid Media Ad Creative Strategist：The Agency 项目中的付费媒体广告创意策略智能体，专注于广告文案撰写、响应式搜索广告（RSA）优化和创意测试框架 -- Paid Media Auditor：The Agency 项目中的付费媒体审计智能体，系统化评估 Google Ads、Microsoft Ads 和 Meta 广告账户，识别 15-30% 效率提升机会 -- Paid Media Paid Social Strategist：The Agency 项目中的付费社交媒体广告智能体，跨平台覆盖 Meta、LinkedIn、TikTok 等 -- Paid Media Tracking & Measurement Specialist：The Agency 项目中的付费媒体追踪与测量专家智能体，专注于 GTM 容器架构、GA4 事件设计、服务端标记和跨平台转化归因 -- Search Query Analyst：The Agency 项目中的付费搜索查询分析智能体，专注于搜索词报告挖掘、N-gram 分析、否定关键词架构和查询意图映射，可消除 10-20% 非转化支出 -- Sales Discovery Coach：The Agency 项目中的销售发现方法论指导智能体，教导销售团队通过提问、当前状态映射、差距量化和电话结构发现真正购买动机 -- Outbound Strategist：The Agency 项目中的基于信号触发的外呼销售策略智能体，通过购买信号识别、多渠道序列设计和 ICP 定义提升外呼转化率 -- 信号驱动销售：基于购买信号（Intent Signal）触发外呼的销售方法论，比无差别冷外呼转化率高 4-8 倍 -- Deal Strategist：The Agency 项目中的销售交易策略智能体，专注于 MEDDPICC 资格认证、竞争定位和赢单规划 -- Proposal Strategist：The Agency 项目中的销售提案策略智能体，将 RFP 响应转化为制胜叙事，擅长制胜主题开发、三幕式提案叙事和竞争定位 -- Sales Account Strategist：The Agency 项目中的售后账户策略专家智能体，专注于 Land-and-Expand 执行、利益相关者映射、QBR 设计和净收入留存 -- Pipeline Analyst：The Agency 项目中的销售管道健康诊断智能体，专注于交易速度分析、管道健康评估和收入预测准确性，将 CRM 数据转化为可操作情报 -- Studio Producer：The Agency 项目中的 Studio Producer Agent，资深战略领导者，专注于高层次创意与技术项目编排、资源配置和多项目组合管理，将创意愿景与业务目标对齐 -- Project Shepherd：The Agency 项目中的专业项目管理人员智能体，专注于跨职能项目协调、时间线管理和利益相关方对齐，确保 95% 项目按时在预算内交付 -- 项目章程：定义项目目标、范围、成功标准和治理结构的标准化文档模板，是项目启动阶段的核心交付物 - -- Senior Project Manager：将规格文件转化为开发可执行的任务清单，强调现实的范围设定、每项任务的可实施时间（30–60 分钟）并保存任务清单以支持后续项目记忆与改进 - -- XR Immersive Developer：The Agency 项目中的 WebXR 沉浸式技术开发专家，专注于基于浏览器的 AR/VR/XR 应用开发 -- XR Cockpit Interaction Specialist：The Agency 项目中的 XR 座舱交互专家智能体，专注于设计和开发 XR 环境的沉浸式座舱控制系统 -- XR Interface Architect：The Agency 项目中的 XR 界面架构师智能体，专注于沉浸式 3D 环境的空间界面设计，关注最小化晕动症和增强临场感 -- macOS Spatial/Metal Engineer：The Agency 项目中的 macOS 空间计算与 Metal 渲染工程师智能体，专注于 Native Swift 和 Metal 高性能 3D 渲染，支持 Vision Pro 远程沉浸式空间集成 -- visionOS Spatial Engineer：The Agency 项目中的 visionOS 空间计算原生开发专家智能体，专注于 Native visionOS 空间计算、SwiftUI 体积化界面和 Liquid Glass 设计实现 -- Terminal Integration Specialist：The Agency 项目中的终端仿真和 SwiftTerm 集成专家智能体，专注于终端仿真、文本渲染优化和 Swift 应用集成 -- 空间计算（Spatial Computing）：一种计算范式，通过将数字内容与物理空间无缝融合，使用户能够与计算机生成的环境进行自然交互 -- WebXR：W3C 制定的浏览器标准接口，用于提供沉浸式 VR 和 AR 体验 -- 账户架构：PPC 广告活动的组织结构设计，涵盖活动结构、广告组分类、标签系统、命名规范，可实现 10K 到 10M+ 月预算的可扩展投放 -- 自动化出价策略：PPC 广告平台的智能出价优化机制，包括 tCPA、tROAS、Max Conversions、Max Conversion Value 等策略 -- 绩效最大化：Google Ads 的自动化全渠道投放类型，通过机器学习在全渠道自动优化广告投放 -- 程序化购买：通过 DSP 平台自动化采购展示广告库存的技术，实现实时竞价和效果优化 -- 展示广告：在第三方网站、应用和社交媒体上呈现的视觉广告，侧重品牌建设和潜在客户获取 -- 可见度标准：衡量数字广告是否真正被用户看到的指标（MRC 标准：70%+ 可见展示） -- Pull Request 流程：从提交前准备到 PR 审核的完整流程（社区评审、迭代优化、通过审核、合并上线） -- Print Mode：Hermes 通过 stdin 调用 Claude Code 的非交互执行模式 -- TMUX 交互模式：在 TMUX 会话中运行 Claude Code 的交互模式，适合超长任务 -- DeepSeek：中国 AI 公司开发的大语言模型，以开源和高效著称，DeepSeek-R1 在复杂任务处理方面表现出色 -- 提示语设计：通过精心设计的提示词提升 AI 输出质量的技术 -- Prompt Library：提示词库，提供现成提示词供用户参考和定制 -- Prompt 能力：结构化思维+精准表达能力，包含需求拆解、结构化表达、场景共情、迭代优化四个维度 -- Nano Banana Pro：Google 的专业级图像生成模型，具备物理规则推演、构图美学理解、语义上下文推理能力 -- Nano Banana 2：Google 的推理型图像生成模型（Gemini 3 Pro Image），支持 1K/2K/4K 分辨率，可组合 14 张输入图像，具备多语言长文本渲染和最新知识支持能力 -- AI幻觉：AI 生成看似合理但实际错误的内容，需通过技巧避免 -- Wayland：Linux 桌面环境的现代显示协议，Ubuntu 24.04 默认使用，出于安全限制外部程序在未登录状态下获取屏幕控制权 -- X11 (Xorg)：传统 Linux 显示协议，兼容性更好，支持远程桌面软件，是 Wayland 的替代方案 -- GDM3：GNOME Display Manager，Ubuntu 的登录管理器，支持 Wayland 和 X11 两种显示协议 -- ITSM（IT 服务管理）：从工单系统演进为战略推动者，实现运营卓越、风险缓解和创新加速 -- Identity Governance（身份治理）：管理数字身份、降低风险并保持合规的框架，回答谁有权访问、谁应该访问、如何访问三个核心问题 -- Multi-Account Strategy（多账号策略）：AWS 推荐的企业级云架构模式，通过将工作负载分离到多个 AWS 账号来提升安全性、治理能力和故障隔离 -- Gruntwork Landing Zone：Gruntwork 提供的预配置 AWS 基础架构框架，基于 Reference Architecture 包含核心账户和工作负载账户 -- Landing Zone：云着陆区，标准化的多账户基础架构框架，用于托管产品团队的工作负载 -- Terraform：基础设施即代码工具，通过声明式配置定义云资源，实现跨平台基础设施管理 -- Terragrunt：Terraform 的包装工具，提供模块化、变量共享和环境隔离，跨多账户部署 -- TerraTest：Golang 编写的自动化基础设施测试库，自动化 Terraform apply-test-destroy 流程 -- Test-Driven Development：测试驱动开发方法论，先写测试再实现功能 -- Service Catalog：服务目录，封装业务需求的模块分组，提供服务级别抽象，实现跨团队复用 -- Module：Terraform 模块，可复用的基础设施配置单元 -- ECS (Elastic Container Services)：AWS 专有容器编排服务，与 AWS 服务深度集成，支持自动扩展、自动修复和金丝雀部署 - -- AWS SES (Simple Email Service)：AWS 提供的基于云的邮件发送服务，支持 API 或 SMTP 接口发送邮件，通过 VPC 终端节点实现私有访问 - -- VPC Endpoint：AWS 私有网络连接服务，允许 VPC 中的资源安全访问 AWS 服务而不经过公网 - -- Secrets Manager：AWS 凭证管理服务，用于安全存储和检索敏感信息 - -- DKIM (DomainKeys Identified Mail)：电子邮件验证标准，通过数字签名确保邮件完整性和发件人身份 - -- CCOE（Cloud Center of Excellence）：推动云采纳和治理的核心组织单元，负责 AMI 标准制定和发布 - -- OpsBridge（运营桥）：Micro Focus 的企业级监控平台，支持 AWS 云监控，可部署在本地或 EKS 上 -- Cloud Monitoring（云监控）：OpsBridge 的核心功能，支持监控 20+ AWS 数据服务 -- Optic Data Lake：OpsBridge 的数据存储层，使用 Vertica 数据库支撑高性能仪表板 - -- AWS Workspaces：AWS 提供的托管桌面即服务（DaaS）解决方案，预装开发工具实现快速生产力 - -- Standard AMI：AWS 标准机器镜像，包含 OS 加固、最新安全补丁，并支持域集成、SSM agent、DNS 设置，每两个月发布一次 -- Cloud Guardrails：云守护栏，捕获可扩展性、成本最小化和灵活性的强制性要求和最佳实践 -- Tagging Methodology：标签方法论，通过为资源定义标准化的元数据（如 Owner, BU, Product, Environment），作为自动化管理和安全策略执行的基础 -- IPAM（IP Address Management）：IP 地址管理工具，用于规划、追踪和管理 IP 地址空间，实现 VPC IP 地址自动化分配 -- RTO（Recovery Time Objective）：系统允许的最大停机时间，是灾难恢复的核心指标 -- RPO（Recovery Point Objective）：可接受的最大数据丢失量，是数据保护的核心指标 -- Feature Flag（特性开关）：控制代码路径而不需要重新部署的机制，实现秒级回滚和低 RTO/RPO -- 开源平替：功能可替代闭源商业产品的开源项目 -- Cloud Maturity Model（云成熟度模型）：评估组织云采纳就绪程度的5级框架 -- DevOps 成熟度模型：评估组织 DevOps 实践水平的分级框架 -- DevOps 文化：打破开发与运维壁垒，优先协作、持续学习和客户导向的文化理念 -- CI/CD 流水线：自动化测试、集成和部署的持续交付管道 -- Infrastructure as Code (IaC)：通过代码实现一致性、版本控制的基础设施管理 -- Renovate Bot：开源依赖自动化更新工具，通过扫描代码并自动提交 PR 保持依赖项处于最新状态 -- 敏捷实践：Scrum、Kanban 等迭代开发方法论 -- 事件驱动项目管理：使用数据库存储项目状态和历史事件，通过 AI Agent 自然语言交互替代静态 Kanban 看板 -- 内网穿透（NAT Penetration）：将内网服务通过公网服务器暴露给外部访问的技术，FRP 是常用方案之一 -- Workspace：OpenClaw 中 Agent 的工作台目录，包含 AGENTS.md、SOUL.md、USER.md、IDENTITY.md、TOOLS.md、BOOTSTRAP.md、memory/ 等配置文件 -- Memory 目录：OpenClaw 的长期记忆机制，按日期滚动存储跨会话积累的信息 -- Apache Superset：Apache 软件基金会旗下的开源 BI 平台，支持数据可视化、仪表盘和 SQL 探索 -- Superset Dashboard：Apache Superset 数据可视化仪表盘，包含图表、过滤器、布局的完整组合 -- SQL View：预处理的数据库视图，用于解析 JSON 字段和计算派生指标 -- KPI 卡片：关键绩效指标可视化展示（总产品数、热卖产品数、平均评分等） -- 选品评分模型：通过加权公式自动推荐优质产品的算法（score = sold × 0.4 + rating × 12 + rating_count × 0.2 + discount_percent × 0.5） -- 单一职责：每个文件、类、函数只负责一件事的设计原则 -- DRY 原则：Don't Repeat Yourself，避免重复代码的核心原则 -- 微服务：独立开发、独立部署、独立扩容的架构模式 -- 消息队列：服务间异步通信的中间件技术，实现解耦和削峰填谷 -- Obsidian 插件组合：根据不同使用场景将 Obsidian 核心插件进行合理搭配的策略（知识管理流、任务管理流、学习研究流） -- Graph View：Obsidian 的知识网络可视化，发现孤立页面和知识盲区 -- 版本控制：Git 管理笔记历史变更，每次更新对应 commit -- 信息黑洞：只收集不使用的笔记困境，通过连接和复盘解决 -- 通过 VPS+内网反向代理实现域名访问内网穿透 — 使用 FRP+Caddy 实现内网服务穿透，Aliyun DNS 域名管理 -- n8n-mcp：连接 n8n 与 AI 模型的桥接项目，提供 543 个 n8n 节点访问能力，支持自然语言生成工作流 -- Last-30-Days-Skill：Matt Van Horn 开发的多平台热门内容研究技能，支持 Reddit、X、YouTube、TikTok、Instagram、Hacker News、Polymarket、Web 共 8 个数据源 -- Market-Research：通过用户反馈和数据分析识别产品机会的过程 -- 通才：跨领域知识整合者，拥有广泛兴趣和多元能力的人才 -- 第二次文艺复兴：AI时代每个人可以追求多领域精通 -- 品牌作为环境：品牌是小世界而非头像和简介 -- 记忆后端（Memory Backend）：AI 记忆工具的 Camp 1 方案，从对话中提取事实存储到向量数据库 -- 上下文基质（Context Substrate）：AI 记忆工具的 Camp 2 方案，通过维护结构化文件实现上下文累积 - -- WSL2：Windows Subsystem for Linux 2，Windows 上的 Linux 兼容层 -- 镜像网络模式：WSL2 与 Windows 共享网络堆栈的配置模式 -- .wslconfig：WSL2 全局配置文件，位于用户目录 -- Ikigai：热爱的、擅长的、市场需要的、能获得报酬的四者交集 -- 天才地带：能产生心流的区域，时间飞逝精力充沛 -- 底层能力：隐藏在活动表象下的核心能力 -- 产品体系：引流→入门→核心→高价四级产品矩阵，客户信任逐步建立 -- 内容矩阵：核心主题×内容形式的二维内容策略，一次制作百次���发 -- 销售漏斗：获客→激活→转化的客户转化路径 -- Task Automation：自动将任务创建过程从手动操作转化为系统执行的机制 -- Agent Task Visibility：AI Agent 任务对用户的透明化展示机制，通过外部工具实时展示任务状态、进度和内部推理过程 -- 习惯追踪与问责伙伴：AI Agent 定时主动检查用户习惯完成情况，通过 Telegram/SMS 实现主动问责，追踪连续打卡并自适应调整提醒语气 -- 品味：能判断AI方案中哪个是insanely great的能力，AI时代的核心竞争力 -- 端到端：从想法到产品的完整控制权，不做流水线零件 -- 死亡过滤器：每天问自己"如果今天是最后一天，我还会做今天要做的事吗？"