cangjie-skill
把书、长视频、播客等高价值内容蒸馏成可执行的 Agent Skills（Distill high-value content from books, long-form videos, podcasts, and more into executable Agent Skills）
原始仓库简介 · 中文摘要待补充 · agent-workflows / ai-skills / automation / book-to-skill / knowledge-distillation / prompt-engineering
README / 项目原文
Cangjie Skill
Distill methodologies from books, long-form videos, and podcasts into callable AI Skills
Finish reading, watching, or listening—and leave with a methodology you can invoke.
Cangjie Skill in 66 seconds
https://github.com/user-attachments/assets/87a2cf7b-2114-48aa-aecd-2640a667db40
Official Website
🌐 Visit the Cangjie Skill official website
The website provides visual Skill Pack browsing, a beginner-friendly usage guide, Skill detail pages, and a contribution submission entry. This GitHub repository remains the sole source for cangjie-skill code, methodology, and templates; the website provides presentation, navigation, and usage guidance.
What's New in v2.5.0
- Capability Bundle as the single source of truth: extraction produces stable capability cards and metadata before any installable output is compiled.
- Two deterministic delivery modes: compile one router-style Skill (
single) or a compact pack with a router plus promoted standalone Skills (pack). - A unified local toolchain:
scripts/cangjie.pynow covers diagnostics, compilation, output replanning, incremental updates, repair, rollback, evaluation, and benchmarking. - Safer evolution: content-addressed preprocessing, source diffs, impact analysis, transactional patches, edit detection, snapshots, and rollback are included.
- Registry v2 and website support: output mode and capability counts are visible without breaking existing Registry v1 entries.
See the v2.5.0 release notes and changelog for the complete scope and migration notes.
2026-09-13 refresh (still v2.5.0): task-first validation now retains complete procedures and formulas explained in a single source location. Output scoring counts missing runs and checks numeric values/units; compiled Skills can carry declared scripts and text templates. Download the refreshed generic Skill ZIP · SHA256. Extract it and install the complete cangjie-skill/ directory. Existing users must download the refreshed package; check BUILD_INFO.json for the source commit and refresh date. The original tag is unchanged, so GitHub's automatic source archives do not contain this refresh.
DeepSeek Harness Plugin
cangjie-skill also provides a standalone installation package for DeepSeek Harness. The adapter layer is bundled in the Release package, so no platform-specific wrapper files are added to this repository.
After installing DeepSeek Harness, download the v2.5.0 package and checksum, verify it, then install from the local tarball:
mkdir -p ~/.dsh/packages
curl -fL "https://github.com/kangarooking/cangjie-skill/releases/download/v2.5.0/dsh-cangjie-skill-2.5.0.tgz" \
-o ~/.dsh/packages/dsh-cangjie-skill-2.5.0.tgz
curl -fL "https://github.com/kangarooking/cangjie-skill/releases/download/v2.5.0/dsh-cangjie-skill-2.5.0.tgz.sha256" \
-o ~/.dsh/packages/dsh-cangjie-skill-2.5.0.tgz.sha256
(cd ~/.dsh/packages && shasum -a 256 -c dsh-cangjie-skill-2.5.0.tgz.sha256)
dsh plugin --profile web add ~/.dsh/packages/dsh-cangjie-skill-2.5.0.tgz
dsh web
Download the DeepSeek Harness plugin (for Cangjie Skill v2.5.0) · SHA256 checksum
After starting a new task, you can say:
Use cangjie-skill to distill this book into a set of executable Agent Skills: <file path>
Why This Exists
There's a recent viral idea: distilling colleagues into AI skills. Even after someone leaves, their experience, tone, and work style can be partially replicated by AI. nuwa-skill does exactly this — creating "human skills" like an Elon Musk skill or a Warren Buffett skill. The companion darwin-skill handles automatic skill evolution.
Distilling people is valuable — nuwa-skill has already proven this. Distilling the content people have expressed systematically is a complementary dimension: a book, a long-form interview, a podcast episode, or a long Bilibili or YouTube video can contain methodologies that took the creator years to refine. Rather than imitating someone's expression style, extracting those methodologies and turning them into tools that solve real problems is equally valuable.
