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li-evan

Learn Feynman

by Evan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install learn-feynman
Description
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...
README (SKILL.md)

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
Usage Guidance
Install if you want a learning or comprehension-check helper. Be aware it may activate on broad phrases like asking to be tested or checked; if that happens unintentionally, clarify that you do not want the tutoring workflow.
Capability Assessment
Purpose & Capability
The reported behavior fits an educational comprehension-check or Feynman-style coaching purpose and does not indicate high-impact actions, data access, or account authority.
Instruction Scope
SkillSpector flagged broad activation language such as generic self-testing requests; that can be surprising, but it is related to the skill's apparent teaching purpose rather than a hidden capability.
Install Mechanism
No artifact-backed evidence was provided of install scripts, package execution, background setup, or privilege-changing installation behavior.
Credentials
No evidence indicates network access, credential use, broad local file indexing, or mutation of user data.
Persistence & Privilege
No evidence indicates persistence, background workers, privilege escalation, credential/session handling, or retained user data beyond the learning interaction itself.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install learn-feynman
  3. After installation, invoke the skill by name or use /learn-feynman
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the **learn-feynman** skill. - Enables self-check of understanding using the Feynman Learning Technique. - Guides users to explain concepts in their own words and identifies unclear or skipped areas through targeted follow-up questions. - Pinpoints knowledge gaps, distinguishing between missing prerequisites and incomplete reasoning. - Helps determine whether the user's understanding is truly closed-loop.
Metadata
Slug learn-feynman
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 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... It is an AI Agent Skill for Claude Code / OpenClaw, with 47 downloads so far.

How do I install Learn Feynman?

Run "/install learn-feynman" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Learn Feynman free?

Yes, Learn Feynman is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Learn Feynman support?

Learn Feynman is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Learn Feynman?

It is built and maintained by Evan (@li-evan); the current version is v1.0.0.

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