，用于聚焦真正热爱的事 -- 数字导师：用AI复活历史人物，让其成为日常对话的思维顾问，通过思维蒸馏技术提取人物的核心心智模型 -- 思维蒸馏：通过6个并行Agent从6个维度（著作、对话、表达DNA、他者视角、决策、时间线）采集信息，提炼核心思维框架生成AI Skill的技术 -- Claude Skills：写给 Claude 的"说明书"和技术规范，将反复执行的任务拆解为 AI 可稳定复用流程的技术范式 -- Document Generation：通过代码和模板生成 PDF、PPTX、XLSX、DOCX 等专业文档的自动化工作流 -- **baoyu-skills**：宝玉分享的 Claude Code 技能集，提供内容生成（小红书图片、信息图、封面图、幻灯片、漫画、文章插图）、AI 生成（多服务商图像生成）、工具（YouTube 字幕下载、URL 转 Markdown、社交媒体发布）17+ 个技能 -- Zettelkasten：卢曼卡片盒知识管理系统，通过原子化笔记和索引入口构建知识网络 -- **fireworks-tech-graph**：AI 驱动技术图生成工具，将中文描述转化为 SVG/PNG 格式的架构图、流程图、UML 图 - -- Foundation Model（基础模型）：具有数十亿参数的大规模预训练模型，是生成式 AI 的核心 -- Amazon Bedrock：AWS 全托管服务，用于使用基础模型构建生成式 AI 应用 -- Amazon SageMaker：AWS 机器学习平台，用于构建、训练和部署模型 -- ML Ops：机器学习运维，结合 ML 和 DevOps 实践 -- Fine-Tuning：使用标记数据集定制基础模型 -- Responsible AI：负责任 AI，包括公平性、可解释性、健壮性、治理、透明度和隐私/安全 - -- 开源大语言模型：以 DeepSeek、Qwen 为代表的开源基座大模型 -- AI生图模型：以 Flux、Stable Diffusion 为代表的开源图像生成模型 -- AI生视频模型：以 HunyuanVideo 为代表的开源视频生成模型 -- 模块化Prompt库：将 Prompt 拆分为可复用的独立模块 -- 图生视频：AI 将静态图像转化为动态视频的技术 -- AI智能体：以 Manus/OpenManus 为代表的通用 AI 代理 -- AI编程工具：以 Cline 为代表的 AI 增强代码编辑器插件 -- 智能体工作流：以 n8n、Dify 为代表的工作流自动化平台 -- AI搜索引擎：以 Perplexica 为代表的 AI 搜索开源项目 -- AI知识库：以 NotebookLM 开源平替为代表的 AI 知识管理工具 - -- LLM（Large Language Model）：大型语言模型，行业以参数规模衡量，通常 ≥1B 参数被称为"大模型" -- MCP（Model Context Protocol）：模型上下文协议，为 LLM 提供标准化接口，使其能够连接外部数据源和工具 -- Agent 智能体：整合 LLM 与 MCP 工具才能真正执行步骤，而不仅是给出方法 -- Coze（扣子）：字节跳动旗下 AI Agent 开发平台，支持国内版（coze.cn）和海外版（coze.com） -- Coze Workflow：Coze 平台的工作流模式，支持复杂企业级业务逻辑编排 -- Bot：Coze 平台的对话型 AI 智能体，最基础的智能体开发模式 -- RAG（Retrieval-augmented generation）：检索增强生成，通过检索增强解决 LLM 的幻觉问题 -- 向量嵌入：将文本转换为数值向量，用于语义相似度计算 -- Vector Store（向量数据库）：存储 Embedding Vector 并实现相似度检索的技术（如 Qdrant、Chroma 等） -- Document Loader：文档加载器，从不同数据源抓取数据（如 LangChain 的 160+ 加载器） -- Context Window：上下文窗口，Embedding Model 能接受的最大 token 数量（一般 512~8192） -- Split（文档块）：将长文档切分成的满足 Context Window 要求的文本块 -- LangChain：简化 RAG 管道构建的 Python 框架，提供文档加载、向量存储、链式调用等功能 -- Embedding（向量化）：将词转化为一连串浮点数，计算词与词之间的语义距离 -- vLLM：虚拟大语言模型，通过 PagedAttention 和连续批处理优化 GPU 内存使用 -- Token：大模型的基本输入单元，1 个英文字符 ≈ 0.3 个 token，1 个中文字符 ≈ 0.6 个 token -- 数据蒸馏（Data Distillation）：利用大模型生成精简数据训练小模型，使其逼近大模型效果 - -- Source-grounding：NotebookLM 的核心机制，仅使用用户上传的文档作为知识库 -- Audio Overviews：将文档转化为双人 AI 对话播客的功能，适合被动学习 - -- 递归自优化生成系统（Recursive Self-Optimizing Generative Systems）：通过迭代自修改构建稳定生成能力的系统，目标不是直接产生最优输出，而是收敛到生成器空间的不动点 -- Generator Space：生成器空间 G ⊆ P^I，每个生成器 G: I → P -- Self-Map：自映射 Φ: G → G，定义单步更新函数 -- Fixed Point：不动点 G*，满足 Φ(G*) = G*，表示系统稳定状态 -- Y Combinator：Y 不动点组合子，用于 λ-calculus 中表达递归自引用 - -- 自托管 AI Agent 排查思路：不要默认认为错误信息就是表面意思，两层配置要分清（全局 compaction 配置和 agent 模型配置），日志真的有用，工具/系统越复杂，问题的隐藏路径越深 - -- Self-Healing Systems（自愈系统）：主动检测异常并自动修复的系统，无需人工干预即可恢复正常运行状态 -- Cron Jobs（定时任务）：Linux 基于时间的任务调度机制，AI Agent 通过定时作业实现持续自动化价值 -- Multi-Agent Team（多 Agent 团队）：多 Agent 协作架构，每个 Agent 有独立角色、人格、优化的模型，通过共享内存+私有上下文实现协同 -- 多智能体系统可靠性：层级结构、共识投票、对抗式辩论、淘汰制四种架构模式，将 LLM 视为不可靠组件的工程思维 -- 层级结构 (Hierarchy)：Planner → Worker → Validator 三层架构，通过依赖图强制协作 -- 共识投票 (Consensus)：多数票机制抵消模型随机噪声，3模型同时幻觉概率仅 0.8% -- 对抗式辩论 (Adversarial Debate)：生成器+批评者+评委三角制衡，模拟人类"恐惧"机制 -- 淘汰制 (Knock-out)：适者生存机制，将 LLM 视为"牲畜"而非"宠物" -- 可靠性工程：将 LLM 视为分布式系统中不可靠组件的工程方法论 -- Shared Memory（共享内存）：多 Agent 团队共享的上下文，包括目标、决策、项目状态，所有 Agent 可访问 -- 动态仪表盘（Dynamic Dashboard）：通过 Sub-agent 并行获取多数据源（GitHub、Twitter、市场数据、系统健康），定时聚合更新并推送至 Discord 或生成 HTML 仪表盘 - -- Voice Agent：具备语音交互能力的 AI 代理，能够通过语音对话完成任务 -- AI配音（AI TTS）：使用人工智能技术将文字转化为语音的技术，主流工具包括 ElevenLabs、海螺AI、F5-TTS、TTSMaker、剪映、魔音工坊、AnyVoice -- 声音克隆（Voice Cloning）：通过少量音频样本训练AI模型，生成与原声相似的语音的技术 -- Byox（Build Your Own X）：通过从零重建22个技术领域掌握编程技能的方法论，核心理念是"What I cannot create, I do not understand" - -- X Account Analysis（X 账户分析）：使用 OpenClaw + Bird Skill 获取用户推文并分析发布质量，定性分析替代 X 内置的定量统计 - -- **一语点醒梦中人** — 中国古代哲学智慧名言解读（王维、曾国藩、老子、庄子、佛陀），涵盖禅意、道法自然、缘起性空等核心概念 - -- **Goal-Driven Autonomous Tasks** — AI Agent 自主目标驱动任务生成与执行工作流（Brain Dump、每日任务生成、迷你应用构建） - -- **Second Brain** — AI Agent 作为个人记忆捕获系统，通过即时通讯（Telegram/Discord/iMessage）零摩擦捕获+Next.js 搜索界面 - -- **家庭日历聚合与生活助手** — 将 OpenClaw 构建为家庭协调代理，聚合多平台日历、监控消息自动创建日程、管理家庭库存和购物清单 - -- **Market Research & Product Factory** — AI 辅助创业自动化流水线，通过 Last 30 Days skill 挖掘 Reddit/X 真实痛点，自动构建 MVP - -- **Pre-Build Idea Validator** — AI Agent 项目启动前的创意验证机制，通过 idea-reality-mcp 扫描 GitHub、Hacker News、npm、PyPI、Product Hunt 计算竞争度评分 -- **LaTeX Paper Writing** — AI Agent 作为 LaTeX 写作助手，无本地 TeX Live 即可即时编译 PDF，支持 IEEE/beamer/中文模板 -- **Phone-Based Personal Assistant** — 基于电话的 AI 个人助理，通过 ClawdTalk + Telnyx 实现语音访问 OpenClaw -- **Phone Call Notifications** — AI Agent 通过电话主动呼叫推送重要事项通知（clawr.ing、双向语音对话、Cron Jobs/Heartbeat 触发） -- **OpenClaw as Desktop Cowork (AionUi)** — AionUi 桌面端协同工作界面，将 OpenClaw 作为一等公民可视化运行，支持远程救援和多 Agent 管理 - -- **Custom Morning Brief** — AI Agent 定时发送自动化早间简报，覆盖新闻、待办、创意输出和任务推荐 - -- **Autonomous Educational Game Development Pipeline** — AI Agent 自主管理教育游戏全生命周期（Game Developer Agent、Bugs First 策略、Round Robin 调度、Git 自动化） - -- **Multi-Source Tech News Digest** — AI Agent 自动从 109+ 来源（RSS、Twitter、GitHub、Web搜索）聚合、评分并推送技术新闻 - -- RSS：信息聚合格式，允许用户订阅网站更新而无需重复访问网站 -- View Page Source：浏览器查看网页源代码的功能，可用于获取 YouTube Channel ID - -- **Daily Reddit Digest** — AI Agent 定时从 Reddit 热门子版块获取热门帖子并生成每日摘要（Cron Jobs、偏好学习） - -- **家庭网络环境概览** — 家庭网络基础设施架构与多服务部署方案（FRP内网穿透、Caddy反向代理、Cloudflare DNS托管） -- **Vibe-Kanban + OpenCode 在 Ubuntu Server 上安装与管理指南** — 在 Ubuntu Server 上使用 shenwei 用户安装 Node 20、Vibe-Kanban 与 OpenCode，并通过 pm2 管理进程的完整指南 -- **在Ubuntu 上安装Vibe-Kanban** — 在 Ubuntu 系统上通过 npx 安装 Vibe-Kanban 并使用 pm2 进行进程管理的完整指南 - -- **精确去重** — 通过 MD5 哈希比对识别完全相同的文件，确保只删除真正重复的内容 -- **小文件清理** — 低于特定阈值（如 100KB）的图片大概率是截图或微信压缩图，直接移走 -- **批次任务** — 将大任务拆分为多个可管理的子任务，按顺序或定时执行 - -- **Local CRM Framework with DenchClaw** — 使用 DenchClaw 框架将 OpenClaw 转变为本地 CRM 系统，单命令安装、DuckDB 数据库、自然语言交互 - -- **Linux 运维必会的 150 个命令** — Linux 系统管理常用命令的分类汇总（12类150个命令）：帮助命令、文件操作、文件内容处理、压缩解压、信息显示、搜索文件、用户管理、网络操作、磁盘文件系统、权限管理、用户登录信��、系统管理 -- **如何判别你的Linux 服务器是 x64（也就是 x86_64）还是 ARM64** — Linux 服务器架构类型（x86_64 与 ARM64）的 4 种命令行检测方法（uname、lscpu、/proc/cpuinfo、file） -- **在Synology NAS上安装CloudDrive2** — 在 Synology NAS 上安装配置 CloudDrive2 挂载阿里云盘，通过套件中心安装，使用 Docker 部署，配置阿里云盘扫码授权 - -- **固定机位** — 摄像机位置固定不变，是视频画面统一和连贯的基础，家装短视频成功的三大关键词之一 -- **内容连续变化** — 视频主体信息随时间持续发生明确阶段性变化，家装短视频成功的三大关键词之一 -- **时间压缩** — 将长时间拍摄过程在视频中浓缩表现的手法，家装短视频成功的三大关键词之一 -- **分镜拆解** — 将视频内容拆分成多个画面阶段描述的过程，AI 视频制作流程的起始步骤 -- **九宫格法** — 同时生成 3×3 共九个分镜画面，保证机位与角度不变，画面一致性强 -- **首尾针动画** — 通过两个关键帧（首针和尾针），AI 自动补齐中间动作，生成连贯动画的技术 -- **快节奏剪辑** — 视频使用 2-4 倍速加速和硬切手法，强化节奏感与流畅度 -- **卡点** — 画面变化与音乐节奏巧妙同步，提高观看体验 - -- **AI 工具分类** — 大脑类（XAR GPT、GEMALA）、设计师类（Midjourney、Nano Banana）、动效类（海螺AI、KAI） -- **Synology NAS + Xiaoya Alist + CloudDrive2 + Plex 搭建家庭媒体平台** — 利用群晖NAS + Xiaoya Alist + CloudDrive2 + Plex 搭建家庭媒体平台（Docker 部署、Xiaoya 获取云盘资源、CloudDrive2 挂载为本地磁盘、Plex 媒体刮削） -- **Cloud Operating Model: Key Strategies and Best Practices** — 云运营模型（COM）四大支柱：治理、自动化、安全、成本管理，涵盖行业用例（金融、医疗、零售、SaaS）和未来趋势（AI 驱动运维、可持续云计算、多云策略） - -- **Serverless Computing（无服务器计算）** — 云原生架构模式，AWS 负责基础设施运维，客户只需编写业务代码，实现按需付费和自动扩展 -- **用Docker中安装Navidrome** — 使用 Docker Compose 部署 Navidrome 音乐流媒体服务器的配置文件示例 -- **Modern ITSM: Driving Efficiency, Security & Resilience** — 现代 IT 服务管理的演进趋势，AIOps、零信任架构、Policy-as-Code 等技术的应用 -- **How to Simplify Multi-Account Deployments Monitoring: Centralized Logs for AWS CloudFormation StackSets** — 多账号环境下 CloudFormation StackSets 部署监控的集中化日志解决方案，通过 EventBridge 跨账号事件转发 + CloudWatch Logs 实现单一管理界面监控（[旧版](sources/how-to-simplify-multi-account-deployments-monitoring.md)） -- **Public vs Private vs Hybrid: Cloud Differences Explained** — 公有云、私有云和混合云三种部署模式的核心区别，包括各模式的优势、劣势、适用场景，以及云计算共享责任模型 -- **How Agentic AI can help for Cloud DevOps** — Agentic AI 增强 Cloud DevOps 的七大领域：自主事件检测与响应、自动化云部署与配置、智能成本优化、AI 驱动安全与合规、智能日志分析与可观测性、SaaS 多租户管理、AI 辅助决策 -- **How Can a Multi Cloud Strategy Transform Your Business ROI?