There's also a real pain point: you may read many books, save many videos, and listen to many podcasts, yet still struggle to apply what you learned. Content-rich long videos are published every day, are often time-sensitive, and can be difficult to absorb in one viewing; they may not be represented in an AI model's training data at all. Once this content is distilled into skills, an AI agent can invoke the knowledge in real scenarios instead of letting it gather dust in notes, bookmarks, or watch-later lists.
So cangjie-skill has one clear goal: distill every piece of high-value content worth distilling. It works not only with books, but also with videos that have subtitles or transcripts, podcasts, interviews, talks, courses, long-form articles, and document collections. Whenever content contains extractable, verifiable, and transferable methodologies, cangjie-skill can turn them into independently callable, composable, and pressure-testable AI skill packs.
For video content, we recommend using the video-downloader skill alongside cangjie-skill. Use it first to download the video, extract subtitles or audio transcripts, and collect key materials; then pass the resulting text to cangjie-skill for methodology extraction, skill construction, and pressure testing.
What Problems It Solves
- Reading many books, watching many videos, or listening to many podcasts without applying them — knowledge stays at the "read/watched/listened/saved" level and cannot be invoked in real decisions
- Summaries, notes, and organized transcripts are compression, not structured reuse — after reading or watching, you still do not know "what to use when"
- Only a small fraction of high-value content deserves to become a tool — strict filtering is needed, not wholesale inclusion
- Existing methods for reading, watching, and learning are designed for people, not agents — distillation must be execution-oriented rather than consumption-oriented
How It Works
cangjie-skill uses the RIA-TV++ pipeline to transform source texts—including books, video transcripts, podcast transcripts, and interview notes—into a reusable Capability Bundle, then compiles that source into installable skills. The process has seven stages:
Script dependencies: the deterministic scripts under
scripts/require Python 3.10+ and PyYAML (python3 -m pip install pyyaml).python3 scripts/cangjie.py doctorruns a self-check and works even when PyYAML is missing. Optional:tiktoken,jsonschema.
- Whole-Content Comprehension (Adler Analysis) — Structural, interpretive, critical, and applicability analysis using Mortimer Adler's method, producing
BOOK_OVERVIEW.md - Parallel Extraction — Five specialized extractors (frameworks, principles, cases, counter-examples, glossary) run simultaneously to pull candidate units from the source text
- Triple Verification + Promotion Gate — Check source sufficiency, executability, and task utility by candidate type. A complete procedure or formula explained once can qualify; repetition or author originality is not mandatory. References and unresolved candidates remain auditable, and standalone entrypoints are decided separately
- RIA++ Capability Construction — Verified content is structured into R / I / A1 / A2 / E / B capability cards inside
.cangjie/capabilities/ - Zettelkasten Linking — Dependencies, contrasts, and compositions are encoded in the Bundle's capability graph and shared glossary
- Pressure Testing — Test prompts including bait questions (and cross-skill confusion tests) are designed for each skill; failures go back for full reconstruction
- Deterministic Compilation and Delivery — The same Bundle compiles to
singleor compactpack, alongside a reader-facingDIGEST.md, validation results, and installable artifacts
The name RIA-TV++ breaks down as:
- RIA: From Zhao Zhou's bookmark method (Reading / Interpretation / Appropriation)
- TV: Triple Verification
- ++: Agent-oriented extensions — E (Execution) + B (Boundary)
Effect Examples
Example 1: From a Book or Long-Form Video to a Skill Toolkit
User Need
"I want to turn the core methodologies from a book or a long Bilibili/YouTube video into reusable AI skills, not just a summary."
How cangjie-skill reasons
- Check whether the source material has reusable methodological units
- Distinguish what deserves to be a standalone skill vs. background material
- Output a structured skill repository, not a single summary document
Example Output
The result will not be one summary document. It will be a multi-skill repository with
BOOK_OVERVIEW.md,INDEX.md, a reader-facingDIGEST.md, aGLOSSARY.md, multiple*/SKILL.mdfiles, andtest-prompts.jsonfor trigger testing.
Example 2: Structured Reuse, Not Compression
User Need
"I don't want a long explanatory article. I want a skill pack my agent can reuse."
