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Life Meaning

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kangarooking
life-meaning

当用户问「活着的意义是什么/找不到方向/虚无感/该为什么努力」时调用。 核心理念: 生命没有外在赋予的意义(宇宙尺度一切会消失); 意义=个人创造+愿意为之受苦; 拥抱死亡是意义的入口。 不适用于: 急性自杀风险(先紧急求助)。 Triggers: 生命的意义/虚无/找不到意义/为什么活着/meaning/purpose/nihilism

Overview

Publisherkangarooking
Repositorycangjie-skill
Skill namelife-meaning
Stars
10.2K
Forks
1.2K
Bundled files
2
LicenseMIT
Links
  • 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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by kangarooking on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kangarooking/cangjie-skill.git /tmp/cangjie-skill
mkdir -p .claude/skills
cp -r /tmp/cangjie-skill/books/naval-almanack-skill/life-meaning .claude/skills/life-meaning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Life Meaning 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 Life Meaning 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 Life Meaning 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.

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?

  1. 虚无/无意义感:「活着到底为了什么」
  2. 中年/重大转折:「人生下半场往哪走」
  3. 重大失去/失败后:「一切还有意义吗」
  4. 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

  • 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
  • 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)

  1. 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
  2. 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
  3. 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」
  4. 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-buddhismacceptance

审计信息

  • 验证通过: V1 ✓ / V2 ✓ / V3 ✓ (v19)
  • 测试通过率: 见 test-results.md
  • 蒸馏时间: 2026-08-01

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 Life Meaning AI skill do?

当用户问「活着的意义是什么/找不到方向/虚无感/该为什么努力」时调用。 核心理念: 生命没有外在赋予的意义(宇宙尺度一切会消失); 意义=个人创造+愿意为之受苦; 拥抱死亡是意义的入口。 不适用于: 急性自杀风险(先紧急求助)。 Triggers: 生命的意义/虚无/找不到意义/为什么活着/meaning/purpose/nihilism

Why use Life Meaning on TypingMind?

Because you install it once and use it with any model. Life Meaning 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 Life Meaning in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/life-meaning. 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 Life Meaning?

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 Life Meaning?

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

Is the Life Meaning AI skill free?

Yes. It is published on GitHub by kangarooking 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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