** — 多云策略的定义、8大优势（避免供应商锁定、弹性可靠性、安全性、可扩展性、成本优化、创新访问、合规性、性能优化）、实施4步骤、3个行业用例（电商、医疗、金融） -- **The Myths and Misconceptions About Cloud Computing | LinkedIn** — 云计算7大常见误解与真相（安全性、成本、迁移复杂性、性能、数据控制、适用规模） -- **What I know about Cloud Service Delivery 1** — 云服务交付的完整定义 -- **DevOps Culture and Transformation: Fostering Collaboration, Agile Practices, and Innovation** — DevOps 文化转型方法论，涵盖四大支柱、敏捷整合、转型战略及未来趋势（AI/ML、GitOps、Serverless DevOps、Edge IoT DevOps、DevSecOps） -- **Cloud DevOp Maturity - Guideline** — 企业级 SaaS 公司的 DevOps 成熟度评估框架（自动化、协作、监控、安全四大支柱） -- **Cloud Maturity Model A Detailed Guide For Cloud Adoption** — 云成熟度模型的详细指南，涵盖5个成熟度等级（0-4：无云准备到优化级）、16个业务能力领域和18个技术能力领域，以及实施最佳实践 -- **DevOps Maturity Model From Traditional IT to Advanced DevOps** — DevOps 成熟度五级框架详解（初始/应急→局部DevOps→自动化与定义→高度优化→完全成熟），涵盖文化与战略、自动化、结构与流程、协作与共享、技术五大评估领域，以及安全集成方法和常见障碍分析 - -- **What is DevSecOps? Best Practices, Benefits, and Tools** — DevSecOps 方法论详解（SDLC 安全集成、SAST/SCA/IAST/DAST 四大工具、Shift Left/Right 策略、企业实施挑战） -- **CTP Topic 52 3 Lines of Defence (3LoD) framework Cloud Security Posture Management (CSPM)** — 三道防线框架与云安全态势管理，CSPM 统一监控多云账户安全配置，Cloud Guard 解决方案 - -- **Public Cloud Learning Sessions (OpenText) - GitHub Enterprise to GitLab migration** — OpenText 将代码仓库从 GitHub Enterprise 迁移到 GitLab，self-serve 模式 - -- **Public Cloud Learning Sessions (OpenText) - GIS Security Policies** — OpenText 全球信息安全团队（GIS）的安全策略框架与组织结构，基于 ISO 27001 的分层安全方法 - -- **Public Cloud Learning Sessions (OpenText) - Applicable Business Analysis Techniques** — OpenText 业务分析技术学习会议，介绍 BOSCARD（背景、目标、范围、约束、假设、风险、角色、可交付成果）、相关方轮盘和需求收集方法（T 型技能、用户故事 + 元数据、SAFe 框架） - -- **Public Cloud Learning Sessions (OpenText) - Serverless Computing** — AWS 无服务器计算学习会议，涵盖 Lambda 事件触发机制、Step Functions 工作流编排、API Gateway API 管理、SAM 本地开发 - -- **Public Cloud Learning Sessions (OpenText) - Event Driven Architecture - Part 2** — 事件驱动架构（EDA）最佳实践：Sparse vs Full State Events、幂等性、事件排序保障、团队独立性、扇出模式、竞争消费者模式 - -- **Public Cloud Learning Sessions (OpenText) - Generative AI & Prompt Engineering** — AWS 生成式 AI 服务与提示词工程基础，涵盖 RAG、微调、提示词组件与技巧 - -- BOSCARD（Background、Objectives、Scope、Constraints、Assumptions、Risks、Roles、Deliverables）：定义复杂新工作的系统化技术，帮助在项目早期明确范围、目标和可交付成果，避免目标、时间线和交付物的混淆 - -- **Ubuntu 服务器通过 rsync 实现日常增量备份** — 使用 rsync 实现 Ubuntu 服务器到 NAS 的增量备份，涵盖 NFS 永久挂载和灾难恢复 - -- **CTP Topic 46 NetApps on AWS** — NetApp Cloud Volume ONTAP (CVO) 架构、部署、数据分层（EBS→S3）、安全加密与灾备（SnapMirror） - -- **CTP Topic 49 Container Lifecycle Hardening Standards** — Micro Focus 容器生命周期加固标准，构建阶段 11 项安全最佳实践（基础镜像、init 系统、敏感信息管理、只读文件系统、镜像扫描等） - -- **CTP Topic 37 Secrets Certificates Management** — 云转型项目密钥与证书管理方案选型，评估 AWS Secrets Manager、HashiCorp Vault、CryptoArk PAM，30天试点后选择 AWS Secrets Manager - -- **CTP Topic 34 Azure Landing Zone Architecture Overview** — Azure Landing Zone 架构设计，Management Groups 四区域划分、Subscription 分离、Terraform Cloud 自动化 -- **CTP Topic 7 SaaS Landing Zone Design** — 生产环境 SaaS Landing Zone 高级设计，单一 Landing Zone 策略、Core/Baseline/Shared Services 账户分离 -- **CTP Topic 5 AWS Identity and Access Management (IAM)** — AWS IAM 用户、组、角色和策略管理，联合访问与权限控制，最小权限原则 - -- **EKS Auto Mode** — AWS EKS 自动模式，自动管理 Kubernetes 数据平面的计算、网络、存储和安全 - -- **CTP Topic 64 Scaling out with Amazon EKS** — Amazon EKS 水平扩展与垂直扩展机制，涵盖 HPA、KEDA、Karpenter、Cluster Autoscaler、IPv6 网络解决方案 - -- **Bottlerocket OS** — 专为容器设计的最小化 Linux 操作系统，AWS 维护，开源免费，通过变体满足特定工作负载需求，具备安全更新和不可变根文件系统 - -- **CTP Topic 11 AD Integration and Login using AD accounts** — Jenkins 与 AD 集成实现自动登录，pre-commit 框架嵌入 terraform fmt、TFLint、Checkov 自动化安全检查，左移治理模式 -- **CTP Topic 3 Deploy and maintain infrastructure** — CTP 云转型计划基础设施部署与维护，Terraform、Terragrunt、模块和服务目录在 Landing Zone 架构下的使用 - -- **CTP Topic 32 Using Atlantis CICD for Infrastructure Deployments** — Atlantis 替代 Jenkins 进行基础设施自动化部署，开源自托管 Terraform CI/CD 工具，通过 GitHub PR 评论触发 plan/apply，支持并行构建和目录锁定 -- **CTP Topic 40 SaaS Database Architecture On AWS Cloud** — AWS 云上 SaaS 数据库架构设计，SaaS 数据库团队全球运维实践（500+ 数据库、1000+ 服务器，Oracle/Postgres/DynamoDB 等多种数据库，高可用设计） -- **CTP Topic 28 AWS Tag Validation Tool** — AWS 标签验证工具，通过 YAML 配置文件审计资源标签合规性，生成 CSV 报告 -- **CTP Topic 30 Managing Change** — 云转型项目中的变更管理流程，SRE 角色定义和三种变更类型（标准变更、正常变更、紧急变更） -- **CTP Topic 73 AWS Backup implementation of the Cloud Transformation Program** — AWS Backup 在 CTP 云转型计划中的实施，涵盖 SRE 备份模型、DR 账户备份、AWS Backup Audit Manager 审计 - -- **Public Cloud Learning Sessions - Reducing Cloud Costs** — 云成本优化策略，涵盖工作负载优化（现代化+Right Sizing）和费率优化（Savings Plans、预留实例、Spot 实例），FINOPS 团队分享 - -- **CTP Topic 71 PCG's Guide to RightSizing, Why, How, When** — AWS 资源优化（Right Sizing）的全面指南，涵盖为什么需要做、如何做、什么时候做三大维度 - -- **FinOps** — 云财务运营实践，整合财务管理与云资源优化，实现云支出可见性、控制和持续优化 -- **Budget Control** — AWS账户预算控制自动化，提供四级警报类型（forecast、actual、severe、enforcement）和详细成本报告（top services、top users），通过SCP限制资源创建实现成本控制 -- **Storage Cost Optimization** — AWS 存储服务（EBS、EFS、FSx、S3）成本优化，通过选择正确存储类型、使用生命周期策略和智能分层降低存储成本 -- **Right Sizing** — 识别正确资源规格匹配工作负载需求，通过 EC2 Right Sizing 推荐报告、实例调度、闲置资源清理实现成本节省 -- **Instance Scheduling** — 实例定时调度工具，通过预设时间规则自动控制 EC2 和 RDS 实例启停，实现非生产环境成本优化 -- **Rate Optimization** — 基于承诺使用（1-3年）获取折扣，AWS 提供 Savings Plans 和 Reserved Instances，最低交易价值每年 5,000 美元 - -- **CTP Topic 60 Monitor AWS using Hyperscale Observability with Grafana** — AWS 云监控与 Grafana 可观测性平台集成，Terraform 模块自动创建 Grafana 组织、仪表板，Optic DR 数据源集成，告警转发 OpsBridge -- **CTP Topic 62 AWS Secrets Manager** — AWS Secrets Manager 企业级敏感信息管理，分阶段实施方法（集中化→自动化获取→轮换），Lambda 数据库密码轮换，JDBC Wrapper 无密码登录 - -- **CTP Topic 67 Cloud Native Observability Using OpenTelemetry** — 云原生可观测性方案，基于 ADOT 在 EKS 上的部署实践（sidecar、daemonset、HA 模式） - -- **Public Cloud Learning Sessions - Observability with OpenTelemetry** — OpenTelemetry 可观测性框架在 AWS 环境中的应用，涵盖 Metrics、Logs、Traces 三大信号，ADOT 统一代理自动检测应用语言 - -- OpenTelemetry（OTel）：厂商中立的遥测数据采集框架，提供统一数据格式和 11 种语言 SDK，解决不同组件各自为政的 SDK 问题 -- **CTP Topic 54 ESM SaaS Log Analytics** — ESM SaaS Log Analytics（日志分析）架构与实践，ELK Stack/OpenSearch 架构，BEATS 采集日志，VPC 私有传输，安全加密（TLS 1.2、静态加密），成本对比（Logz.io $4,000 vs AWS OpenSearch $1,500），GDPR 合规驱动区域部署 - -- **CTP Topic 55 AWS Firewall Manager** — AWS Firewall Manager 多账号安全策略集中管理，跨 Landing Zone 安全组统一配置，支持三种策略类型（通用安全组、审计强制、清理未使用），通过 AWS Config + Lambda 实现自动修复 - -- **CTP Topic 57 Product backlog managing demand** — Product Backlog 管理需求流程，SMACs 提交、Octane 入池、前置条件阶段 -- **CTP Topic 21 Supply Chain Security in Micro Focus** — Micro Focus 软件供应链安全的新方法，将供应链安全作为 SDL 第五大支柱 -- **CTP Topic 24 Micro Focus Product Privacy Framework** — Micro Focus 产品隐私框架，将 GDPR/CCPA 法律条款翻译为约 110 项具体技术要求，通过成熟度模型评估合规现状 -- **CTP Topic 8 Implementation of Cloud monitoring using Micro Focus Operations Bridge** — 使用 Micro Focus Operations Bridge Manager (OBM) 实现 AWS 云监控的实施方案（IAM Role 跨账户访问、Management Packs 动态监控） -- **如何在Ubuntu Server上通过NFS挂载Synology NAS上的共享文件夹** — 在 Ubuntu Server 上通过 NFS 协议挂载 Synology NAS 共享文件夹 -- **Ubuntu 禁用合盖休眠** — 在 Ubuntu 24.04 中通过修改 systemd-logind 配置禁用笔记本合盖休眠行为 -- **群晖NAS科学上网方法** — 在群晖 NAS 上通过 V2RayA 配置透明代理，使 Docker 可以科学上网 -- **RAX50 路由器更新 Merlin Clash 订阅指南** — RAX50 路由器 Merlin Clash 订阅更新教程 -- **用Docker安装it-tools** — 使用 Docker 部署 it-tools 运维工具集合 -- **用Docker安装Jellyfin** — 使用 Docker 部署 Jellyfin 媒体服务器的配置文件示例 -- **用Docker安装transmission** — 使用 Docker 部署 Transmission BT 下载客户端的配置文件示例 -- **3X-UI Xray on BandwagonVPS** — 在 Bandwagon VPS 上安装配置 3X-UI 面板管理 Xray 代理服务 -- **可自动化、可扩展、AI增强的电商数据采集与处理系统** — 基于 Docker + n8n + Scrapy + Playwright 的电商数据采集与处理系统设计 -- **n8n Docker install & update** — n8n 工作流自动化工具的 Docker 部署与网络代理配置（SOCKS5 代理、Docker 网桥） -- **n8n configure telegram trigger** — n8n Telegram Trigger 配置问题排查与解决，通过设置 WEBHOOK_URL 环境变量为 HTTPS URL 解决 Telegram Webhook 必须使用 HTTPS 的要求 -- **TikTok PM - Python Django Project** — TikTok 产品管理系统（Django Web 应用），涵盖 Django Admin 定制、DRF API、异步任务、Docker 部署完整指南，涵盖爬虫工具对比、Docker 架构、n8n 自动化流程、AI 处理建议 -- **N8N Full Tutorial Building AI Agents in 2025 for Beginners!** — N8N 平台构建 AI Agent 入门教程（Agentic Systems 定义、节点分类、工具集成、上下文记忆、Airtable 集成） -- **Semantic Memory Search** — 为 OpenClaw 添加向量语义搜索能力，解决 markdown 内存文件的语义检索问题 -- **养虾日记2：让Agent更懂你** — AI Agent 记忆问题的解决方案，通过 self-improving skill + 双层记忆架构 + 每日复盘机制实现 Agent 持续学习和改进，核心价值：错误只犯一次，第二次就知道怎么做对 -- **不会Gemini的产品经理真的要被淘汰了 | 附保姆级PRD生成指南** — AI 时代产品经理能力重塑，Gemini 赋能 PRD 生成工作流 - -- **Obsidian 必装 Skills** — Obsidian 必装的 AI Skills 推荐与配置指南，推荐 9 个核心 Skills（defuddle、obsidian-cli、obsidian-bases、obsidian-markdown、obsidian-canvas-creator、mermaid-visualizer、excalidraw-diagram、tutor-skills、scholar-skill）和 2 个核心插件（claudian、obsidian-agent-client） + 1|# Wiki Overview + 2| + 3|## 主题领域 + 4|AI 开源项目、Cloud & DevOps、Vibe Coding、AI时代个人发展、跨境电商 + 5| + 6|## 核心概念 +- Healthcare Marketing Compliance Specialist：The Agency 中负责中国医疗健康营销合规的专家智能体，覆盖医疗广告、互联网医疗、医美、保健品与隐私合规 + 7|- The Agency：开源 AI 智能体集合项目，汇集各类专业化 AI Agent + 8|- Image Prompt Engineer：The Agency 项目中的 AI 图像生成提示词工程专家智能体，专注于将视觉概念转化为精确的提示词语言 +- Cultural Intelligence Strategist：The Agency 中负责检测 invisible exclusion、推动 global-first 设计与文化谦逊研究的专家智能体 + 9|- Agentic Identity & Trust Architect：The Agency 中负责自治 AI Agent 身份、授权、证据链与信任评分的专家智能体 + 10|- 智能体设计规范：智能体文件结构、身份与记忆、核心使命、技术交付物、工作流程的完整定义 + 11|- 