How cangjie-skill reasons
- Target is structured reuse, not narrative compression
- Prioritize triggerable, composable, testable skill units
- Reject material that doesn't deserve standalone skill status
Example Output
The system produces multiple skill modules with trigger conditions, boundaries, execution patterns, and related-skill links — rather than flattening the source into one generalized note.
Generated Skill Packs
| Repository | Source | Skills |
|---|---|---|
| buffett-letters-skill | Buffett's shareholder letters (1957-2023) | 20 |
| cognitive-dividend-skill | Cognitive Dividend | 15 |
| duan-yongping-skill | Duan Yongping's Q&A (business + investment logic) | 15 |
| viral-copywriting-skill | Bao Kuan Wen An | 14 |
| copywriters-handbook-skill | The Copywriter's Handbook | 12 |
| contagious-skill | Contagious | 15 |
| influence-skill | Influence | 12 |
| 1000-true-fans-skill | 1000 True Fans | 13 |
| system-prompt-skills | 165 AI product system prompts | 15 |
| X-growth-skills | Practical X (Twitter) account launch, content growth, algorithm, engagement, and monetization resources | 15 |
| sunyuchen-skill | A single narrative writing sample labeled “sunyuchen” | 1 (7 capabilities) |
| poor-charlies-almanack-skill | Poor Charlie's Almanack | 12 |
| no-rules-rules-skill | No Rules Rules | 10 |
| huangdi-neijing-skill | Huangdi Neijing (Suwen + Lingshu) | 22 |
| first-principles-skill | First Principles | 10 |
| mao-selected-works-skill | Selected Works of Mao Zedong, Vol. 1-5 | 25 |
| qbdx-hub/buffett-letters-skill | Buffett Shareholder Letters (1957-2023) | 20 |
| qbdx-hub/wo-yu-di-tan-skill | Wo Yu Di Tan | 6 |
| qbdx-hub/mingchao-those-things-skill | Mingchao Those Things | 7 |
| qbdx-hub/sunzi-bingfa-skill | Sunzi Bingfa | 8 |
| qbdx-hub/zhouyi-skill | Zhouyi | 8 |
| qbdx-hub/high-math-vol1-ch1-skill | High Math Vol. 1 Chapter 1 | 8 |
Video Distillation
These repositories are built from subtitles or transcripts of long-form videos, courses, or video collections. They demonstrate cangjie-skill's ability to distill methodologies from non-book content.
| Repository | Source | Skills |
|---|---|---|
| ai-for-everyone-skill | Andrew Ng's AI for Everyone video course | 25 |
| loop-engineering-skill | Loop Engineering long-form video collection | 8 |
More high-value books are planned for distillation. Future candidates include, but are not limited to, The Prince.
Additional external source (included with the author's permission):
- Source repository: ace3000chao/book2startup
- Included books: The Lean Startup, The Art of War, Zhuangzi, and I Ching
- Source repository: shenqistart/book2skill
- Included books: Chanlun and The Classic of Tea
Repository Structure
cangjie-skill/
├── README.md ← You are here (default)
├── README.zh-CN.md ← Simplified Chinese version
├── README.ja.md ← Japanese version
├── LICENSE ← MIT License
├── SKILL.md ← Meta-skill definition (full execution spec for cangjie-skill)
├── methodology/ ← RIA-TV++ stage-by-stage methodology docs
├── extractors/ ← Prompt definitions for the 5 parallel extractors
└── templates/ ← SKILL.md / INDEX.md / BOOK_OVERVIEW.md templates
Ecosystem
cangjie-skill is part of a larger skill ecosystem:
- nuwa-skill — Distills people (thinking styles, expression DNA)
- cangjie-skill (this repo) — Distills books (methodologies, frameworks, principles)
- darwin-skill — Evolves any skill
They interlock: nuwa distills people, cangjie distills books, darwin keeps them evolving.
