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Reading Metaskill

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kangarooking
reading-metaskill

当用户想养成阅读习惯、问「读什么书/怎么读」「如何学习新领域/怎么入门某学科」时调用。 核心理念: 阅读是终极元技能; 读你所爱直到爱上阅读, 没有读完义务; 读原著与经典优先; 以教促学; 每天1-2小时即可进入极少数人行列。 不适用于: 具体某本书的书评、考试备考资料选择。 Triggers: 阅读/读书/怎么学习/入门/原著/书单/reading/how to learn

Overview

Publisherkangarooking
Repositorycangjie-skill
Skill namereading-metaskill
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 Reading Metaskill 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/benchmarks/naval/prototypes/compact-pack/reading-metaskill .claude/skills/reading-metaskill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reading Metaskill 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 Reading Metaskill 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 Reading Metaskill 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.

阅读元技能

R — 原文 (Reading)

读你所爱读的直到你爱上阅读。……我大概每天读一到两小时。那个使我进入0.00001%的行列。……真正的人不会每天读一小时。真正的人,每天读一分钟或更少。使它成为实际的习惯才是最重要的事情。

— 纳瓦尔·拉维坎特, 《纳瓦尔宝典》 第一章·财富

I — 方法论骨架 (Interpretation)

阅读是可以用它换来任何其他技能的元技能。培养它的关键是降低门槛、保持愉悦: ① 读你所爱(包括「精神垃圾食品」)直到爱上阅读——没有垃圾这种东西; ② 没有读完义务——跳读、从中间读、同时穿插 10–20 本都合法,把书当博客/推文; ③ 质量靠「原著优先」——先读达尔文再读道金斯、先读亚当·斯密再读当代经济学家,解读本会灌输立场; ④ 每天 1–2 小时、让它成为实际习惯,比「读很多」更重要(数量是虚荣指标); ⑤ 以教促学——向别人解释你学到的东西,能讲明白才是真掌握。

A1 — 书中的应用 (Past Application)

案例 1: 同时读 10–20 本

  • 问题: 被「必须读完」训练毁了阅读习惯
  • 方法论的使用: 把书当博客,无读完义务,穿插跳读
  • 结论: 「我觉得没有任何义务去读完这本书。突然间,书籍又回到了我的阅读库。」
  • 结果: 从 Twitter 多巴胺时代回到每天 1–2 小时深度阅读

案例 2: 读书数十年后重读

  • 问题: 如何真正掌握一本书
  • 方法论的使用: 「越好的书,就越要慢慢地理解和吸收」;重读好书
  • 结论: 「我不想去读完所有书,我只想反复读那100本伟大的书」
  • 结果: 少而精的重读取代数量竞赛

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 想读书但读不进去/总卡在某页
  2. 问「入门某领域该读什么」
  3. 想提升学习能力:「怎么学得又快又牢」
  4. 被书单焦虑:「别人一年读 100 本我好焦虑」

语言信号

  • "推荐几本书入门/怎么开始读书"
  • "我读不进去/总半途而废"
  • "怎么学习新领域"
  • "how to read more / learn anything / what to read first"

与相邻 skill 的区分

  • judgment-training 的区别: 本 skill 是输入管线(怎么读),判断力是输出能力(怎么想)
  • screen-detox 的区别: 深度阅读替代屏幕多巴胺,但本 skill 不负责戒断

E — 可执行步骤 (Execution)

  1. 降低门槛,随手开读

    • 完成标准: 挑一本「读起来有意思」的书(不挑「应该读」的),从最吸引你的章节开始
    • 判停条件: 若读得痛苦超过 20 分钟,换一本或跳读,不做完读义务
  2. 建立每日最小习惯

    • 完成标准: 每天固定 1–2 小时(或固定 15 分钟起步),连续 7 天不断
  3. 按「原著优先」补基础

    • 完成标准: 对想入门的领域,先找到该领域 1–2 本奠基原著加入队列
  4. 以教促学

    • 完成标准: 每周写/讲一次「我最近学到的东西」,直到能向小孩讲明白

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 用户要具体书评/摘录(这不是阅读习惯训练)
  • 备考场景(应试策略与培养习惯不同)

作者在书中警告的失败模式

  • 读错次序的博学: 「一开始读的是一系列虚假的或部分真实的东西,这些东西组成他们世界观的基本公理」
  • 为社会认可而读: 读大家都在读的书=融入羊群,生活回报在脱离群体的一侧

作者的盲点 / 时代局限

  • 每天 1–2 小时对高压人群不现实;「读原著」假设读者有耐心与语言门槛(译本也是折中)
  • 作者强调非虚构/经典,未覆盖小说与专业实操书的阅读价值

容易混淆的邻近方法论

  • judgment-training: 阅读供给基础,判断力消费基础

相关 skills (阶段 3 定稿)

  • composes-with: judgment-trainingproductize-yourself(终身学习=特殊知识来源)
  • contrasts-with: screen-detox(深度阅读 vs 多巴胺零食)

审计信息

  • 验证通过: V1 ✓ / V2 ✓ / V3 ✓ (v08)
  • 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 Reading Metaskill AI skill do?

当用户想养成阅读习惯、问「读什么书/怎么读」「如何学习新领域/怎么入门某学科」时调用。 核心理念: 阅读是终极元技能; 读你所爱直到爱上阅读, 没有读完义务; 读原著与经典优先; 以教促学; 每天1-2小时即可进入极少数人行列。 不适用于: 具体某本书的书评、考试备考资料选择。 Triggers: 阅读/读书/怎么学习/入门/原著/书单/reading/how to learn

Why use Reading Metaskill on TypingMind?

Because you install it once and use it with any model. Reading Metaskill 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 Reading Metaskill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/cangjie-skill/tree/main/benchmarks/naval/prototypes/compact-pack/reading-metaskill. 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 Reading Metaskill?

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 Reading Metaskill?

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

Is the Reading Metaskill 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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