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 life-meaninggit 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/life-meaning)<a href="https://agentmods.dev/skills/kangarooking/cangjie-skill/life-meaning"><img src="https://agentmods.dev/badge/skills/kangarooking/cangjie-skill/life-meaning/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/life-meaning"><img src="https://agentmods.dev/badge/skills/kangarooking/cangjie-skill/life-meaning.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 | $0.00118 | $0.01586 |
| Opus 5 | $0.00059 | $0.00793 |
| Sonnet 5 | $0.00024 | $0.00317 |
| Haiku 4.5 | $0.00012 | $0.00159 |
Grade A, and why
life-meaning 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 11d 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
生命意义:三个答案与拥抱死亡
R — 原文 (Reading)
这是个大问题。因为这是一个大问题,我将给你三个答案。……答案一:这是私人的。你必须找到属于你自己的意义。……答案二:生命没有意义。……可以归结为,你必须创造自己的意义。……答案三:……我们作为生命系统所做的事情正在加速达到这种状态(宇宙的热死亡)。
— 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第二章·幸福
I — 方法论骨架 (Interpretation)
「生命的意义是什么」是无边界问题,Naval 给出三层递进答案: ① 私人的——意义只能自己找;任何人(包括佛陀)给你的答案听起来都像废话,重要的不是答案而是带着问题挖掘; ② 没有意义——宇宙尺度下,你做的事都会褪色、人类和文明都会消失,所以「你必须创造自己的意义」; ③ 熵的意义——生命是局部熵减系统,在加速宇宙熵增/热死亡;你的创造(艺术/家庭/科学)在宇宙尺度上是在把万物推向「最终成为一个东西」。 两个推论:
- 意义=愿意受苦——「你真实的履历只是你痛苦的目录」,有意义的事都是你有所牺牲的事;
- 拥抱死亡——承认必死(而不是逃避)反而带来意义与平静;生命如黑夜中的萤火虫一闪,所以用最积极的方式演绎它。
A1 — 书中的应用 (Past Application)
案例 1: 从追求成功到内在之路
- 问题: 获得物质成功后仍不满足
- 方法论的使用: 意识到「我周围的人已经取得了类似的成功……似乎没有那么快乐」
- 结论: 「所有真正的成功是内在的」
- 结果: 走上修炼内在自我的路
案例 2: 有孩子后意义转移
- 问题: 意义的承载物在哪里
- 方法论的使用: 成为父母后「宇宙中最重要的东西从你身体里转移到孩子的身体里」
- 结论: 价值观变得更不自私
- 结果: 意义从自我实现扩展到传承
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 虚无/无意义感:「活着到底为了什么」
- 中年/重大转折:「人生下半场往哪走」
- 重大失去/失败后:「一切还有意义吗」
- 面对死亡恐惧:「我害怕变老/死亡」
语言信号
- "生命的意义/活着的意义"
- "我觉得一切都没意义"
- "人生该怎么过/为什么努力"
- "meaning of life / nihilism / purpose / mortality"
与相邻 skill 的区分
- 与
rational-buddhism的区别: 理性佛教给「信什么」的标准;本 skill 给「为何活」的答案 - 与
acceptance的区别: 拥抱死亡是接受的终极版,但本 skill 的落点是意义而非处境
E — 可执行步骤 (Execution)
-
承认宇宙尺度
- 完成标准: 接受「你做的事最终都会消失」——检查这是否减轻了「必须正确/必须留名」的焦虑
- 判停条件: 若出现急性自杀念头/严重抑郁,立即转介专业危机干预,停止本流程
-
找出愿意为之受苦的事
- 完成标准: 列出「你真实履历中最有意义的 3 件事」,确认它们都包含牺牲/困难
-
创造你的意义版本
- 完成标准: 用一句话写下你的意义主张(可以是「我是来看戏的/我在跳自我实现的舞蹈/为家人而活」),标为「我编造的但我要的」
-
把死亡请进决策
- 完成标准: 每月一次自问「如果只剩一年,我会怎么过」并据此刻意调整一项时间分配
B — 边界 (Boundary) ★
不要在以下情况使用此 skill
- 急性心理危机/自杀风险(第一优先级是专业帮助,不是哲学)
- 用户在寻求传统宗教答案(尊重信仰,不推销虚无主义)
作者在书中警告的失败模式
- 逃避死亡: 对永生的追求是很多徒劳奋斗的根源;「热门的提示:没有遗产」
- 把意义外包: 外在强加的目的(「社会需要我去做X」)不会让你快乐
作者的盲点 / 时代局限
- 「无意义」叙事建立在无神论/物理主义世界观上,对信仰者不成立
- 熵增意义论是个人整合,非严谨科学结论
容易混淆的邻近方法论
acceptance: 拥抱死亡与接受现实共享「放下」的动作,但落点不同
相关 skills (阶段 3 定稿)
- composes-with:
rational-buddhism、acceptance
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.
- 11d ago First seen · 120 lines · 118 tokens per session scan A 17e3d0df776a
life-meaning is a skill published in the GitHub repository kangarooking/cangjie-skill (9,795 stars, last pushed 5d ago), licensed MIT. It adds 118 tokens to every session and 1,586 once invoked, about $0.0006 per session on Opus 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
purpose-driven-leadership
Helps leaders connect their work and their teams' work to authentic meaning, rethink outdated notions of dedication, anchor in purpose over perception, and lead with integrity as a continuous practice. Use when experiencing career malaise or questioning professional direction, noticing disengagement on a team…
hyperframes-faceless-explainer
Turn arbitrary text — an article, notes, a topic, a brief — into a faceless explainer video using HyperFrames. Use when the user wants a topic explainer, concept breakdown, how-to, or listicle with no product/website to capture. Every visual is invented per scene (typography, abstract graphics, diagrams, data-viz).…
skill-builder
Use when automatically detect source types and build AI skills using Skill Seekers. Use when the user wants to create skills from documentation, repos, PDFs, videos, or other knowledge sources.
us-program-research
This skill should be used when the user needs structured research and ranking of US academic programs (PhD, Master.
legend-lore
Use this spell when you need everything knowable about a person, company, library, framework, concept, or system — not a quick answer, but a deep dossier.
comprehend-languages
Use this skill when the words are legible but the meaning is trapped inside an unfamiliar dialect, format, or community.