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Happiness Skill

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kangarooking
happiness-skill

当用户问「怎么才能更幸福/为什么得到了还不满足/怎么减少焦虑」时调用。 核心理念: 幸福是缺憾感清空的默认状态, 是可训练的技能; 欲望是与自己的契约(得到前不快乐), 同时只留一个重大欲望; 活在当下。 不适用于: 临床抑郁等需要专业治疗的场景(本书方法不能替代医疗)。 Triggers: 幸福/不快乐/欲望/焦虑/知足/活在当下/happiness/desire/anxiety

Overview

Publisherkangarooking
Repositorycangjie-skill
Skill namehappiness-skill
Stars
10.2K
Forks
1.2K
Bundled files
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LicenseMIT
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Skill sourceRepository
  • 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 Happiness Skill 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/happiness-skill .claude/skills/happiness-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Happiness Skill 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 Happiness Skill 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 Happiness Skill 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.

幸福技能

R — 原文 (Reading)

现在，我相信幸福其实是一种默认状态。当你消除生命中的缺憾感时，幸福就在那里。……欲望是你与自身定下的契约，直到你得到你想要的之前，你都不会快乐。

— 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第二章·幸福

I — 方法论骨架 (Interpretation)

幸福不是要添加的积极情绪，而是缺憾感清空后自动浮现的默认状态——像孩子一样沉浸当下。 因此通往幸福的路线是「减法」： ① 识别欲望契约——每个欲望都是「得到前不快乐」的合同，一整天签太多份就一整天不快乐； ② 同时只保留一个重大欲望——给你目标和动力，两个以上就分心； ③ 活在当下——思维流向未来（妄想）或过去（悔恨）时幸福感最低； ④ 把幸福当技能训练——冥想、习惯、同伴、接受练习，基线可像肌肉一样逐步提高（作者 2/10→9/10）。 判断幸福的标准不是快乐感而是平和：一个快乐的人不是一直快乐的人，而是能不失内心平和地诠释事情的人。

A1 — 书中的应用 (Past Application)

案例 1: 从 2/10 到 9/10

  • 问题: 十年前自评快乐 2/10–3/10，且不重视快乐
  • 方法论的使用: 把幸福当最重要的事，用技巧系统培养（冥想/欲望管理/接受/习惯）
  • 结论: 「幸福是一种技能，是你做出的一种选择」
  • 结果: 今日 9/10，且作者强调金钱只占其中很小部分

案例 2: 欲望是痛苦的轴心

  • 问题: 想要的东西越来越多，越来越不满足
  • 方法论的使用: 意识到「我试图在我生活中的任何时候都不拥有多于一个的大欲望」
  • 结论: 欲望=选择不幸的契约，清醒地选择它
  • 结果: 欲望从自动发生变成受控选择

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 情绪低谷：「我为什么不快乐」
  2. 欲望失控：「想要的东西永远填不满」
  3. 焦虑反刍：「脑子停不下来，总担心未来/悔恨过去」
  4. 目标达成后空虚：「得到之后反而更空虚」

语言信号

  • "怎么才能更幸福/快乐"
  • "我总是不满足/焦虑"
  • "欲望太多怎么办"
  • "how to be happy / why am I unhappy / desires"

与相邻 skill 的区分

  • 与 acceptance 的区别: 本 skill 是幸福总体框架；接受是其中一种核心技术
  • 与 monkey-mind-meditation 的区别: 冥想是工具，本 skill 是目标定义

E — 可执行步骤 (Execution)

  1. 清点欲望契约

    • 完成标准: 写下当前所有「在得到前不快乐」的欲望，标出其中 1 个重大欲望，其余降级或删除

  2. 检查时间流向

    • 完成标准: 记录 1 天里花在未来妄想/过去悔恨/当下体验的时间比例，找出最大漏点

  3. 选择一个幸福训练动作

    • 完成标准: 从冥想/习惯替换/同伴选择/接受练习中选 1 项，定为每日最小习惯
    • 判停条件: 若用户有临床抑郁症状（持续 2 周以上低情绪），提示寻求专业帮助并停止本流程

  4. 每周复盘幸福基线

    • 完成标准: 每周自评 1–10 并记录，确认基线在缓慢上升

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 临床抑郁/焦虑障碍（本 skill 不替代医疗；作者方法建立在无严重心理疾病的前提上）
  • 物质匮乏或安全危机场景（先解决生存，再谈幸福技能）

作者在书中警告的失败模式

  • 把幸福当积极思维: 「每个积极的想法基本上都包含着一个消极的想法」
  • 追求幸福反失幸福: 「如果我执著于一种感觉……我就是在放弃那种幸福」

作者的盲点 / 时代局限

  • 「幸福=选择」忽略生物性因素（抑郁/激素/疾病）
  • 幸福可训练的证据是作者个人经验（n=1），不具普遍统计效力

容易混淆的邻近方法论

  • acceptance: 接受是幸福的下游技术

相关 skills (阶段 3 定稿)

  • composes-with: acceptance、monkey-mind-meditation、screen-detox、game-selection

审计信息

  • 验证通过: V1 ✓ / V2 ✓ / V3 ✓ (v10)
  • 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 Happiness Skill AI skill do?

当用户问「怎么才能更幸福/为什么得到了还不满足/怎么减少焦虑」时调用。 核心理念: 幸福是缺憾感清空的默认状态, 是可训练的技能; 欲望是与自己的契约(得到前不快乐), 同时只留一个重大欲望; 活在当下。 不适用于: 临床抑郁等需要专业治疗的场景(本书方法不能替代医疗)。 Triggers: 幸福/不快乐/欲望/焦虑/知足/活在当下/happiness/desire/anxiety

Why use Happiness Skill on TypingMind?

Because you install it once and use it with any model. Happiness Skill 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 Happiness Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/cangjie-skill/tree/main/books/naval-almanack-skill/happiness-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 Happiness Skill?

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 Happiness Skill?

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

Is the Happiness Skill 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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