Auto-sync: 2026-04-21 00:02

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2026-04-21 00:02:55 +08:00
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<text class="title">llm-wiki-sync — 从零散笔记到结构化 Wiki</text>
<text class="subtitle" transform="translate(0,70)">把 raw/ 里的素材自动解析为 Source 页面、实体与图谱chalkboard 风格)</text>
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<text class="box-title" x="20" y="34">1. Parse & Normalize</text>
<text class="box-body" x="20" y="64">frontmatter, metadata, language detection</text>
<text class="box-body" x="20" y="88">split sections, clean formatting</text>
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<text class="box-title" x="780" y="38">2. LLM Extraction</text>
<text class="box-body" x="780" y="70">Summary (24 sentences)</text>
<text class="box-body" x="780" y="98">Key Claims · Quotes · Concepts · Entities</text>
<text class="box-body" x="780" y="126">Connections (A → depends_on → B)</text>
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<text class="datasrc">Data sources: Karpathy gist (LLM Wiki), SamurAI llm-wiki-agent (github.com/SamurAIGPT/llm-wiki-agent), Quartz (jackyzha0/quartz)</text>
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<text class="caption" x="20" y="80">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.</text>
<text class="datasrc" x="20" y="120">Annotations: include source links in wiki: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f; https://github.com/SamurAIGPT/llm-wiki-agent; https://github.com/jackyzha0/quartz</text>
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# llm-wiki-sync 封面提示词
## 图片规格
- 尺寸16:9 (1920x1080 @ 2K)
- 提供商Google
- 模型gemini-3.1-flash-image-preview
## 提示词原文
A sophisticated editorial cover image for an article about transforming scattered notes into a reusable knowledge base. The composition shows: floating index cards, sticky notes, and document fragments scattered in the upper left area, gradually converging and connecting through elegant curved lines flowing toward a luminous central hexagonal node structure representing a structured wiki knowledge graph at the lower right. The nodes of the graph glow softly with subtle golden light. Subtle constellation-like connection lines weave between the scattered papers and the central knowledge hub. The color palette is deep navy and slate blue as the dominant background tones, with warm amber and soft gold accents on the structured graph elements, and cream white on the paper fragments. The overall aesthetic is modern editorial with a refined, handcrafted quality — like a premium magazine cover, not an infographic. Chinese title text readable: '用 LLM 把零散资料变成可复用的知识库' rendered in elegant typography integrated subtly into the design without being dominant. The lighting is cinematic with soft volumetric glow from the central knowledge nodes. High contrast, sharp details, 16:9 cinematic composition.
## 视觉元素说明
- **左上半区**:散落的便签、卡片、文档碎片,象征零散资料
- **中央汇聚**:优雅的曲线连接线,将碎片引导至右下角
- **右下核心**:发光的多边形节点结构,代表结构化 wiki 知识图谱
- **整体氛围**:深海军蓝 + 石板蓝背景,琥珀色/金色高亮,杂志封面质感
## 主题
知识汇聚:从零散资料到结构化知识库的转化过程

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