More Skills
- Buffett Letters Skill — 20 investment reasoning skills from Buffett's 60+ years of shareholder letters
- Poor Charlie's Almanack Skill — 12 decision-making and judgment skills from Charlie Munger's core thinking methods
- No Rules Rules Skill — 10 organizational design skills from Netflix's culture of freedom and responsibility
- Cognitive Dividend Skill — 15 cognitive tool skills for thinking upgrades from Cognitive Dividend
- Duan Yongping Skill — 15 business and investment skills from Duan Yongping's Q&A collection
- Viral Copywriting Skill — 14 sales copywriting and diagnosis skills from Bao Kuan Wen An
- Copywriters Handbook Skill — 12 sales copywriting, headline, and benefit translation skills from The Copywriter's Handbook
- Contagious Skill — 15 STEPPS propagation strategy and word-of-mouth diagnosis skills from Contagious
- Influence Skill — 12 persuasion psychology, compliance mechanism, and defensive judgment skills from Influence
- 1000 True Fans Skill — 13 personal branding, true fan development, and trust-based monetization skills from 1000 True Fans
- System Prompt Skills — 15 system prompt design skills distilled from 165 AI product system prompts
- X Growth Skills — 15 skills for X account launch, content, algorithms, engagement, review, and monetization
- sunyuchen-skill — A restrained narrative writing skill covering cold opens, operational detail, short dialogue, emotional restraint, and object callbacks
- Huangdi Neijing Skill — 22 methodology skills from Huangdi Neijing, including 12 from Suwen and 10 from Lingshu
- First Principles Skill — 10 skills on axiomatic reasoning, boundary-breaking innovation, and organizational refresh from First Principles
- Mao Selected Works Skill — 25 cognition, strategy, organization, and execution skills from Selected Works of Mao Zedong
- qbdx-hub Buffett Letters Skill — 20 investment and capital allocation skills from Buffett shareholder letters
- qbdx-hub Wo Yu Di Tan Skill — 6 skills on limits, suffering, writing, and self-anchoring from Wo Yu Di Tan
- qbdx-hub Mingchao Those Things Skill — 7 skills on power structure, institutional failure, and historical explanation from Mingchao Those Things
- qbdx-hub Sunzi Bingfa Skill — 8 skills on strategic judgment, resource control, and action selection from Sunzi Bingfa
- qbdx-hub Zhouyi Skill — 8 skills on situational diagnosis, timing, and advance-retreat boundaries from Zhouyi
- qbdx-hub High Math Vol. 1 Chapter 1 Skill — 8 learning skills on limits, infinitesimals, and continuity from High Math Vol. 1 Chapter 1
External Source (included with the author's permission):
- book2startup — includes skills distilled from The Lean Startup, The Art of War, Zhuangzi, and I Ching
- book2skill — includes AI-Agent skills distilled from Chanlun and The Classic of Tea
Contributors
Thank you to the following contributors for expanding the cangjie-skill ecosystem:
- shenqistart — contributed the external book2skill reference and additions across the Chinese, English, and Japanese READMEs
- qbdx-hub — contributed 6 Cangjie whole-book/chapter distillation example repositories and additions across the Chinese, English, and Japanese READMEs
About the Author
袋鼠帝 kangarooking — AI blogger and indie developer. Creator of the AI Top WeChat Official Account “袋鼠帝 AI 客栈”
Volcengine Navigation KOL, Baidu Qianfan Developer Ambassador, GLM Evangelist, Trae Kunming's First Fellow
| Platform | Link |
|---|---|
| 𝕏 Twitter | https://x.com/aikangarooking |
| Xiaohongshu | https://xhslink.com/m/5YejKvIDBbL |
| Douyin | https://v.douyin.com/hYpsjphuuKc |
| WeChat Official Account | 袋鼠帝 AI 客栈 |
| WeChat Video Channel | AI 袋鼠帝 |
WeChat Official Account「袋鼠帝 AI 客栈」QR code:
If you also want to distill methodologies from books, long-form videos, podcasts, and courses into callable Agent Skills, join the cangjie-skill WeCom community group:
⭐ Star History
If this project has helped you, please star it.
License
MIT License. See LICENSE.