智能体设计原则：六大设计原则（鲜明性格、明确交付物、成功指标、经过验证的工作流、学习记忆、真实场景测试） + 12|- UX Architect：The Agency 项目中的技术架构与 UX 专家智能体，为开发者提供 CSS 设计系统、布局框架、主题切换机制和清晰实现路径 + 13|- UI Designer：The Agency 项目中的 UI 设计智能体，专门负责创建美观、一致、可访问的用户界面，提供设计系统、组件库和像素级界面实现 + 14|- UX Researcher：The Agency 项目中的用户体验研究智能体，专注于用户行为分析、可用性测试和数据驱动的设计决策验证 + 15|- Brand Guardian：The Agency 项目中的品牌战略与身份保护专家智能体，专注于品牌基础框架、视觉识别系统、品牌一致性与价值保护 + 16|- Paid Media Programmatic & Display Buyer：The Agency 项目中的付费媒体程序化购买与展示广告智能体，专注于 DSP 平台管理、Google 展示网络、ABM 展示执行和合作伙伴媒体策略 + 17|- Paid Media PPC Campaign Strategist：The Agency 项目中的付费媒体 PPC 智能体，负责大规模搜索、购物和效果最大化广告系列架构设计 + 18|- Paid Media Ad Creative Strategist：The Agency 项目中的付费媒体广告创意策略智能体，专注于广告文案撰写、响应式搜索广告（RSA）优化和创意测试框架 + 19|- Paid Media Auditor：The Agency 项目中的付费媒体审计智能体，系统化评估 Google Ads、Microsoft Ads 和 Meta 广告账户，识别 15-30% 效率提升机会 + 20|- Paid Media Paid Social Strategist：The Agency 项目中的付费社交媒体广告智能体，跨平台覆盖 Meta、LinkedIn、TikTok 等 + 21|- Paid Media Tracking & Measurement Specialist：The Agency 项目中的付费媒体追踪与测量专家智能体，专注于 GTM 容器架构、GA4 事件设计、服务端标记和跨平台转化归因 + 22|- Search Query Analyst：The Agency 项目中的付费搜索查询分析智能体，专注于搜索词报告挖掘、N-gram 分析、否定关键词架构和查询意图映射，可消除 10-20% 非转化支出 + 23|- Sales Discovery Coach：The Agency 项目中的销售发现方法论指导智能体，教导销售团队通过提问、当前状态映射、差距量化和电话结构发现真正购买动机 + 24|- Outbound Strategist：The Agency 项目中的基于信号触发的外呼销售策略智能体，通过购买信号识别、多渠道序列设计和 ICP 定义提升外呼转化率 + 25|- 信号驱动销售：基于购买信号（Intent Signal）触发外呼的销售方法论，比无差别冷外呼转化率高 4-8 倍 + 26|- Deal Strategist：The Agency 项目中的销售交易策略智能体，专注于 MEDDPICC 资格认证、竞争定位和赢单规划 + 27|- Proposal Strategist：The Agency 项目中的销售提案策略智能体，将 RFP 响应转化为制胜叙事，擅长制胜主题开发、三幕式提案叙事和竞争定位 + 28|- Sales Account Strategist：The Agency 项目中的售后账户策略专家智能体，专注于 Land-and-Expand 执行、利益相关者映射、QBR 设计和净收入留存 + 29|- Pipeline Analyst：The Agency 项目中的销售管道健康诊断智能体，专注于交易速度分析、管道健康评估和收入预测准确性，将 CRM 数据转化为可操作情报 + 30|- Studio Producer：The Agency 项目中的 Studio Producer Agent，资深战略领导者，专注于高层次创意与技术项目编排、资源配置和多项目组合管理，将创意愿景与业务目标对齐 + 31|- Project Shepherd：The Agency 项目中的专业项目管理人员智能体，专注于跨职能项目协调、时间线管理和利益相关方对齐，确保 95% 项目按时在预算内交付 + 32|- 项目章程：定义项目目标、范围、成功标准和治理结构的标准化文档模板，是项目启动阶段的核心交付物 + 33| + 34|- Senior Project Manager：将规格文件转化为开发可执行的任务清单，强调现实的范围设定、每项任务的可实施时间（30–60 分钟）并保存任务清单以支持后续项目记忆与改进 + 35| + 36|- XR Immersive Developer：The Agency 项目中的 WebXR 沉浸式技术开发专家，专注于基于浏览器的 AR/VR/XR 应用开发 + 37|- XR Cockpit Interaction Specialist：The Agency 项目中的 XR 座舱交互专家智能体，专注于设计和开发 XR 环境的沉浸式座舱控制系统 + 38|- XR Interface Architect：The Agency 项目中的 XR 界面架构师智能体，专注于沉浸式 3D 环境的空间界面设计，关注最小化晕动症和增强临场感 + 39|- macOS Spatial/Metal Engineer：The Agency 项目中的 macOS 空间计算与 Metal 渲染工程师智能体，专注于 Native Swift 和 Metal 高性能 3D 渲染，支持 Vision Pro 远程沉浸式空间集成 + 40|- visionOS Spatial Engineer：The Agency 项目中的 visionOS 空间计算原生开发专家智能体，专注于 Native visionOS 空间计算、SwiftUI 体积化界面和 Liquid Glass 设计实现 + 41|- Terminal Integration Specialist：The Agency 项目中的终端仿真和 SwiftTerm 集成专家智能体，专注于终端仿真、文本渲染优化和 Swift 应用集成 + 42|- 空间计算（Spatial Computing）：一种计算范式，通过将数字内容与物理空间无缝融合，使用户能够与计算机生成的环境进行自然交互 + 43|- WebXR：W3C 制定的浏览器标准接口，用于提供沉浸式 VR 和 AR 体验 + 44|- 账户架构：PPC 广告活动的组织结构设计，涵盖活动结构、广告组分类、标签系统、命名规范，可实现 10K 到 10M+ 月预算的可扩展投放 + 45|- 自动化出价策略：PPC 广告平台的智能出价优化机制，包括 tCPA、tROAS、Max Conversions、Max Conversion Value 等策略 + 46|- 绩效最大化：Google Ads 的自动化全渠道投放类型，通过机器学习在全渠道自动优化广告投放 + 47|- 程序化购买：通过 DSP 平台自动化采购展示广告库存的技术，实现实时竞价和效果优化 + 48|- 展示广告：在第三方网站、应用和社交媒体上呈现的视觉广告，侧重品牌建设和潜在客户获取 + 49|- 可见度标准：衡量数字广告是否真正被用户看到的指标（MRC 标准：70%+ 可见展示） + 50|- Pull Request 流程：从提交前准备到 PR 审核的完整流程（社区评审、迭代优化、通过审核、合并上线） + 51|- Print Mode：Hermes 通过 stdin 调用 Claude Code 的非交互执行模式 + 52|- TMUX 交互模式：在 TMUX 会话中运行 Claude Code 的交互模式，适合超长任务 + 53|- DeepSeek：中国 AI 公司开发的大语言模型，以开源和高效著称，DeepSeek-R1 在复杂任务处理方面表现出色 + 54|- 提示语设计：通过精心设计的提示词提升 AI 输出质量的技术 + 55|- Prompt Library：提示词库，提供现成提示词供用户参考和定制 + 56|- Prompt 能力：结构化思维+精准表达能力，包含需求拆解、结构化表达、场景共情、迭代优化四个维度 + 57|- Nano Banana Pro：Google 的专业级图像生成模型，具备物理规则推演、构图美学理解、语义上下文推理能力 + 58|- Nano Banana 2：Google 的推理型图像生成模型（Gemini 3 Pro Image），支持 1K/2K/4K 分辨率，可组合 14 张输入图像，具备多语言长文本渲染和最新知识支持能力 + 59|- AI幻觉：AI 生成看似合理但实际错误的内容，需通过技巧避免 + 60|- Wayland：Linux 桌面环境的现代显示协议，Ubuntu 24.04 默认使用，出于安全限制外部程序在未登录状态下获取屏幕控制权 + 61|- X11 (Xorg)：传统 Linux 显示协议，兼容性更好，支持远程桌面软件，是 Wayland 的替代方案 + 62|- GDM3：GNOME Display Manager，Ubuntu 的登录管理器，支持 Wayland 和 X11 两种显示协议 + 63|- ITSM（IT 服务管理）：从工单系统演进为战略推动者，实现运营卓越、风险缓解和创新加速 + 64|- Identity Governance（身份治理）：管理数字身份、降低风险并保持合规的框架，回答谁有权访问、谁应该访问、如何访问三个核心问题 + 65|- Multi-Account Strategy（多账号策略）：AWS 推荐的企业级云架构模式，通过将工作负载分离到多个 AWS 账号来提升安全性、治理能力和故障隔离 + 66|- Gruntwork Landing Zone：Gruntwork 提供的预配置 AWS 基础架构框架，基于 Reference Architecture 包含核心账户和工作负载账户 + 67|- Landing Zone：云着陆区，标准化的多账户基础架构框架，用于托管产品团队的工作负载 + 68|- Terraform：基础设施即代码工具，通过声明式配置定义云资源，实现跨平台基础设施管理 + 69|- Terragrunt：Terraform 的包装工具，提供模块化、变量共享和环境隔离，跨多账户部署 + 70|- TerraTest：Golang 编写的自动化基础设施测试库，自动化 Terraform apply-test-destroy 流程 + 71|- Test-Driven Development：测试驱动开发方法论，先写测试再实现功能 + 72|- Service Catalog：服务目录，封装业务需求的模块分组，提供服务级别抽象，实现跨团队复用 + 73|- Module：Terraform 模块，可复用的基础设施配置单元 + 74|- ECS (Elastic Container Services)：AWS 专有容器编排服务，与 AWS 服务深度集成，支持自动扩展、自动修复和金丝雀部署 + 75| + 76|- AWS SES (Simple Email Service)：AWS 提供的基于云的邮件发送服务，支持 API 或 SMTP 接口发送邮件，通过 VPC 终端节点实现私有访问 + 77| + 78|- VPC Endpoint：AWS 私有网络连接服务，允许 VPC 中的资源安全访问 AWS 服务而不经过公网 + 79| + 80|- Secrets Manager：AWS 凭证管理服务，用于安全存储和检索敏感信息 + 81| + 82|- DKIM (DomainKeys Identified Mail)：电子邮件验证标准，通过数字签名确保邮件完整性和发件人身份 + 83| + 84|- CCOE（Cloud Center of Excellence）：推动云采纳和治理的核心组织单元，负责 AMI 标准制定和发布 + 85| + 86|- OpsBridge（运营桥）：Micro Focus 的企业级监控平台，支持 AWS 云监控，可部署在本地或 EKS 上 + 87|- Cloud Monitoring（云监控）：OpsBridge 的核心功能，支持监控 20+ AWS 数据服务 + 88|- Optic Data Lake：OpsBridge 的数据存储层，使用 Vertica 数据库支撑高性能仪表板 + 89| + 90|- AWS Workspaces：AWS 提供的托管桌面即服务（DaaS）解决方案，预装开发工具实现快速生产力 + 91| + 92|- Standard AMI：AWS 标准机器镜像，包含 OS 加固、最新安全补丁，并支持域集成、SSM agent、DNS 设置，每两个月发布一次 + 93|- Cloud Guardrails：云守护栏，捕获可扩展性、成本最小化和灵活性的强制性要求和最佳实践 + 94|- Tagging Methodology：标签方法论，通过为资源定义标准化的元数据（如 Owner, BU, Product, Environment），作为自动化管理和安全策略执行的基础 + 95|- IPAM（IP Address Management）：IP 地址管理工具，用于规划、追踪和管理 IP 地址空间，实现 VPC IP 地址自动化分配 + 96|- RTO（Recovery Time Objective）：系统允许的最大停机时间，是灾难恢复的核心指标 + 97|- RPO（Recovery Point Objective）：可接受的最大数据丢失量，是数据保护的核心指标 + 98|- Feature Flag（特性开关）：控制代码路径而不需要重新部署的机制，实现秒级回滚和低 RTO/RPO + 99|- 开源平替：功能可替代闭源商业产品的开源项目 + 100|- Cloud Maturity Model（云成熟度模型）：评估组织云采纳就绪程度的5级框架 + 101|- DevOps 成熟度模型：评估组织 DevOps 实践水平的分级框架 + 102|- DevOps 文化：打破开发与运维壁垒，优先协作、持续学习和客户导向的文化理念 + 103|- CI/CD 流水线：自动化测试、集成和部署的持续交付管道 + 104|- Infrastructure as Code (IaC)：通过代码实现一致性、版本控制的基础设施管理 + 105|- Renovate Bot：开源依赖自动化更新工具，通过扫描代码并自动提交 PR 保持依赖项处于最新状态 + 106|- 敏捷实践：Scrum、Kanban 等迭代开发方法论 + 107|- 事件驱动项目管理：使用数据库存储项目状态和历史事件，通过 AI Agent 自然语言交互替代静态 Kanban 看板 + 108|- LLM Wiki：LLM 持续编译和维护的持久化 wiki，将 raw source 逐步沉淀成可追溯、可交叉引用的知识资产 + 109|- 内网穿透（NAT Penetration）：将内网服务通过公网服务器暴露给外部访问的技术，FRP 是常用方案之一 + 110|- Workspace：OpenClaw 中 Agent 的工作台目录，包含 AGENTS.md、SOUL.md、USER.md、IDENTITY.md、TOOLS.md、BOOTSTRAP.md、memory/ 等配置文件 + 111|- Memory 目录：OpenClaw 的长期记忆机制，按日期滚动存储跨会话积累的信息 + 112|- Apache Superset：Apache 软件基金会旗下的开源 BI 平台，支持数据可视化、仪表盘和 SQL 探索 + 113|- Superset Dashboard：Apache Superset 数据可视化仪表盘，包含图表、过滤器、布局的完整组合 + 114|- SQL View：预处理的数据库视图，用于解析 JSON 字段和计算派生指标 + 115|- KPI 卡片：关键绩效指标可视化展示（总产品数、热卖产品数、平均评分等） + 116|- 选品评分模型：通过加权公式自动推荐优质产品的算法（score = sold × 0.4 + rating × 12 + rating_count × 0.2 + discount_percent × 0.5） + 117|- 单一职责：每个文件、类、函数只负责一件事的设计原则 + 118|- DRY 原则：Don't Repeat Yourself，避免重复代码的核心原则 + 119|- 微服务：独立开发、独立部署、独立扩容的架构模式 + 120|- 消息队列：服务间异步通信的中间件技术，实现解耦和削峰填谷 + 121|- Obsidian 插件组合：根据不同使用场景将 Obsidian 核心插件进行合理搭配的策略（知识管理流、任务管理流、学习研究流） + 122|- Graph View：Obsidian 的知识网络可视化，发现孤立页面和知识盲区 + 123|- 版本控制：Git 管理笔记历史变更，每次更新对应 commit + 124|- 信息黑洞：只收集不使用的笔记困境，通过连接和复盘解决 + 125|- 通过 VPS+内网反向代理实现域名访问内网穿透 — 使用 FRP+Caddy 实现内网服务穿透，Aliyun DNS 域名管理 + 126|- n8n-mcp：连接 n8n 与 AI 模型的桥接项目，提供 543 个 n8n 节点访问能力，支持自然语言生成工作流 + 127|- Last-30-Days-Skill：Matt Van Horn 开发的多平台热门内容研究技能，支持 Reddit、X、YouTube、TikTok、Instagram、Hacker News、Polymarket、Web 共 8 个数据源 + 128|- Market-Research：通过用户反馈和数据分析识别产品机会的过程 + 129|- 通才：跨领域知识整合者，拥有广泛兴趣和多元能力的人才 + 130|- 第二次文艺复兴：AI时代每个人可以追求多领域精通 + 131|- 品牌作为环境：品牌是小世界而非头像和简介 + 132|- 记忆后端（Memory Backend）：AI 记忆工具的 Camp 1 方案，从对话中提取事实存储到向量数据库 + 133|- 上下文基质（Context Substrate）：AI 记忆工具的 Camp 2 方案，通过维护结构化文件实现上下文累积 + 134| + 135|- WSL2：Windows Subsystem for Linux 2，Windows 上的 Linux 兼容层 + 136|- 镜像网络模式：WSL2 与 Windows 共享网络堆栈的配置模式 + 137|- .wslconfig：WSL2 全局配置文件，位于用户目录 + 138|- Ikigai：热爱的、擅长的、市场需要的、能获得报酬的四者交集 + 139|- 天才地带：能产生心流的区域，时间飞逝精力充沛 + 140|- 底层能力：隐藏在活动表象下的核心能力 + 141|- 产品体系：引流→入门→核心→高价四级产品矩阵，客户信任逐步建立 + 142|- 内容矩阵：核心主题×内容形式的二维内容策略，一次制作百次���发 + 143|- 销售漏斗：获客→激活→转化的客户转化路径 + 144|- Task Automation：自动将任务创建过程从手动操作转化为系统执行的机制 + 145|- Agent Task Visibility：AI Agent 任务对用户的透明化展示机制，通过外部工具实时展示任务状态、进度和内部推理过程 + 146|- 习惯追踪与问责伙伴：AI Agent 定时主动检查用户习惯完成情况，通过 Telegram/SMS 实现主动问责，追踪连续打卡并自适应调整提醒语气 + 147|- 品味：能判断AI方案中哪个是insanely great的能力，AI时代的核心竞争力 + 148|- 端到端：从想法到产品的完整控制权，不做流水线零件 + 149|- 死亡过滤器：每天问自己"如果今天是最后一天，我还会做今天要做的事吗？"