Cangjie Skill is a system that turns methods from books, long videos, podcasts, and other source material into executable skills for AI agents. It helps users package knowledge into callable workflows, using the repository's code, methods, and templates; catalogue add-ons relate to these agent skills.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add kangarooking/cangjie-skill --skill productize-yourselfgit clone --depth 1 https://github.com/kangarooking/cangjie-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kangarooking/cangjie-skill/productize-yourself)<a href="https://agentmods.dev/skills/kangarooking/cangjie-skill/productize-yourself"><img src="https://agentmods.dev/badge/skills/kangarooking/cangjie-skill/productize-yourself/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kangarooking/cangjie-skill/productize-yourself"><img src="https://agentmods.dev/badge/skills/kangarooking/cangjie-skill/productize-yourself.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00127 | $0.01635 |
| Opus 5.5 | $0.00051 | $0.00654 |
| Sonnet 5.5 | $0.00025 | $0.00327 |
| Haiku 4.5 | $0.00013 | $0.00163 |
Grade A, and why
productize-yourself scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
产品化你自己
R — 原文 (Reading)
“产品化”和“你自己”。“你自己”具有独特性，“产品化”就有杠杆点。“你自己”有责任感，“产品化”有特殊知识。
— 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第一章·财富
I — 方法论骨架 (Interpretation)
把「如何不靠运气致富」压缩成一个定位公式：特殊知识 + 责任感 + 杠杆 → 产品化你自己。 「你自己」= 不可培训的特殊知识（来自 DNA、成长环境和个人回应的独特组合），它让你没有竞争者； 「产品化」= 用杠杆（人力/资本/代码/媒体）把这份独特规模化，让投入产出脱钩。 判断方向对不对，持续自问两句：这真的是我在投射的自己吗？我在产品化它、规模化它吗？ 特殊知识有四个识别信号：① 不能通过培训获得（否则会被替代）；② 对你像玩、对别人像工作； ③ 通常靠好奇心与学徒制发现，而非热门行业；④ 别人很难和你竞争「做你自己」。
A1 — 书中的应用 (Past Application)
案例 1: 母亲在厨房预言他做生意
- 问题: 作者十五六岁想当天体物理学家，方向与天赋错位
- 方法论的使用: 母亲作为旁观者指出他真正的特殊知识是「做生意」；作者后来回看自己的组合是销售技巧+分析能力+玩技术
- 结论: 特殊知识往往是身边人先看到、你自己不当回事的天然倾向
- 结果: 作者沿着这套组合做风投/创业，而不是当科学家
案例 2: 乔·罗根与新一代媒体富豪
- 问题: 普通人如何不靠资本放大努力
- 方法论的使用: 用代码/媒体（零边际复制成本）把自己的独特内容规模化
- 结论: 独特性+媒体杠杆=新富来源
- 结果: 播客/视频/代码成为可复制资产，睡觉时仍在工作
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 纠结职业/副业/自由职业方向：「我不知道该做什么」「选哪个赛道」
- 担心被替代：「我的工作会不会被 AI/年轻人取代」
- 想提升不可替代性：「怎么建立自己的护城河/独特优势」
- 准备推出个人产品或内容：「做什么内容/产品别人抢不走」
语言信号
- "帮我找找我的特殊知识/独特优势"
- "我不想再做可替代的工作"
- "副业/自媒体/自由职业选什么方向"
- "how to find my moat / special knowledge / what should I do"
与相邻 skill 的区分
- 与
wealth-structure的区别: 本 skill 解决「你是谁、做什么」；wealth-structure 解决「怎么把价值变成资产结构」 - 与
reading-metaskill的区别: 阅读是培养特殊知识的手段；本 skill 是特殊知识本身的使用框架
E — 可执行步骤 (Execution)
-
盘点特殊知识信号
- 完成标准: 列出 3–5 个「对你像玩、对别人像工作」的事，并问身边人「你觉得我最擅长什么」交叉验证
- 判停条件: 若找到的事可以被培训/被替代，回到步骤 1 继续找
-
检验独特性 × 可规模化
- 完成标准: 对每个候选回答「我是唯一/少数能做到这个的吗？」与「它能不能被代码/媒体/产品放大？」
-
定义最小产品并发布
- 完成标准: 30 天内发布一个最小作品（一篇文章/一个工具/一个内容系列），公开署名
-
按反馈重新定义你的工作
- 完成标准: 每季度重问「我是否做到了世界最好？如果没有，调整『我做什么』的定义」，直到成立
B — 边界 (Boundary) ★
不要在以下情况使用此 skill
- 用户已有明确方向、只需要执行细节（此时应给执行建议而非定位分析）
- 纯求职场景（写简历/投递不是本 skill 职责）
作者在书中警告的失败模式
- 盲目追热点: 热门行业可以培训出替代者；「如果他们能训练你们去做，那么他们接下来也会训练计算机去做」
- 与别人竞争=复制别人: 「通过真实性避开竞争」「不要复制」
作者的盲点 / 时代局限
- 作者是硅谷/风投视角，默认有资本网络和早期入场条件；特殊知识对无资本、无技能起点并不平等
- 「每个人都能找到特殊知识」未被证明；找得到≠市场会定价
容易混淆的邻近方法论
wealth-structure: 那是「怎么把特殊知识变成资产」的下游问题
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 122 lines · 127 tokens per session scan A 507851329335
productize-yourself is a skill published in the GitHub repository kangarooking/cangjie-skill (11,353 stars, last pushed 14d ago), licensed MIT. It adds 127 tokens to every session and 1,635 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
good-business
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capability-circle
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concentrated-investing
An investing framework about putting a larger share of money into a small number of companies you understand well. It distinguishes concentrated investing from broad diversification used for general wealth management.
dcf-valuation
An investing method for estimating whether a company's share price is cheap by thinking about its future cash earnings. DCF means discounted cash flow, a way to value future money in today's terms.
equanimity-mindset
An investing skill for regaining calm and making decisions based on a company’s long-term cash flows when price changes trigger fear, greed, or comparison with others.
ownership-mindset
An investing mindset that treats buying a share as owning part of a company, rather than betting on its price movements.