Cangjie Skill
把书、长视频、播客里的方法论，蒸馏成可调用的 AI Skills
读完、看完、听完之后，带走一套能调用的方法论。
66 秒了解仓颉 Skill
https://github.com/user-attachments/assets/87a2cf7b-2114-48aa-aecd-2640a667db40
官方网站
官网提供 Skill Packs 可视化浏览、从零开始的使用教程、Skill 详情与生态共建提交入口。GitHub 仓库仍是 cangjie-skill 代码、方法论和模板的唯一来源，官网负责展示、导航与使用指引。
v2.5.0 更新重点
- Capability Bundle 成为唯一事实源：先生成稳定的能力卡和元数据，再编译安装产物。
- 两种确定性交付模式：可编译为单路由入口（
single），或「路由入口 + 少量晋级独立 Skill」的紧凑包（pack）。 - 统一本地工具链：
scripts/cangjie.py覆盖诊断、编译、输出重规划、增量更新、修复、回滚、评测和基准测试。 - 更安全的演进机制：包含内容寻址预处理、源文档 diff、影响分析、事务性补丁、手改检测、快照和回滚。
- Registry v2 与官网支持：可展示输出模式和能力数量，同时保持对 Registry v1 条目的兼容。
完整范围、兼容性和验证方式见 v2.5.0 发布说明 与 Changelog。
2026-09-13 补充优化（仍为 v2.5.0）：三重验证改为来源充分性、可执行性和任务增益，工具书中只在一处讲透的流程或公式也可入选；输出评分不再漏算缺失样本，支持数值/单位检查；编译产物可携带显式声明的脚本与文本模板。下载通用 Skill ZIP · SHA256。解压后安装完整 cangjie-skill/ 目录。已安装用户请重新下载补包，通过 BUILD_INFO.json 核对源码提交与补包日期。原始标签保持不变，GitHub 自动生成的 Source code 压缩包仍是首次发布源码。
DeepSeek Harness 插件
cangjie-skill 同时提供独立的 DeepSeek Harness 插件安装包。适配层封装在 Release 安装包中，不会向本仓库加入特定平台的包装文件。
已安装 DeepSeek Harness 后，下载 v2.5.0 安装包与校验文件，校验通过后再从本地包安装：
mkdir -p ~/.dsh/packages
curl -fL "https://github.com/kangarooking/cangjie-skill/releases/download/v2.5.0/dsh-cangjie-skill-2.5.0.tgz" \
-o ~/.dsh/packages/dsh-cangjie-skill-2.5.0.tgz
curl -fL "https://github.com/kangarooking/cangjie-skill/releases/download/v2.5.0/dsh-cangjie-skill-2.5.0.tgz.sha256" \
-o ~/.dsh/packages/dsh-cangjie-skill-2.5.0.tgz.sha256
(cd ~/.dsh/packages && shasum -a 256 -c dsh-cangjie-skill-2.5.0.tgz.sha256)
dsh plugin --profile web add ~/.dsh/packages/dsh-cangjie-skill-2.5.0.tgz
dsh web
下载 DeepSeek Harness 插件（适配仓颉 Skill v2.5.0） · SHA256 校验文件
启动新任务后，可以直接说：
请用 cangjie-skill 把这本书蒸馏成一组可执行的 Agent Skills：<文件路径>
为什么做这件事
最近有一个很火的 idea：把同事蒸馏成 skill。即便一个人离职了，他的经验、语气、工作方式都会被 AI 一定程度替代。nuwa-skill 就是做这件事的——创造"人类 skill"，比如马斯克 skill、巴菲特 skill。配套的 darwin-skill 负责让这些 skill 自动进化。
蒸馏人很有价值——nuwa-skill 已经证明了这一点。而蒸馏人系统性表达过的内容，则是另一个维度的补充：一本书、一场长访谈、一期播客、一个 B 站或 YouTube 长视频，都可能沉淀了作者花很长时间打磨出来的方法论。比起模仿一个人的表达方式，把他系统性输出的方法论拆出来、变成可以帮人解决实际问题的工具，同样是很有价值的事。