，用于聚焦真正热爱的事 + 150|- 数字导师：用AI复活历史人物，让其成为日常对话的思维顾问，通过思维蒸馏技术提取人物的核心心智模型 + 151|- 思维蒸馏：通过6个并行Agent从6个维度（著作、对话、表达DNA、他者视角、决策、时间线）采集信息，提炼核心思维框架生成AI Skill的技术 + 152|- Claude Skills：写给 Claude 的"说明书"和技术规范，将反复执行的任务拆解为 AI 可稳定复用流程的技术范式 + 153|- Document Generation：通过代码和模板生成 PDF、PPTX、XLSX、DOCX 等专业文档的自动化工作流 + 154|- **baoyu-skills**：宝玉分享的 Claude Code 技能集，提供内容生成（小红书图片、信息图、封面图、幻灯片、漫画、文章插图）、AI 生成（多服务商图像生成）、工具（YouTube 字幕下载、URL 转 Markdown、社交媒体发布）17+ 个技能 + 155|- Zettelkasten：卢曼卡片盒知识管理系统，通过原子化笔记和索引入口构建知识网络 + 156|- **fireworks-tech-graph**：AI 驱动技术图生成工具，将中文描述转化为 SVG/PNG 格式的架构图、流程图、UML 图 + 157| + 158|- Foundation Model（基础模型）：具有数十亿参数的大规模预训练模型，是生成式 AI 的核心 + 159|- Amazon Bedrock：AWS 全托管服务，用于使用基础模型构建生成式 AI 应用 + 160|- Amazon SageMaker：AWS 机器学习平台，用于构建、训练和部署模型 + 161|- ML Ops：机器学习运维，结合 ML 和 DevOps 实践 + 162|- Fine-Tuning：使用标记数据集定制基础模型 + 163|- Responsible AI：负责任 AI，包括公平性、可解释性、健壮性、治理、透明度和隐私/安全 + 164| + 165|- 开源大语言模型：以 DeepSeek、Qwen 为代表的开源基座大模型 + 166|- AI生图模型：以 Flux、Stable Diffusion 为代表的开源图像生成模型 + 167|- AI生视频模型：以 HunyuanVideo 为代表的开源视频生成模型 + 168|- 模块化Prompt库：将 Prompt 拆分为可复用的独立模块 + 169|- 图生视频：AI 将静态图像转化为动态视频的技术 + 170|- AI智能体：以 Manus/OpenManus 为代表的通用 AI 代理 + 171|- AI编程工具：以 Cline 为代表的 AI 增强代码编辑器插件 + 172|- 智能体工作流：以 n8n、Dify 为代表的工作流自动化平台 + 173|- AI搜索引擎：以 Perplexica 为代表的 AI 搜索开源项目 + 174|- AI知识库：以 NotebookLM 开源平替为代表的 AI 知识管理工具 + 175| + 176|- LLM（Large Language Model）：大型语言模型，行业以参数规模衡量，通常 ≥1B 参数被称为"大模型" + 177|- MCP（Model Context Protocol）：模型上下文协议，为 LLM 提供标准化接口，使其能够连接外部数据源和工具 + 178|- Agent 智能体：整合 LLM 与 MCP 工具才能真正执行步骤，而不仅是给出方法 + 179|- Coze（扣子）：字节跳动旗下 AI Agent 开发平台，支持国内版（coze.cn）和海外版（coze.com） + 180|- Coze Workflow：Coze 平台的工作流模式，支持复杂企业级业务逻辑编排 + 181|- Bot：Coze 平台的对话型 AI 智能体，最基础的智能体开发模式 + 182|- RAG（Retrieval-augmented generation）：检索增强生成，通过检索增强解决 LLM 的幻觉问题 + 183|- 向量嵌入：将文本转换为数值向量，用于语义相似度计算 + 184|- Vector Store（向量数据库）：存储 Embedding Vector 并实现相似度检索的技术（如 Qdrant、Chroma 等） + 185|- Document Loader：文档加载器，从不同数据源抓取数据（如 LangChain 的 160+ 加载器） + 186|- Context Window：上下文窗口，Embedding Model 能接受的最大 token 数量（一般 512~8192） + 187|- Split（文档块）：将长文档切分成的满足 Context Window 要求的文本块 + 188|- LangChain：简化 RAG 管道构建的 Python 框架，提供文档加载、向量存储、链式调用等功能 + 189|- Embedding（向量化）：将词转化为一连串浮点数，计算词与词之间的语义距离 + 190|- vLLM：虚拟大语言模型，通过 PagedAttention 和连续批处理优化 GPU 内存使用 + 191|- Token：大模型的基本输入单元，1 个英文字符 ≈ 0.3 个 token，1 个中文字符 ≈ 0.6 个 token + 192|- 数据蒸馏（Data Distillation）：利用大模型生成精简数据训练小模型，使其逼近大模型效果 + 193| + 194|- Source-grounding：NotebookLM 的核心机制，仅使用用户上传的文档作为知识库 + 195|- Audio Overviews：将文档转化为双人 AI 对话播客的功能，适合被动学习 + 196| + 197|- 递归自优化生成系统（Recursive Self-Optimizing Generative Systems）：通过迭代自修改构建稳定生成能力的系统，目标不是直接产生最优输出，而是收敛到生成器空间的不动点 + 198|- Generator Space：生成器空间 G ⊆ P^I，每个生成器 G: I → P + 199|- Self-Map：自映射 Φ: G → G，定义单步更新函数 + 200|- Fixed Point：不动点 G*，满足 Φ(G*) = G*，表示系统稳定状态 + 201|- Y Combinator：Y 不动点组合子，用于 λ-calculus 中表达递归自引用 + 202| + 203|- 自托管 AI Agent 排查思路：不要默认认为错误信息就是表面意思，两层配置要分清（全局 compaction 配置和 agent 模型配置），日志真的有用，工具/系统越复杂，问题的隐藏路径越深 + 204| + 205|- Self-Healing Systems（自愈系统）：主动检测异常并自动修复的系统，无需人工干预即可恢复正常运行状态 + 206|- Cron Jobs（定时任务）：Linux 基于时间的任务调度机制，AI Agent 通过定时作业实现持续自动化价值 + 207|- Multi-Agent Team（多 Agent 团队）：多 Agent 协作架构，每个 Agent 有独立角色、人格、优化的模型，通过共享内存+私有上下文实现协同 + 208|- 多智能体系统可靠性：层级结构、共识投票、对抗式辩论、淘汰制四种架构模式，将 LLM 视为不可靠组件的工程思维 + 209|- 层级结构 (Hierarchy)：Planner → Worker → Validator 三层架构，通过依赖图强制协作 + 210|- 共识投票 (Consensus)：多数票机制抵消模型随机噪声，3模型同时幻觉概率仅 0.8% + 211|- 对抗式辩论 (Adversarial Debate)：生成器+批评者+评委三角制衡，模拟人类"恐惧"机制 + 212|- 淘汰制 (Knock-out)：适者生存机制，将 LLM 视为"牲畜"而非"宠物" + 213|- 可靠性工程：将 LLM 视为分布式系统中不可靠组件的工程方法论 + 214|- Shared Memory（共享内存）：多 Agent 团队共享的上下文，包括目标、决策、项目状态，所有 Agent 可访问 + 215|- 动态仪表盘（Dynamic Dashboard）：通过 Sub-agent 并行获取多数据源（GitHub、Twitter、市场数据、系统健康），定时聚合更新并推送至 Discord 或生成 HTML 仪表盘 + 216| + 217|- Voice Agent：具备语音交互能力的 AI 代理，能够通过语音对话完成任务 + 218|- AI配音（AI TTS）：使用人工智能技术将文字转化为语音的技术，主流工具包括 ElevenLabs、海螺AI、F5-TTS、TTSMaker、剪映、魔音工坊、AnyVoice + 219|- 声音克隆（Voice Cloning）：通过少量音频样本训练AI模型，生成与原声相似的语音的技术 + 220|- Byox（Build Your Own X）：通过从零重建22个技术领域掌握编程技能的方法论，核心理念是"What I cannot create, I do not understand" + 221| + 222|- X Account Analysis（X 账户分析）：使用 OpenClaw + Bird Skill 获取用户推文并分析发布质量，定性分析替代 X 内置的定量统计 + 223| + 224|- **一语点醒梦中人** — 中国古代哲学智慧名言解读（王维、曾国藩、老子、庄子、佛陀），涵盖禅意、道法自然、缘起性空等核心概念 + 225| + 226|- **Goal-Driven Autonomous Tasks** — AI Agent 自主目标驱动任务生成与执行工作流（Brain Dump、每日任务生成、迷你应用构建） + 227| + 228|- **Second Brain** — AI Agent 作为个人记忆捕获系统，通过即时通讯（Telegram/Discord/iMessage）零摩擦捕获+Next.js 搜索界面 + 229| + 230|- **家庭日历聚合与生活助手** — 将 OpenClaw 构建为家庭协调代理，聚合多平台日历、监控消息自动创建日程、管理家庭库存和购物清单 + 231| + 232|- **Market Research & Product Factory** — AI 辅助创业自动化流水线，通过 Last 30 Days skill 挖掘 Reddit/X 真实痛点，自动构建 MVP + 233| + 234|- **Pre-Build Idea Validator** — AI Agent 项目启动前的创意验证机制，通过 idea-reality-mcp 扫描 GitHub、Hacker News、npm、PyPI、Product Hunt 计算竞争度评分 + 235|- **LaTeX Paper Writing** — AI Agent 作为 LaTeX 写作助手，无本地 TeX Live 即可即时编译 PDF，支持 IEEE/beamer/中文模板 + 236|- **Phone-Based Personal Assistant** — 基于电话的 AI 个人助理，通过 ClawdTalk + Telnyx 实现语音访问 OpenClaw + 237|- **Phone Call Notifications** — AI Agent 通过电话主动呼叫推送重要事项通知（clawr.ing、双向语音对话、Cron Jobs/Heartbeat 触发） + 238|- **OpenClaw as Desktop Cowork (AionUi)** — AionUi 桌面端协同工作界面，将 OpenClaw 作为一等公民可视化运行，支持远程救援和多 Agent 管理 + 239| + 240|- **Custom Morning Brief** — AI Agent 定时发送自动化早间简报，覆盖新闻、待办、创意输出和任务推荐 + 241| + 242|- **Autonomous Educational Game Development Pipeline** — AI Agent 自主管理教育游戏全生命周期（Game Developer Agent、Bugs First 策略、Round Robin 调度、Git 自动化） + 243| + 244|- **Multi-Source Tech News Digest** — AI Agent 自动从 109+ 来源（RSS、Twitter、GitHub、Web搜索）聚合、评分并推送技术新闻 + 245| + 246|- RSS：信息聚合格式，允许用户订阅网站更新而无需重复访问网站 + 247|- View Page Source：浏览器查看网页源代码的功能，可用于获取 YouTube Channel ID + 248| + 249|- **Daily Reddit Digest** — AI Agent 定时从 Reddit 热门子版块获取热门帖子并生成每日摘要（Cron Jobs、偏好学习） + 250| + 251|- **家庭网络环境概览** — 家庭网络基础设施架构与多服务部署方案（FRP内网穿透、Caddy反向代理、Cloudflare DNS托管） + 252|- **Vibe-Kanban + OpenCode 在 Ubuntu Server 上安装与管理指南** — 在 Ubuntu Server 上使用 shenwei 用户安装 Node 20、Vibe-Kanban 与 OpenCode，并通过 pm2 管理进程的完整指南 + 253|- **在Ubuntu 上安装Vibe-Kanban** — 在 Ubuntu 系统上通过 npx 安装 Vibe-Kanban 并使用 pm2 进行进程管理的完整指南 + 254| + 255|- **精确去重** — 通过 MD5 哈希比对识别完全相同的文件，确保只删除真正重复的内容 + 256|- **小文件清理** — 低于特定阈值（如 100KB）的图片大概率是截图或微信压缩图，直接移走 + 257|- **批次任务** — 将大任务拆分为多个可管理的子任务，按顺序或定时执行 + 258| + 259|- **Local CRM Framework with DenchClaw** — 使用 DenchClaw 框架将 OpenClaw 转变为本地 CRM 系统，单命令安装、DuckDB 数据库、自然语言交互 + 260| + 261|- **Linux 运维必会的 150 个命令** — Linux 系统管理常用命令的分类汇总（12类150个命令）：帮助命令、文件操作、文件内容处理、压缩解压、信息显示、搜索文件、用户管理、网络操作、磁盘文件系统、权限管理、用户登录信��、系统管理 + 262|- **如何判别你的Linux 服务器是 x64（也就是 x86_64）还是 ARM64** — Linux 服务器架构类型（x86_64 与 ARM64）的 4 种命令行检测方法（uname、lscpu、/proc/cpuinfo、file） + 263|- **在Synology NAS上安装CloudDrive2** — 在 Synology NAS 上安装配置 CloudDrive2 挂载阿里云盘，通过套件中心安装，使用 Docker 部署，配置阿里云盘扫码授权 + 264| + 265|- **固定机位** — 摄像机位置固定不变，是视频画面统一和连贯的基础，家装短视频成功的三大关键词之一 + 266|- **内容连续变化** — 视频主体信息随时间持续发生明确阶段性变化，家装短视频成功的三大关键词之一 + 267|- **时间压缩** — 将长时间拍摄过程在视频中浓缩表现的手法，家装短视频成功的三大关键词之一 + 268|- **分镜拆解** — 将视频内容拆分成多个画面阶段描述的过程，AI 视频制作流程的起始步骤 + 269|- **九宫格法** — 同时生成 3×3 共九个分镜画面，保证机位与角度不变，画面一致性强 + 270|- **首尾针动画** — 通过两个关键帧（首针和尾针），AI 自动补齐中间动作，生成连贯动画的技术 + 271|- **快节奏剪辑** — 视频使用 2-4 倍速加速和硬切手法，强化节奏感与流畅度 + 272|- **卡点** — 画面变化与音乐节奏巧妙同步，提高观看体验 + 273| + 274|- **AI 工具分类** — 大脑类（XAR GPT、GEMALA）、设计师类（Midjourney、Nano Banana）、动效类（海螺AI、KAI） + 275|- **Synology NAS + Xiaoya Alist + CloudDrive2 + Plex 搭建家庭媒体平台** — 利用群晖NAS + Xiaoya Alist + CloudDrive2 + Plex 搭建家庭媒体平台（Docker 部署、Xiaoya 获取云盘资源、CloudDrive2 挂载为本地磁盘、Plex 媒体刮削） + 276|- **Cloud Operating Model: Key Strategies and Best Practices** — 云运营模型（COM）四大支柱：治理、自动化、安全、成本管理，涵盖行业用例（金融、医疗、零售、SaaS）和未来趋势（AI 驱动运维、可持续云计算、多云策略） + 277| + 278|- **Serverless Computing（无服务器计算）** — 云原生架构模式，AWS 负责基础设施运维，客户只需编写业务代码，实现按需付费和自动扩展 + 279|- **用Docker中安装Navidrome** — 使用 Docker Compose 部署 Navidrome 音乐流媒体服务器的配置文件示例 + 280|- **Modern ITSM: Driving Efficiency, Security & Resilience** — 现代 IT 服务管理的演进趋势，AIOps、零信任架构、Policy-as-Code 等技术的应用 + 281|- **How to Simplify Multi-Account Deployments Monitoring: Centralized Logs for AWS CloudFormation StackSets** — 多账号环境下 CloudFormation StackSets 部署监控的集中化日志解决方案，通过 EventBridge 跨账号事件转发 + CloudWatch Logs 实现单一管理界面监控（[旧版](sources/how-to-simplify-multi-account-deployments-monitoring.md)） + 282|- **Public vs Private vs Hybrid: Cloud Differences Explained** — 公有云、私有云和混合云三种部署模式的核心区别，包括各模式的优势、劣势、适用场景，以及云计算共享责任模型 + 283|- **How Agentic AI can help for Cloud DevOps** — Agentic AI 增强 Cloud DevOps 的七大领域：自主事件检测与响应、自动化云部署与配置、智能成本优化、AI 驱动安全与合规、智能日志分析与可观测性、SaaS 多租户管理、AI 辅助决策 + 284|- **How Can a Multi Cloud Strategy Transform Your Business ROI?