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Agent skill

Feynman

by neurofoo in neurofoo/agent-skills

Feynman Technique for deep learning—explain a concept simply, identify gaps, fill them, then refine.

MITAuto-check passedAI & LLM Engineering

Install Feynman

skills CLI
$ npx skills add neurofoo/agent-skills --skill feynman -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install neurofoo/agent-skills feynman --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/neurofoo/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/feynman .claude/skills/feynman && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
feynman
GitHub stars
119
Token cost
~561 tokens
SKILL.md length
271 words
Files
5 (incl. references)
Skills in repo
22
Repo updated
First seen
Licence
MIT

At a glance

Feynman Technique for deep learning—explain a concept simply, identify gaps, fill them, then refine.

  • Works in 4 steps: Explain It Simply → Identify Gaps → Fill the Gaps → …
  • Learning something new
  • SKILL.md covers Instructions, Step 1: Explain It Simply, Step 2: Identify Gaps and Step 3: Fill the Gaps, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Feynman is an agent skill from neurofoo/agent-skills. Feynman Technique for deep learning—explain a concept simply, identify gaps, fill them, then refine. Use when learning something new, testing understanding, or preparing to teach.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `commands/explain.md`, `commands/feynman.md` and `commands/simplify.md`).

It sits in AI & LLM Engineering, covering Deep learning. The repository describes itself as: Agent Skills for Claude Code and OpenCode. The licence is MIT.

When your agent uses it

  • Learning something new
  • Testing understanding
  • Preparing to teach

Example prompts

  • “/feynman”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Explain It Simply
  2. Identify Gaps
  3. Fill the Gaps
  4. Refined Explanation

What it can do on your machine

Read from SKILL.md and the folder at commit 0e7ac2a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Feynman loads about 561 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 271 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~561
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from neurofoo/agent-skills at commit 0e7ac2a, republished under its MIT licence (© neurofoo). 271 words, ~561 tokens.

Download SKILL.mdSave it as .claude/skills/feynman/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
feynman
description
Feynman Technique for deep learning—explain a concept simply, identify gaps, fill them, then refine. Use when learning something new, testing understanding, or preparing to teach.
user-invocable
true

Feynman Technique

Apply the full Feynman learning technique to deeply understand a concept.

Instructions

Work through all four steps of the Feynman technique. Be honest about gaps—they're the point.

Output Format

Concept: [What are we trying to understand?]

Step 1: Explain It Simply

Explain as if teaching someone with no background in this field

Simple Explanation

[Write a plain-language explanation. Use everyday words. Avoid jargon. Aim for a bright 12-year-old to understand.]

Analogy

[Create an analogy using something familiar to illustrate the concept]

Step 2: Identify Gaps

Where did the explanation get fuzzy, hand-wavy, or require jargon?

Gaps Found
GapWhat I SaidWhat I'm Not Sure About
1[vague part][the underlying question]
2[vague part][the underlying question]
3[vague part][the underlying question]
Jargon Used
TermCan I Explain It Simply?
[term]Yes / No / Partially

Step 3: Fill the Gaps

Research or think through each gap

Gap 1: [Topic]
  • The question: [What wasn't clear?]
  • The answer: [What I learned]
  • Now I can explain it as: [Simple version]

Step 4: Refined Explanation

Rewrite the complete explanation with gaps filled and simpler language

Final Simple Explanation

[The improved, complete explanation in plain language]

Improved Analogy

[A refined or new analogy that better captures the concept]

Key Takeaways
  1. [Core insight 1]
  2. [Core insight 2]
  3. [Core insight 3]

Test Question If someone asked me to explain this in 30 seconds, I'd say:

[Elevator pitch version]

Guidelines

  • Don't pretend to understand—gaps are valuable
  • Use analogies from everyday life
  • If you need jargon, define it simply
  • Shorter is usually better
  • The "explain to a child" bar is high—take it seriously

$ARGUMENTS

© neurofoo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in feynman of neurofoo/agent-skills.

  • SKILL.md
  • commands/explain.md
  • commands/feynman.md
  • commands/simplify.md
  • references/examples.md

Open the folder on GitHubat commit 0e7ac2a

Compare with similar skills

Feynman next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Feynman compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Feynman this skillneurofoo/agent-skills119—~561Automated safety check: PassMIT
Paddle Design CompilerPaddlePaddle/Paddle24k—~3.6kAutomated safety check: PassApache-2.0
AI Research Explorelllllllama/RigorPilot-Skills4971 repos~1.7kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k9 repos~3.3kAutomated safety check: PassMIT
Add Oponnx/onnx22k—~1.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Feynman

What does Feynman do?

Feynman Technique for deep learning—explain a concept simply, identify gaps, fill them, then refine. Feynman is an agent skill from neurofoo/agent-skills. Feynman Technique for deep learning—explain a concept simply, identify gaps, fill them, then refine.

When should I use Feynman?

Feynman fits situations like: learning something new; testing understanding; preparing to teach.

How do I install Feynman in Claude Code?

Run `npx skills add neurofoo/agent-skills --skill feynman -a claude-code`. Or copy the skill folder (feynman in neurofoo/agent-skills) into .claude/skills/feynman in your project. Claude Code loads it when a task matches its description.

How do I install Feynman in Codex?

Run `npx skills add neurofoo/agent-skills --skill feynman -a codex`. Or copy the skill folder (feynman in neurofoo/agent-skills) into .agents/skills/feynman in your project. Codex loads it when a task matches its description.

Can I use Feynman in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add neurofoo/agent-skills --skill feynman -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feynman, .gemini/skills/feynman, .github/skills/feynman and .opencode/skills/feynman in your project.

What does Feynman need to run?

SKILL.md names no scripts, command-line tools or credentials: Feynman is instructions for the agent only.

Does Feynman access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Feynman safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Feynman use?

Feynman is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Feynman use?

About 561 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Feynman?

Skills that share tags, products or a category with Feynman: Paddle Design Compiler (PaddlePaddle/Paddle, 24k stars), AI Research Explore (lllllllama/RigorPilot-Skills, 497 stars), Add Uint Support (pytorch/pytorch, 104k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Feynman?

neurofoo (a GitHub user) maintains it in neurofoo/agent-skills, which has 119 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on January 19, 2026.

Source: neurofoo/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.