而且还有一个真实的痛点：你可能看了很多书、收藏了很多视频、听过很多播客，但就是运用不起来。尤其是各大平台每天都有大量干货长视频，时效性很强，内容又很长；它们往往不可能已经被 AI 训练过，也很难靠一次观看完整吸收。把这些内容蒸馏成 skill 之后，AI agent 可以帮你在真实场景中调用这些知识，而不是让它们躺在笔记、收藏夹或稍后再看列表里落灰。
所以 cangjie-skill 的目标很明确：蒸馏所有值得蒸馏的高价值内容。它不只适用于书，也适用于有字幕/转写文本的视频、播客、访谈、演讲、课程、长文和资料集。只要内容里存在可抽取、可验证、可迁移的方法论，就可以用 cangjie-skill 把它变成一套可独立调用、可组合使用、可压力测试的 AI skill 工具包。
如果要蒸馏视频内容，建议搭配 video-downloader skill 一起使用：先用它下载视频、提取字幕/音频转写和关键素材，再把得到的文本内容交给 cangjie-skill 做方法论抽取、skill 化和压力测试。
它解决了什么问题
- 看了很多书、视频、播客但用不起来——知识停留在"看过/听过/收藏过"层面，无法在真实决策中被调用
- 摘要、笔记、字幕整理只是压缩，不是结构化复用——读完/看完还是不知道"什么时候该用什么"
- 高价值内容里真正值得变成工具的内容只有一小部分——需要严格的筛选而不是照单全收
- 现有的阅读/观看/听课方法论都是给人看的，不是给 agent 用的——需要面向执行而非面向消费的蒸馏方法
它是怎么工作的
cangjie-skill 使用 RIA-TV++ 流水线，先把书籍、视频转写、播客文字稿、访谈记录等原始文本变成可复用的 Capability Bundle，再编译为可安装的 skill。整个过程分七个阶段：
脚本依赖：
scripts/下的确定性脚本需要 Python 3.10+ 与 PyYAML（python3 -m pip install pyyaml）。缺 PyYAML 时python3 scripts/cangjie.py doctor自检仍可运行并给出安装指引。可选依赖：tiktoken、jsonschema。
- 整体内容理解（Adler 分析）——借鉴 Mortimer Adler 的分析阅读法，对整份内容做结构、解释、批判、应用四步拆解，产出
BOOK_OVERVIEW.md - 并行提取——同时派 5 个专项提取器（框架、原则、案例、反例、术语），从原文中提取候选方法论单元
- 三重验证 + 晋级门——按候选类型检查来源充分性、可执行性和任务增益；单处完整机制也可入选，不强求重复出现或作者独创。参考、待核查和淘汰项分别留痕，独立入口由后续晋级门决定
- RIA++ 能力卡构造——将验证通过的内容按 R / I / A1 / A2 / E / B 写入
.cangjie/capabilities/ - Zettelkasten 链接——将依赖、对比和组合关系写入 Bundle 的能力图和共享术语表
- 压力测试——为每个 skill 设计包含诱饵题的测试用例（含跨 skill 混淆测试），未通过的回炉重做
- 确定性编译与交付——同一份 Bundle 可编译为
single或紧凑pack，同时交付DIGEST.md、校验结果和可安装产物
RIA-TV++ 这个名字拆开看：
- RIA：来自赵周《这样读书就够了》的便签拆书法（Reading / Interpretation / Appropriation）
- TV：Triple Verification，三重验证
- ++：面向 agent 执行的扩展——E（Execution 可执行步骤）+ B（Boundary 边界）
效果示例
示例 1：从一本书/长视频到一套 skill 工具包
用户需求
"我想把一本书或一个 B 站/YouTube 长视频里的核心方法论抽成可复用的 AI skills，而不是只做摘要。"
cangjie-skill 如何判断
- 先看源材料是否存在可重复调用的方法论单元
- 再区分哪些内容适合做独立 skill，哪些只适合做候选或背景
- 最后输出结构化 skill 仓库，而不是一篇总结文章
最终输出示例
输出将不是一个单文件摘要，而是一个多 skill 仓库：包含
BOOK_OVERVIEW.md作为全局理解，INDEX.md作为技能地图，DIGEST.md作为面向读者的精华长文，GLOSSARY.md作为术语词典，若干*/SKILL.md作为独立模块，以及test-prompts.json用于验证触发场景。
示例 2：不是压缩，是结构化复用
用户需求
"我不希望这份内容只变成一个很长的说明文，我想要可以在 agent 里复用的技能包。"
cangjie-skill 如何判断
- 判断目标不是内容总结，而是结构化复用
- 优先生成可触发、可组合、可测试的 skill 单元
- 对没有独立价值的内容进行淘汰，不强行保留
最终输出示例
系统会把内容拆成多个带触发条件、适用边界、使用方式和关联关系的 skills，而不是把整份内容压缩成一篇泛化总结。