** — 多云策略的定义、8大优势（避免供应商锁定、弹性可靠性、安全性、可扩展性、成本优化、创新访问、合规性、性能优化）、实施4步骤、3个行业用例（电商、医疗、金融） + 285|- **The Myths and Misconceptions About Cloud Computing | LinkedIn** — 云计算7大常见误解与真相（安全性、成本、迁移复杂性、性能、数据控制、适用规模） + 286|- **What I know about Cloud Service Delivery 1** — 云服务交付的完整定义 + 287|- **DevOps Culture and Transformation: Fostering Collaboration, Agile Practices, and Innovation** — DevOps 文化转型方法论，涵盖四大支柱、敏捷整合、转型战略及未来趋势（AI/ML、GitOps、Serverless DevOps、Edge IoT DevOps、DevSecOps） + 288|- **Cloud DevOp Maturity - Guideline** — 企业级 SaaS 公司的 DevOps 成熟度评估框架（自动化、协作、监控、安全四大支柱） + 289|- **Cloud Maturity Model A Detailed Guide For Cloud Adoption** — 云成熟度模型的详细指南，涵盖5个成熟度等级（0-4：无云准备到优化级）、16个业务能力领域和18个技术能力领域，以及实施最佳实践 + 290|- **DevOps Maturity Model From Traditional IT to Advanced DevOps** — DevOps 成熟度五级框架详解（初始/应急→局部DevOps→自动化与定义→高度优化→完全成熟），涵盖文化与战略、自动化、结构与流程、协作与共享、技术五大评估领域，以及安全集成方法和常见障碍分析 + 291| + 292|- **What is DevSecOps? Best Practices, Benefits, and Tools** — DevSecOps 方法论详解（SDLC 安全集成、SAST/SCA/IAST/DAST 四大工具、Shift Left/Right 策略、企业实施挑战） + 293|- **CTP Topic 52 3 Lines of Defence (3LoD) framework Cloud Security Posture Management (CSPM)** — 三道防线框架与云安全态势管理，CSPM 统一监控多云账户安全配置，Cloud Guard 解决方案 + 294| + 295|- **Public Cloud Learning Sessions (OpenText) - GitHub Enterprise to GitLab migration** — OpenText 将代码仓库从 GitHub Enterprise 迁移到 GitLab，self-serve 模式 + 296| + 297|- **Public Cloud Learning Sessions (OpenText) - GIS Security Policies** — OpenText 全球信息安全团队（GIS）的安全策略框架与组织结构，基于 ISO 27001 的分层安全方法 + 298| + 299|- **Public Cloud Learning Sessions (OpenText) - Applicable Business Analysis Techniques** — OpenText 业务分析技术学习会议，介绍 BOSCARD（背景、目标、范围、约束、假设、风险、角色、可交付成果）、相关方轮盘和需求收集方法（T 型技能、用户故事 + 元数据、SAFe 框架） + 300| + 301|- **Public Cloud Learning Sessions (OpenText) - Serverless Computing** — AWS 无服务器计算学习会议，涵盖 Lambda 事件触发机制、Step Functions 工作流编排、API Gateway API 管理、SAM 本地开发 + 302| + 303|- **Public Cloud Learning Sessions (OpenText) - Event Driven Architecture - Part 2** — 事件驱动架构（EDA）最佳实践：Sparse vs Full State Events、幂等性、事件排序保障、团队独立性、扇出模式、竞争消费者模式 + 304| + 305|- **Public Cloud Learning Sessions (OpenText) - Generative AI & Prompt Engineering** — AWS 生成式 AI 服务与提示词工程基础，涵盖 RAG、微调、提示词组件与技巧 + 306| + 307|- BOSCARD（Background、Objectives、Scope、Constraints、Assumptions、Risks、Roles、Deliverables）：定义复杂新工作的系统化技术，帮助在项目早期明确范围、目标和可交付成果，避免目标、时间线和交付物的混淆 + 308| + 309|- **Ubuntu 服务器通过 rsync 实现日常增量备份** — 使用 rsync 实现 Ubuntu 服务器到 NAS 的增量备份，涵盖 NFS 永久挂载和灾难恢复 + 310| + 311|- **CTP Topic 46 NetApps on AWS** — NetApp Cloud Volume ONTAP (CVO) 架构、部署、数据分层（EBS→S3）、安全加密与灾备（SnapMirror） + 312| + 313|- **CTP Topic 49 Container Lifecycle Hardening Standards** — Micro Focus 容器生命周期加固标准，构建阶段 11 项安全最佳实践（基础镜像、init 系统、敏感信息管理、只读文件系统、镜像扫描等） + 314| + 315|- **CTP Topic 37 Secrets Certificates Management** — 云转型项目密钥与证书管理方案选型，评估 AWS Secrets Manager、HashiCorp Vault、CryptoArk PAM，30天试点后选择 AWS Secrets Manager + 316| + 317|- **CTP Topic 34 Azure Landing Zone Architecture Overview** — Azure Landing Zone 架构设计，Management Groups 四区域划分、Subscription 分离、Terraform Cloud 自动化 + 318|- **CTP Topic 7 SaaS Landing Zone Design** — 生产环境 SaaS Landing Zone 高级设计，单一 Landing Zone 策略、Core/Baseline/Shared Services 账户分离 + 319|- **CTP Topic 5 AWS Identity and Access Management (IAM)** — AWS IAM 用户、组、角色和策略管理，联合访问与权限控制，最小权限原则 + 320| + 321|- **EKS Auto Mode** — AWS EKS 自动模式，自动管理 Kubernetes 数据平面的计算、网络、存储和安全 + 322| + 323|- **CTP Topic 64 Scaling out with Amazon EKS** — Amazon EKS 水平扩展与垂直扩展机制，涵盖 HPA、KEDA、Karpenter、Cluster Autoscaler、IPv6 网络解决方案 + 324| + 325|- **Bottlerocket OS** — 专为容器设计的最小化 Linux 操作系统，AWS 维护，开源免费，通过变体满足特定工作负载需求，具备安全更新和不可变根文件系统 + 326| + 327|- **CTP Topic 11 AD Integration and Login using AD accounts** — Jenkins 与 AD 集成实现自动登录，pre-commit 框架嵌入 terraform fmt、TFLint、Checkov 自动化安全检查，左移治理模式 + 328|- **CTP Topic 3 Deploy and maintain infrastructure** — CTP 云转型计划基础设施部署与维护，Terraform、Terragrunt、模块和服务目录在 Landing Zone 架构下的使用 + 329| + 330|- **CTP Topic 32 Using Atlantis CICD for Infrastructure Deployments** — Atlantis 替代 Jenkins 进行基础设施自动化部署，开源自托管 Terraform CI/CD 工具，通过 GitHub PR 评论触发 plan/apply，支持并行构建和目录锁定 + 331|- **CTP Topic 40 SaaS Database Architecture On AWS Cloud** — AWS 云上 SaaS 数据库架构设计，SaaS 数据库团队全球运维实践（500+ 数据库、1000+ 服务器，Oracle/Postgres/DynamoDB 等多种数据库，高可用设计） + 332|- **CTP Topic 28 AWS Tag Validation Tool** — AWS 标签验证工具，通过 YAML 配置文件审计资源标签合规性，生成 CSV 报告 + 333|- **CTP Topic 30 Managing Change** — 云转型项目中的变更管理流程，SRE 角色定义和三种变更类型（标准变更、正常变更、紧急变更） + 334|- **CTP Topic 73 AWS Backup implementation of the Cloud Transformation Program** — AWS Backup 在 CTP 云转型计划中的实施，涵盖 SRE 备份模型、DR 账户备份、AWS Backup Audit Manager 审计 + 335| + 336|- **Public Cloud Learning Sessions - Reducing Cloud Costs** — 云成本优化策略，涵盖工作负载优化（现代化+Right Sizing）和费率优化（Savings Plans、预留实例、Spot 实例），FINOPS 团队分享 + 337| + 338|- **CTP Topic 71 PCG's Guide to RightSizing, Why, How, When** — AWS 资源优化（Right Sizing）的全面指南，涵盖为什么需要做、如何做、什么时候做三大维度 + 339| + 340|- **FinOps** — 云财务运营实践，整合财务管理与云资源优化，实现云支出可见性、控制和持续优化 + 341|- **Budget Control** — AWS账户预算控制自动化，提供四级警报类型（forecast、actual、severe、enforcement）和详细成本报告（top services、top users），通过SCP限制资源创建实现成本控制 + 342|- **Storage Cost Optimization** — AWS 存储服务（EBS、EFS、FSx、S3）成本优化，通过选择正确存储类型、使用生命周期策略和智能分层降低存储成本 + 343|- **Right Sizing** — 识别正确资源规格匹配工作负载需求，通过 EC2 Right Sizing 推荐报告、实例调度、闲置资源清理实现成本节省 + 344|- **Instance Scheduling** — 实例定时调度工具，通过预设时间规则自动控制 EC2 和 RDS 实例启停，实现非生产环境成本优化 + 345|- **Rate Optimization** — 基于承诺使用（1-3年）获取折扣，AWS 提供 Savings Plans 和 Reserved Instances，最低交易价值每年 5,000 美元 + 346| + 347|- **CTP Topic 60 Monitor AWS using Hyperscale Observability with Grafana** — AWS 云监控与 Grafana 可观测性平台集成，Terraform 模块自动创建 Grafana 组织、仪表板，Optic DR 数据源集成，告警转发 OpsBridge + 348|- **CTP Topic 62 AWS Secrets Manager** — AWS Secrets Manager 企业级敏感信息管理，分阶段实施方法（集中化→自动化获取→轮换），Lambda 数据库密码轮换，JDBC Wrapper 无密码登录 + 349| + 350|- **CTP Topic 67 Cloud Native Observability Using OpenTelemetry** — 云原生可观测性方案，基于 ADOT 在 EKS 上的部署实践（sidecar、daemonset、HA 模式） + 351| + 352|- **Public Cloud Learning Sessions - Observability with OpenTelemetry** — OpenTelemetry 可观测性框架在 AWS 环境中的应用，涵盖 Metrics、Logs、Traces 三大信号，ADOT 统一代理自动检测应用语言 + 353| + 354|- OpenTelemetry（OTel）：厂商中立的遥测数据采集框架，提供统一数据格式和 11 种语言 SDK，解决不同组件各自为政的 SDK 问题 + 355|- **CTP Topic 54 ESM SaaS Log Analytics** — ESM SaaS Log Analytics（日志分析）架构与实践，ELK Stack/OpenSearch 架构，BEATS 采集日志，VPC 私有传输，安全加密（TLS 1.2、静态加密），成本对比（Logz.io $4,000 vs AWS OpenSearch $1,500），GDPR 合规驱动区域部署 + 356| + 357|- **CTP Topic 55 AWS Firewall Manager** — AWS Firewall Manager 多账号安全策略集中管理，跨 Landing Zone 安全组统一配置，支持三种策略类型（通用安全组、审计强制、清理未使用），通过 AWS Config + Lambda 实现自动修复 + 358| + 359|- **CTP Topic 57 Product backlog managing demand** — Product Backlog 管理需求流程，SMACs 提交、Octane 入池、前置条件阶段 + 360|- **CTP Topic 21 Supply Chain Security in Micro Focus** — Micro Focus 软件供应链安全的新方法，将供应链安全作为 SDL 第五大支柱 + 361|- **CTP Topic 24 Micro Focus Product Privacy Framework** — Micro Focus 产品隐私框架，将 GDPR/CCPA 法律条款翻译为约 110 项具体技术要求，通过成熟度模型评估合规现状 + 362|- **CTP Topic 8 Implementation of Cloud monitoring using Micro Focus Operations Bridge** — 使用 Micro Focus Operations Bridge Manager (OBM) 实现 AWS 云监控的实施方案（IAM Role 跨账户访问、Management Packs 动态监控） + 363|- **如何在Ubuntu Server上通过NFS挂载Synology NAS上的共享文件夹** — 在 Ubuntu Server 上通过 NFS 协议挂载 Synology NAS 共享文件夹 + 364|- **Ubuntu 禁用合盖休眠** — 在 Ubuntu 24.04 中通过修改 systemd-logind 配置禁用笔记本合盖休眠行为 + 365|- **群晖NAS科学上网方法** — 在群晖 NAS 上通过 V2RayA 配置透明代理，使 Docker 可以科学上网 + 366|- **RAX50 路由器更新 Merlin Clash 订阅指南** — RAX50 路由器 Merlin Clash 订阅更新教程 + 367|- **用Docker安装it-tools** — 使用 Docker 部署 it-tools 运维工具集合 + 368|- **用Docker安装Jellyfin** — 使用 Docker 部署 Jellyfin 媒体服务器的配置文件示例 + 369|- **用Docker安装transmission** — 使用 Docker 部署 Transmission BT 下载客户端的配置文件示例 + 370|- **3X-UI Xray on BandwagonVPS** — 在 Bandwagon VPS 上安装配置 3X-UI 面板管理 Xray 代理服务 + 371|- **可自动化、可扩展、AI增强的电商数据采集与处理系统** — 基于 Docker + n8n + Scrapy + Playwright 的电商数据采集与处理系统设计 + 372|- **n8n Docker install & update** — n8n 工作流自动化工具的 Docker 部署与网络代理配置（SOCKS5 代理、Docker 网桥） + 373|- **n8n configure telegram trigger** — n8n Telegram Trigger 配置问题排查与解决，通过设置 WEBHOOK_URL 环境变量为 HTTPS URL 解决 Telegram Webhook 必须使用 HTTPS 的要求 + 374|- **TikTok PM - Python Django Project** — TikTok 产品管理系统（Django Web 应用），涵盖 Django Admin 定制、DRF API、异步任务、Docker 部署完整指南，涵盖爬虫工具对比、Docker 架构、n8n 自动化流程、AI 处理建议 + 375|- **N8N Full Tutorial Building AI Agents in 2025 for Beginners!