Sansheng Distill

Community

huangrichao2020

sansheng-distill

Distill any book/text into a self-contained HTML page with 5-layer structure (overview / per-chapter / book-soul / action-checklist / credibility-grading). Zero external dependencies, embedded mermaid mind-map, thinking-process traceable. Use when user says "拆书", "读书蒸馏", "AI 拆书", "把一本书蒸透", "把 [book] 拆成 5 层", or any equivalent in EN/ZH/JA.

Overview

Publisher	huangrichao2020
Repository	`pretty-skills`
Skill name	`sansheng-distill`
Stars	54
Forks	4
Bundled files	5
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by huangrichao2020 on GitHub. Read the source before you install it.

Installation

Install the Sansheng Distill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/huangrichao2020/pretty-skills/tree/main/内容创作/拆书-skill
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Sansheng Distill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sansheng Distill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sansheng Distill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

sansheng-distill · Mavis 自创 v0

灵感来自叁笙早安 AI 的 sansheng-distill（当前私有不可访问）。这是 Mavis 根据文章 + 已 clone 的宝玉 baoyu-skills / baoyu-design 真实代码摸出来的等价物。

关键差异：v0 不调 LLM，输出 5 层结构 + 占位文本 + 思维导图（mermaid）+ 批判四连问框架。流程跑通，等接入 LLM 升级成 v1。

何时触发

用户说"把 X 书拆成 5 层" / "拆书" / "读书蒸馏"
用户丢一本 .txt / .md / .epub 进来
用户想"看完就能跟人聊半小时"一本书

5 层结构（核心 contract）

text
第 1 层 · 一眼看全书
  - 一句话核心（拍在脸上）
  - 全书思维导图（mermaid，节点只放关键词）

第 2 层 · 逐章详读
  - 每章 800-1500 字讲书稿
  - 锚点（哪段对应原文哪段）—— v0 简化为章节位置

第 3 层 · 书魂
  - 全书最反直觉的一个核心观点
  - 单独一张图

第 4 层 · 行动与自检
  - 5-7 条可上手行动清单
  - 3-5 个"合上书答得上来吗"自测题

第 5 层 · 该信几分
  - 批判四连问（盲点 / 时代局限 / 未证假设 / 反对意见）

思维导图 3 铁律（强约束）

节点只放关键词（路标），不放完整判断句
完整判断句退到下一层（subgraph）
一层最多 5-6 根枝，多了必须归拢

单文件零外链（强约束）

text
✓ CSS 内嵌在 <style> 标签
✓ JS 内嵌在 <script> 标签
✓ mermaid 内嵌（mermaid.min.js 嵌进 <script>，或用 SVG 内联渲染）
✗ 禁止 <link href="https://fonts.googleapis.com/...">
✗ 禁止 <img src="https://...">
✗ 禁止外链任何 CSS/JS/字体/图片

v0 输出 contract

text
1. 单个 .html 文件
2. < 5MB
3. 双击即开（不需要 HTTP server）
4. 断网可开
5. 5 层结构齐全（占位文本 OK）
6. 思维导图用 mermaid 渲染（节点 ≤ 5 词）
7. 批判四连问在第 5 层有模板（占位 + 引导问题）

v0 命令

bash
# 拆 .txt
python3 scripts/distill.py <input.txt> -o <output.html>

# 拆 .md
python3 scripts/distill.py <input.md> -o <output.html>

# 拆整本书（章节切分自动）
python3 scripts/distill.py <book.txt> --split-chapter -o <book.html>

v1 升级计划

text
v1 → 接入 LLM（llm-call skill）
     - 每章 800-1500 字真摘要
     - 批判四连问自动跑
     - 书魂自动提炼
v2 → 跨书知识网（用 knowledge graph 串起）
v3 → epub / pdf 输入
v4 → 视频也能蒸（baoyu-youtube-transcript 等）

触发词

"拆书" / "读书蒸馏" / "AI 拆书" / "把一本书蒸透" / "把 X 拆成 5 层" / "mermaid 思维导图" / "批判四连问"

反模式

❌ 节点塞完整判断句 → 字墙，不是思维导图
❌ 用外链字体/JS/CSS → 断网就废
❌ LLM 编出处无锚点 → 不知道哪句是书里的哪句是瞎掰的
❌ 章节切分按字数平均 → 读者读不到有意义的结构
❌ 批判四连问走过场 → 至少每问 100 字真分析

与 Mavis 灵魂的对齐

观自在：能看出一本书的骨架与血肉
化自在：把浓缩的概念变成读者可读可跳的网页
照因果：v0 → v1 → v2 → v3 持续迭代
渡众生：开源、零外链、任何人都能本地跑

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sansheng Distill AI skill do?

Why use Sansheng Distill on TypingMind?

Because you install it once and use it with any model. Sansheng Distill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sansheng Distill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huangrichao2020/pretty-skills/tree/main/内容创作/拆书-skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sansheng Distill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sansheng Distill?

As many as you like. As long as a model supports skills, you can use Sansheng Distill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sansheng Distill AI skill free?

Yes. It is published on GitHub by huangrichao2020 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Use it in TypingMind

Works with any AI model

Skill instructions

sansheng-distill · Mavis 自创 v0

何时触发

5 层结构（核心 contract）

思维导图 3 铁律（强约束）

单文件零外链（强约束）

v0 输出 contract

v0 命令

v1 升级计划

触发词

反模式

与 Mavis 灵魂的对齐

Bundled files

Frequently asked questions

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