AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Learn Feynman

skill-li-evan-bloom-learn-feynman · by Li-Evan

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。

No reviews yet
0 installs
1 views
0.0% view→install

Install

$ agentstack add skill-li-evan-bloom-learn-feynman

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-li-evan-bloom-learn-feynman)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Learn Feynman? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.