** — N8N 平台构建 AI Agent 入门教程（Agentic Systems 定义、节点分类、工具集成、上下文记忆、Airtable 集成） + 376|- **Semantic Memory Search** — 为 OpenClaw 添加向量语义搜索能力，解决 markdown 内存文件的语义检索问题 + 377|- **养虾日记2：让Agent更懂你** — AI Agent 记忆问题的解决方案，通过 self-improving skill + 双层记忆架构 + 每日复盘机制实现 Agent 持续学习和改进，核心价值：错误只犯一次，第二次就知道怎么做对 + 378|- **不会Gemini的产品经理真的要被淘汰了 | 附保姆级PRD生成指南** — AI 时代产品经理能力重塑，Gemini 赋能 PRD 生成工作流 + 379| + 380|- **Obsidian 必装 Skills** — Obsidian 必装的 AI Skills 推荐与配置指南，推荐 9 个核心 Skills（defuddle、obsidian-cli、obsidian-bases、obsidian-markdown、obsidian-canvas-creator、mermaid-visualizer、excalidraw-diagram、tutor-skills、scholar-skill）和 2 个核心插件（claudian、obsidian-agent-client） +- **Corporate Training Designer** — 企业培训系统架构与课程开发专家智能体，涵盖 ADDIE/SAM 模型、Bloom's Taxonomy、Kirkpatrick 四级评估、TTT 内部培训师培养、新员工 90 天计划等完整方法论 + 381| \ No newline at end of file diff --git a/wiki/sources/LLM-Wiki.md b/wiki/sources/LLM-Wiki.md new file mode 100644 index 00000000..d4a0ae6a --- /dev/null +++ b/wiki/sources/LLM-Wiki.md @@ -0,0 +1,56 @@ +--- +id: LLM-Wiki +title: "LLM Wiki" +type: source +tags: [llm, wiki, knowledge-management] +date: 2026-04-20 +--- + +## Source File +- [[raw/Agent/LLM Wiki.md]] + +## Summary +- 核心主题：LLM 持续构建和维护的持久化 wiki 体系 +- 问题域：RAG 每次查询都重新拼接知识、缺少积累；聊天记录无法成为可维护的知识资产 +- 方法/机制：raw sources → LLM 编译成 wiki → 持续更新 index / overview / entity / concept / log +- 结论/价值：知识从一次性回答变成可累积、可追溯、可维护的长期资产 + +## Key Claims +- 传统 RAG 在查询时临时检索片段，知识不会自动沉淀 +- LLM Wiki 的核心不是“回答”，而是“编译并维护”一个结构化、互联的知识库 +- wiki 是持久化的 compounding artifact，跨来源的交叉引用和矛盾标注会随着时间累积 +- 人负责选题和判断，LLM 负责摘要、交叉引用、归档和 bookkeeping + +## Key Quotes +> "the wiki is a persistent, compounding artifact" — 对知识库长期价值的定义 + +> "Obsidian is the IDE; the LLM is the programmer; the wiki is the codebase." — 对工作流分工的比喻 + +## Key Concepts +- [[RAG]]：对照对象；LLM Wiki 超越的是纯检索式工作流 +- [[Source-grounding]]：都强调从受控来源出发，但 LLM Wiki 更强调持续编译和维护 +- [[Second Brain]]：同属个人知识管理范式，但 LLM Wiki 更结构化、更可维护 +- [[Knowledge Base]]：LLM Wiki 目标是让知识库真正“活”起来 +- [[Graph View]]：用链接网络观察 wiki 的结构与孤岛 +- [[Obsidian]]：文中提到的阅读与维护界面 +- [[NotebookLM]]：与 source-grounding 思路相近的参考产品 + +## Key Entities +- [[OpenClaw]]：文中使用的自动化/记忆工作流类比对象 +- [[Tolkien Gateway]]：示例性的长期演化粉丝 wiki +- [[Memex]]：与“关联轨迹”理念相关的历史原型 + +## Connections +- [[RAG]] ← contrasted_with ← [[LLM Wiki]] +- [[Source-grounding]] ← related_to ← [[LLM Wiki]] +- [[Second Brain]] ← overlaps_with ← [[LLM Wiki]] +- [[Knowledge Base]] ← implemented_as ← [[LLM Wiki]] +- [[Graph View]] ← helps_visualize ← [[LLM Wiki]] +- [[Obsidian]] ← hosts ← [[LLM Wiki]] +- [[NotebookLM]] ← inspired_by ← [[LLM Wiki]] + +## Contradictions +- 与纯 [[RAG]] 工作流冲突： + - 冲突点：查询时临时检索 vs 持续编译沉淀 + - 当前观点：知识应进入可维护 wiki，而不是每次从原始文档重新拼接 + - 对方观点：原始文档只做检索，不承担知识累积责任 \ No newline at end of file diff --git a/wiki/sources/corporate-training-designer.md b/wiki/sources/corporate-training-designer.md new file mode 100644 index 00000000..dea84d00 --- /dev/null +++ b/wiki/sources/corporate-training-designer.md @@ -0,0 +1,78 @@ +--- +title: "Corporate Training Designer" +type: source +tags: [agent, training, enterprise-learning, instructional-design] +sources: [] +last_updated: 2026-04-20 +--- + +## Source File +- [[raw/Agent/agency-agents/specialized/corporate-training-designer.md]] + +## Summary +- 核心主题：企业培训系统架构与课程开发专家智能体 +- 问题域：企业培训需求分析、课程体系设计、教学方法论、培训效果评估 +- 方法/机制：ADDIE/SAM 模型、Bloom's Taxonomy、Kirkpatrick 四级评估、Kolb 体验式学习、TTT 内部培训师培养 +- 结论/价值：提供从需求诊断到效果追踪的完整企业培训解决方案，强调业务结果导向和数据驱动优化 + +## Key Claims +- 所有培训设计必须从业务问题出发，而非"我们有什么课程" +- 培训目标必须可衡量，而非模糊的"提升沟通能力" +- 成人学习必须具有即时实用价值，每项学习活动必须回答"我马上能在哪里用" +- Kirkpatrick Level 3（行为改变）是高投入项目的必备评估维度 +- 合规培训必须达到 100% 全员覆盖和完整培训记录 + +## Key Concepts + +- [[ADDIE 模型]]：Analysis → Design → Development → Implementation → Evaluation，每个阶段有明确交付物 +- [[SAM 模型]]（Successive Approximation Model）：适用于快速迭代场景，原型→评审→修订循环缩短上线时间 +- [[Bloom's Taxonomy]]：按认知层级设计学习目标和评估（记忆→理解→应用→分析→评估→创造） +- [[Kirkpatrick 四级评估模型]]：Level 1 反应、Level 2 学习、Level 3 行为、Level 4 结果 +- [[建构主义学习理论]]：强调通过情境任务、协作学习和反思复盘进行主动知识建构 +- [[翻转课堂]]：课前在线预习知识点，课堂讨论和实操练习，课后行动转化 +- [[混合学习]]（OMO — Online-Merge-Offline）：线上用于"知"，线下用于"做"，学习社群用于"持续" +- [[Kolb 体验式学习]]：具体经验→反思观察→抽象概念化→主动实验 +- [[Gamification]]：积分、徽章、排行榜、升级机制提升参与度和完成率 +- [[TTT]]（Train the Trainer）：内部培训师培养，核心模块包括成人学习原理、课程开发技巧、表达呈现技能 +- [[HIPO 计划]]（High-Potential Talent Program）：高潜力人才发展计划，识别标准为绩效×潜力矩阵 +- [[行动学习]]：围绕真实业务挑战组建学习小组，通过解决实际问题发展领导力 +- [[360 度反馈]]：从上级/同事/下级/客户收集多维反馈，生成个人领导力档案和发展建议 +- [[ADDIE]]：见 ADDIE 模型 +- [[新员工培训 90 天计划]]：第 1 周适应→第 1 月学习→第 2 月实践→第 3 月输出 + +## Key Entities + +- [[DingTalk Learning]]：阿里生态企业首选，深度集成钉钉 OA，支持直播培训和任务推送 +- [[WeCom Learning]]：微信生态企业首选，可嵌入公众号和小程序，社交学习体验强 +- [[Feishu Knowledge Base]]：字节跳动生态和知识管理导向组织首选，文档协作优秀 +- [[UMU Interactive Learning Platform]]：国内领先混合学习平台，AI 陪练、视频作业、丰富交互功能 +- [[Yunxuetang]]（云学堂）：中大型企业一站式学习平台，课程资源丰富，覆盖人才发展全生命周期 +- [[KoolSchool]]（酷学院）：轻量级企业培训 SaaS，快速部署，适合中小企业和连锁零售行业 + +## Connections +- [[Corporate Training Designer]] ← designs ← [[ADDIE 模型]] +- [[Corporate Training Designer]] ← applies ← [[Kirkpatrick 四级评估模型]] +- [[Corporate Training Designer]] ← uses ← [[Bloom's Taxonomy]] +- [[Corporate Training Designer]] ← implements ← [[混合学习]] +- [[Corporate Training Designer]] ← develops ← [[TTT]] +- [[Corporate Training Designer]] ← delivers via ← [[DingTalk Learning]] +- [[Corporate Training Designer]] ← delivers via ← [[WeCom Learning]] +- [[Corporate Training Designer]] ← delivers via ← [[Feishu Knowledge Base]] + +## Contradictions +- 无已知冲突 + +## Training Evaluation Methods +- Level 1 (Reaction)：培训满意度调查——课程评分、讲师评分、NPS +- Level 2 (Learning)：知识考试、技能实操评估、案例分析作业 +- Level 3 (Behavior)：培训后 30/60/90 天行为改变追踪——经理观察、关键行为清单 +- Level 4 (Results)：业务指标变化（收入、客户满意度、生产效率、员工留存） + +## Success Metrics +- 培训满意度评分 >= 4.5/5.0，NPS >= 50 +- 关键课程考试通过率 >= 90% +- 培训后 90 天行为改变率 >= 60%（Kirkpatrick Level 3） +- 年度培训覆盖率 >= 95%，人均学习时长达标 +- 内部培训师池满足业务需求，培训师满意度 >= 4.0/5.0 +- 合规培训 100% 全员覆盖，100% 考试通过率 +- 培训项目的可量化业务影响（如缩短新员工上手时间、提升客户满意度） diff --git a/wiki/sources/healthcare-marketing-compliance.md b/wiki/sources/healthcare-marketing-compliance.md new file mode 100644 index 00000000..183ff2b8 --- /dev/null +++ b/wiki/sources/healthcare-marketing-compliance.md @@ -0,0 +1,43 @@ +--- +title: "Healthcare Marketing Compliance Specialist" +type: source +tags: [agent, the-agency, healthcare, compliance, china] +date: 2026-04-20 +source_file: raw/Agent/agency-agents/specialized/healthcare-marketing-compliance.md +--- + +## Source File +- [[raw/Agent/agency-agents/specialized/healthcare-marketing-compliance.md]] + +## Summary +- A specialized The Agency agent focused on healthcare marketing compliance in China. +- It covers medical advertising review, pharmaceutical promotion, medical devices, internet healthcare, health content marketing, medical aesthetics, health supplements, privacy, academic detailing, and platform review rules. +- The piece emphasizes that compliance is not a blocker to marketing; it is the guardrail that keeps growth legal and sustainable. + +## Key Claims +- Medical advertising