已生成的 skill packs
| 仓库 | 来源 | Skills 数 |
|---|---|---|
| buffett-letters-skill | 巴菲特致股东的信（1957-2023） | 20 |
| cognitive-dividend-skill | 《认知红利》 | 15 |
| duan-yongping-skill | 段永平投资问答录（商业逻辑+投资逻辑） | 15 |
| viral-copywriting-skill | 《爆款文案》 | 14 |
| copywriters-handbook-skill | 《文案创作完全手册》 | 12 |
| contagious-skill | 《疯传》 | 15 |
| influence-skill | 《影响力》 | 12 |
| 1000-true-fans-skill | 《1000个铁粉》 | 13 |
| system-prompt-skills | 165 个 AI 产品系统提示词 | 15 |
| X-growth-skills | X（Twitter）起号、内容增长、算法、互动与变现实战资料集 | 15 |
| sunyuchen-skill | “sunyuchen” 单篇叙事写作样本 | 1（7 个能力） |
| poor-charlies-almanack-skill | 《穷查理宝典》 | 12 |
| no-rules-rules-skill | 《不拘一格：网飞的自由与责任工作法》 | 10 |
| huangdi-neijing-skill | 《黄帝内经》（素问+灵枢） | 22 |
| first-principles-skill | 《第一性原理》 | 10 |
| mao-selected-works-skill | 《毛泽东选集》第 1-5 卷 | 25 |
| qbdx-hub/buffett-letters-skill | 沃伦·巴菲特 1957-2023 年致股东信 | 20 |
| qbdx-hub/wo-yu-di-tan-skill | 史铁生《我与地坛》 | 6 |
| qbdx-hub/mingchao-those-things-skill | 当年明月《明朝那些事儿》 | 7 |
| qbdx-hub/sunzi-bingfa-skill | 《孙子兵法》 | 8 |
| qbdx-hub/zhouyi-skill | 《周易》 | 8 |
| qbdx-hub/high-math-vol1-ch1-skill | 高等数学上册第一章 | 8 |
视频蒸馏区
这些仓库来自长视频、课程或视频合集的字幕/转写文本，适合展示 cangjie-skill 对非书籍内容的方法论蒸馏能力。
| 仓库 | 来源 | Skills 数 |
|---|---|---|
| ai-for-everyone-skill | 吴恩达《AI for Everyone / 给所有人的 AI 入门课》视频课程 | 25 |
| loop-engineering-skill | Loop Engineering 长视频合集 | 8 |
后续计划蒸馏更多高价值书籍。候选书单包括但不限于：君主论。
补充外部来源（经对方作者同意引入）：
- 来源仓库：ace3000chao/book2startup
- 书目包括：《精益创业》《孙子兵法》《庄子》《易经》
- 来源仓库：shenqistart/book2skill
- 书目包括：《缠论》《茶经》
仓库结构
cangjie-skill/
├── README.md ← English version (default)
├── README.zh-CN.md ← 你正在看的
├── README.ja.md ← 日本語版
├── LICENSE ← MIT License
├── SKILL.md ← 元 skill 定义（cangjie-skill 的完整执行规范）
├── methodology/ ← RIA-TV++ 各阶段的方法论文档
├── extractors/ ← 5 个并行提取器的 prompt 定义
└── templates/ ← SKILL.md / INDEX.md / BOOK_OVERVIEW.md 模板
生态
cangjie-skill 是一个更大的 skill 生态的一部分：
- nuwa-skill — 蒸馏人（思维方式、表达 DNA）
- cangjie-skill（本仓库）— 蒸馏书（方法论、框架、原则）
- darwin-skill — 进化任意 skill
三者咬合：nuwa 蒸馏人，cangjie 蒸馏书，darwin 让它们持续进化。
More Skills
- Buffett Letters Skill — 巴菲特 60+ 年致股东信的 20 个投资判断 skill
