Learn Feynman

Community

Li-Evan

learn-feynman

当用户学完一个东西想自查是否真懂、或觉得「好像懂了」但不确定时使用。用「费曼学习法」让他用自己的话把概念讲出来，你扮好奇学生专挑他含糊/跳过的地方追问，把「讲不顺的模糊处」揪出来作为没真懂的漏洞，定位是缺前置知识还是没想透，判断理解是否闭环。触发场景：我学完了考考我、自查一下、我好像懂了、我讲讲你看对不对、检验我的理解、这个我真懂了吗。

Overview

Publisher	Li-Evan
Repository	`Bloom`
Skill name	`learn-feynman`
Stars	292
Forks	43
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Li-Evan on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Li-Evan/Bloom/tree/main/skills/learn-feynman
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.

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/Li-Evan/Bloom.git /tmp/Bloom
mkdir -p .claude/skills
cp -r /tmp/Bloom/skills/learn-feynman .claude/skills/learn-feynman

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Learn Feynman 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 Learn Feynman 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 Learn Feynman 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.

费曼学习法（learn-feynman）

核心信条：能简单地教会别人，才算真懂。 讲的时候被简化或跳过的地方，正是"我以为我懂了"的幻觉核心点。

何时用

用户学完一个东西想验真伪，或隐约觉得"好像懂了但不踏实"。也是"重输入轻输出"的一次强制输出。

流程（考官 / 学生模式：用户讲，你挑漏洞）

第一步：让用户讲

请他用自己的话、把你当外行，把概念讲一遍。别让他背定义——要他解释、打比方。

第二步：扮好奇学生追问

专挑他含糊带过、用术语糊弄、跳过的环节追问："为什么？""那这个是怎么来的？""举个例子？"命中他答不上来或开始绕的地方。

第三步：揪出"模糊处"= 漏洞

明确指出哪几处他没真懂（不是责备，是定位）。这些就是幻觉核心点。

第四步：定位漏洞性质

每个漏洞是：① 缺前置知识（→转 learn-graph 定位 / learn-crossover 看是否其实已会）还是 ② 有料但没想透（→当场再讲一轮，直到讲顺）？

第五步：判断闭环

能顺畅讲通、追问不倒 = 闭环。否则明确指出还差哪一环。

注意

⚠️ 铁律·只用确证的已会知识：判断用户「已经会什么」只能用他确证学过的知识（亲口确认或可靠背景）；严禁把「正在讲的材料 / 文章作者背景 / 对话里别人的知识」当成用户会的。拿不准 → 直接问「⚠️ 你学过 ___ 吗？」，绝不替他假设。

别太快放水——用户讲得顺也要追问一两个深的，确认不是表面流畅。
目标是定位漏洞，不是羞辱；找到漏洞是好事，说明知道往哪补。
同族 skill：learn-occam learn-crossover learn-graph learn-prototype。

Frequently asked questions

What does the Learn Feynman AI skill do?

Why use Learn Feynman on TypingMind?

Because you install it once and use it with any model. Learn Feynman 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 Learn Feynman in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Li-Evan/Bloom/tree/main/skills/learn-feynman. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Learn Feynman?

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 Learn Feynman?

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

Is the Learn Feynman AI skill free?

Yes. It is published on GitHub by Li-Evan 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

费曼学习法（learn-feynman）

何时用

流程（考官 / 学生模式：用户讲，你挑漏洞）

第一步：让用户讲

第二步：扮好奇学生追问

第三步：揪出"模糊处"= 漏洞

第四步：定位漏洞性质

第五步：判断闭环

注意

Frequently asked questions

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