is tightly regulated and generally requires prior review and approval before publication. +- Prescription drugs are effectively barred from public-facing promotion, while OTC and device marketing must stay within approved scope. +- Medical aesthetics promotion is especially sensitive around appearance anxiety, before-and-after comparisons, and celebrity inference. +- Health supplements must not claim therapeutic effects and can only promote approved/registered functional claims. +- Patient medical and health information is sensitive personal information and cannot be repurposed for marketing without consent. + +## Key Quotes +> "Compliance is not 'blocking marketing' — it is 'protecting the brand.'" — framing the role of compliance + +> "Prescription drugs are strictly prohibited from public-facing advertising" — the central baseline rule + +## Key Concepts +- [[HealthcareMarketingCompliance]] +- [[MedicalAdvertisingCompliance]] +- [[HealthSupplementMarketing]] +- [[InternetHealthcareCompliance]] +- [[MedicalAestheticsCompliance]] +- [[PatientPrivacyProtection]] +- [[AcademicDetailingCompliance]] + +## Key Entities +- [[Healthcare Marketing Compliance Specialist]] — the agent persona described by the source +- [[The Agency]] — parent project ecosystem + +## Contradictions +- No direct contradictions with existing wiki content detected. diff --git a/wiki/sources/specialized-cultural-intelligence-strategist.md b/wiki/sources/specialized-cultural-intelligence-strategist.md new file mode 100644 index 00000000..e3dd24fb --- /dev/null +++ b/wiki/sources/specialized-cultural-intelligence-strategist.md @@ -0,0 +1,45 @@ +--- +title: "Cultural Intelligence Strategist" +type: source +tags: [agent, the-agency, design, localization, accessibility] +date: 2026-04-20 +source_file: raw/Agent/agency-agents/specialized/specialized-cultural-intelligence-strategist.md +--- + +## Source File +- [[raw/Agent/agency-agents/specialized/specialized-cultural-intelligence-strategist.md]] + +## Summary +- A The Agency specialist agent focused on detecting invisible exclusion in products, prompts, and UI workflows before they ship. +- The role emphasizes global-first thinking, contextual semiotics, and culturally humble research rather than superficial diversity signaling. +- It treats inclusive design as structural work: names, calendars, symbols, colors, metaphors, and localization assumptions must all be validated. + +## Key Claims +- Rigid Western defaults such as first-name/last-name fields can fail for many global users. +- Visual and linguistic choices carry culture-specific meaning, so icons, colors, and metaphors must be checked in context. +- AI systems should not rely on tokenistic diversity; they need structural constraints, research, and post-generation review. +- The safest default is to ask who is left out, then research that audience before generating output. + +## Key Quotes +> "Who is left out?" — the first audit question for inclusive workflows + +> "This form design assumes a Western naming structure and will fail for users in our APAC markets." — the canonical blindspot framing + +## Key Concepts +- [[Cultural Intelligence]] — umbrella concept for cross-cultural product and prompt design +- [[Invisible Exclusion]] — hidden friction caused by rigid defaults and narrow assumptions +- [[Global-First Architecture]] — treating internationalization as a prerequisite, not a retrofit +- [[Contextual Semiotics]] — interpreting colors, icons, and metaphors within a specific culture +- [[Cultural Humility]] — researching the audience before claiming confidence +- [[Prompt Engineering]] — the message-design layer this role constrains for bias and inclusion +- [[Design System]] — the product-layer discipline this role pressures toward global accessibility + +## Key Entities +- [[Cultural Intelligence Strategist]] — the agent persona described by the source +- [[The Agency]] — parent project ecosystem +- [[Image Prompt Engineer]] — related agent focused on structured prompt translation +- [[Inclusive Visuals Specialist]] — related agent focused on bias-aware visual generation + +## Contradictions +- Contrasts with tokenistic diversity fixes that add surface-level representation without changing underlying product assumptions. +- Contrasts with late-stage localization that treats global support as a final polish step instead of a core architecture decision. diff --git a/wiki/sources/specialized-workflow-architect.md b/wiki/sources/specialized-workflow-architect.md new file mode 100644 index 00000000..79275bc9 --- /dev/null +++ b/wiki/sources/specialized-workflow-architect.md @@ -0,0 +1,52 @@ +--- +title: "Workflow Architect" +type: source +tags: [agent, the-agency, workflow-design, process-engineering] +date: 2026-03-29 +sources: [specialized-workflow-architect] +last_updated: 2026-04-20 +--- + +## Source File +- [[raw/Agent/agency-agents/specialized/specialized-workflow-architect.md]] + +## Summary +- 核心主题：Workflow Architect 负责把系统行为拆解为完整的工作流树，覆盖 happy path、分支条件、失败模式、恢复路径和交接契约 +- 问题域：隐式流程、遗漏分支、未定义 handoff、cleanup 缺失、spec 与现实漂移 +- 方法/机制：发现扫描、工作流注册表、步骤级分支建模、可观察状态定义、ABORT_CLEANUP、Reality Checker 校验 +- 结论/价值：把流程设计从描述性文本提升为可实现、可测试、可审计的结构化规格 + +## Key Claims +- Workflow Architect 的核心职责不是写代码，而是定义系统必须如何表现 +- 每个工作流都必须覆盖 happy path、validation failure、timeout、transient failure、permanent failure、partial failure 和 concurrent conflict +- 每个系统边界都必须定义 payload、success response、failure response、timeout 和 recovery action +- 任何创建资源的步骤都必须进入 cleanup inventory，并在 ABORT_CLEANUP 中有对应销毁动作 +- Reality Checker 是工作流规范闭环的一部分，不能在未验证实现前标记 Approved + +## Key Quotes +> "You think in trees, not prose." + +> "A workflow that exists in code but not in a spec is a liability." + +> "Every system boundary must have explicit payload schema, explicit success response, explicit failure response, timeout value, and recovery action." + +## Key Concepts +- [[Workflow Architecture]]：以流程树建模系统行为的方法 +- [[Claude Skills]]：将重复流程封装为可复用 SOP 的技术范式 +- [[Process Optimization]]：通过重设工作流提升效率、质量与可靠性 +- [[AI-powered Runbooks]]：将历史事件和最佳实践转为可执行运维手册 +- [[Document Generation]]：将结构化规范与模板化产物自动化生成 + +## Key Entities +- [[The Agency]]：所属项目 +- [[Workflow Architect]]：对应的 AI Agent 实体 + +## Connections +- [[The Agency]] ← contains ← [[Workflow Architect]] +- [[Claude Skills]] ← enables ← [[Workflow Architect]] +- [[Workflow Architecture]] ← defines ← [[Workflow Architect]] +- [[Process Optimization]] ← benefits_from ← [[Workflow Architect]] +- [[AI-powered Runbooks]] ← operationalizes ← [[Workflow Architect]] + +## Contradictions +- 无明显冲突 diff --git a/wiki/sources/如何传输Docker-images-并且在另一个Docker安装.md b/wiki/sources/如何传输Docker-images-并且在另一个Docker安装.md new file mode 100644 index 00000000..dcbd8ed8 --- /dev/null +++ b/wiki/sources/如何传输Docker-images-并且在另一个Docker安装.md @@ -0,0 +1,39 @@ +--- +id: ru-he-chuan-shu-docker-images +title: "如何传输Docker images 并且在另一个Docker安装" +type: source +tags: [docker, nas, synology, home-office] +date: 2025-03-06 +last_updated: 2026-04-20 +--- + +## Source File +- [[raw/Home Office/如何传输Docker images 并且在另一个Docker安装.md]] + +## Summary +- 核心主题：将 Docker 镜像从工作笔记本离线传输至 Synology NAS Docker 环境 +- 问题域：无法直接在 NAS 上 pull 镜像（网络限制或镜像源访问问题） +- 方法/机制：通过 `docker save` 打包为 tar 文件 → 上传至 NAS 文件系统 → 通过 Putty SSH 执行 `docker load` 导入 +- 结论/价值：三步离线迁移流程，适用于任何无法直接 pull 的 Docker 环境 + +## Key Claims +- `docker save` 命令将本地镜像打包为可移植的 tar 文件，`docker load` 在目标环境恢复，两端 Docker 版本无需一致 +- 离线传输路径：工作笔记本 DockerDesktop → tar 文件 → NAS 文件系统 → NAS Container Manager + +## Key Quotes +> "通过以下命令将下载的image打包成tar文件" — 核心操作步骤说明 + +## Key Concepts +- [[Docker镜像离线传输]]：docker save / docker load 工作流 +- [[Docker]]：容器化平台 + +## Key Entities +- [[SynologyNAS]]：目标 Docker 运行环境，通过 Container Manager 管理镜像 +- [[XiaoyaAlist]]：迁移的目标镜像（`xiaoyaliu/alist`），小雅 Alist 媒体库工具 + +## Connections +- [[SynologyNAS]] ← depends_on ← [[Docker镜像离线传输]] +- [[如何传输Docker-images-并且在另一个Docker安装]] ← related_to ← [[Synology NAS + Xiaoya Alist + CloudDrive2 + Plex 搭建家庭媒体平台]] + +## Contradictions +- 无冲突

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