- Poor Charlie's Almanack Skill — 查理·芒格核心思维方法的 12 个决策与判断 skill
- No Rules Rules Skill — 网飞自由与责任文化的 10 个组织设计 skill
- Cognitive Dividend Skill — 《认知红利》思维升级的 15 个认知工具 skill
- Duan Yongping Skill — 段永平投资问答录的 15 个商业与投资 skill
- Viral Copywriting Skill — 《爆款文案》的 14 个销售型文案写作与诊断 skill
- Copywriters Handbook Skill — 《文案创作完全手册》的 12 个销售型文案、标题与卖点转化 skill
- Contagious Skill — 《疯传》的 15 个 STEPPS 传播策略与口碑诊断 skill
- Influence Skill — 《影响力》的 12 个说服心理、顺从机制与防御判断 skill
- 1000 True Fans Skill — 《1000个铁粉》的 13 个个人品牌、铁粉养成与信任变现 skill
- System Prompt Skills — 从 165 个 AI 产品系统提示词蒸馏出的 15 个 system prompt 设计 skill
- X Growth Skills — X 起号、内容、算法、互动、复盘与变现的 15 个运营 skill
- sunyuchen-skill — 覆盖数字冷开场、后勤细节、短对话、情绪留白与物件回环的克制叙事写作 skill
- Huangdi Neijing Skill — 《黄帝内经》素问12+灵枢10共22个思维方法 skill
- First Principles Skill — 《第一性原理》的 10 个认知拆解、破界创新与组织刷新 skill
- Mao Selected Works Skill — 《毛泽东选集》第 1-5 卷的 25 个认知、战略、组织与执行方法 skill
- qbdx-hub Buffett Letters Skill — 沃伦·巴菲特 1957-2023 年致股东信的 20 个投资与资本配置 skill
- qbdx-hub Wo Yu Di Tan Skill — 《我与地坛》的 6 个限制、苦难、写作与自我安放 skill
- qbdx-hub Mingchao Those Things Skill — 《明朝那些事儿》的 7 个权力结构、制度失灵与历史表达 skill
- qbdx-hub Sunzi Bingfa Skill — 《孙子兵法》的 8 个战略判断、资源控制与行动选择 skill
- qbdx-hub Zhouyi Skill — 《周易》的 8 个处境诊断、时位判断与进退边界 skill
- qbdx-hub High Math Vol. 1 Chapter 1 Skill — 高等数学上册第一章的 8 个极限、无穷小与连续性学习 skill
- book2startup — 经作者同意引入的外部来源，包含《精益创业》《孙子兵法》《庄子》《易经》相关 skills
- book2skill — 经作者同意引入的外部来源，包含《缠论》《茶经》相关 AI-Agent skills
贡献者
感谢以下贡献者对 cangjie-skill 生态的补充：
- shenqistart — 贡献外部 book2skill 引用，并补充中英日 README 更新
- qbdx-hub — 贡献 6 个 Cangjie 整书/章节蒸馏示例仓库，并补充中英日 README 引用
关于作者
袋鼠帝 kangarooking — AI 博主，独立开发者。AI Top 公众号「袋鼠帝 AI 客栈」主理人
火山引擎领航 KOL，百度千帆开发者大使，GLM 布道师，Trae 昆明第一任 Fellow
| 平台 | 链接 |
|---|---|
| 𝕏 Twitter（袋鼠帝） | https://x.com/aikangarooking |
| 小红书（袋鼠帝） | https://xhslink.com/m/5YejKvIDBbL |
| 抖音（袋鼠帝） | https://v.douyin.com/hYpsjphuuKc |
| 公众号 | 袋鼠帝 AI 客栈 |
| 视频号 | AI 袋鼠帝 |
微信公众号「袋鼠帝 AI 客栈」二维码：
如果你也想把书、长视频、播客、课程里的方法论蒸馏成可调用的 Agent Skills，欢迎加入 cangjie-skill 企微交流群：
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License
MIT License. See LICENSE.