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Feynman

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LilMGenius
feynman

Press a decision you just made until you can explain it to a skeptic in your own words, or surface the gap where you can't. The Feynman test aimed at a choice: understanding is cheapest to fake the moment after you decide, so a fresh critic presses for what you can't actually explain. Use right after picking an option, especially one an agent laid out without arguing for.

Overview

PublisherLilMGenius
Repositorypaperthin
Skill namefeynman
Stars
1.3K
Forks
118
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by LilMGenius on GitHub. Read the source before you install it.

Installation

Install the Feynman 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.
    https://github.com/LilMGenius/paperthin/tree/main/skills/depth/feynman
  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/LilMGenius/paperthin.git /tmp/paperthin
mkdir -p .claude/skills
cp -r /tmp/paperthin/skills/depth/feynman .claude/skills/feynman
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Press a decision you just made until you can explain it, or the gap where you can't is named.

Goal

The moment after a choice is when understanding is cheapest to fake: you can restate an option fluently without having earned the reasons behind it, and by the time that gap matters the decision is load-bearing elsewhere. The Feynman test catches it — if you can't explain a thing plainly, you don't yet understand it. So no one hands you the rationale; a fresh critic that never made the decision presses for what you can't actually explain, and a shallow answer draws a narrower question instead of a pass. The result is a decision you can now explain under real pressure, or an honest flag that you can't yet.

Workflow

  1. Trigger: fire right after a decision is made — typically just after options were laid out with no argument for any, and one was picked.
  2. Restate, don't justify: state the decision neutrally. Do not supply the reasoning behind it, and do not let the user borrow reasoning that was never actually given.
  3. Isolate the critic: hand the decision — not any reasoning — to a fresh, context-free sub-session that never watched the decision get made. Have it press for gaps: what a skeptical outsider would ask, what is assumed but unstated, what would have to be true for the choice to hold.
  4. Return one gap at a time: give the user the sharpest unresolved gap and ask them to explain it in their own words. Never batch gaps into a checklist.
  5. Judge the explanation: if the answer actually resolves the gap, close it and move on. If it restates the question, deflects, or leans on authority ("the agent suggested it") instead of reasoning, do not accept it.
  6. Narrow, don't repeat: on a shallow answer, don't ask the same question again — narrow to the exact part that stayed vague and ask that. Keep narrowing each round; never widen back to a generic "are you sure?"
  7. Stop condition: after repeated rounds, either every gap is genuinely explained, or one isn't. Both are valid endings.
  8. On an unexplained gap: don't force a resolution or let the user paper over it. Name the unresolved point specifically and flag the decision for re-review — not a verdict that it was wrong, only that it isn't yet earned.

Rules

  • Never supply the rationale before the user attempts one. Handing reasoning over first is the frame-injection failure this skill exists to avoid.
  • The pressing comes from an isolated sub-session, never self-assessed in the session that made the choice — a mind can't un-know the decision it just made, any more than an author can un-know their own draft.
  • Narrow, don't repeat. A second identical question teaches the user to restate louder; a narrower one tests whether the gap actually closed.
  • Never force a resolution. An honestly unexplained gap is a usable result — a signal the decision needs another look — not a failure of the skill.
  • User-invoked on purpose: a challenge-every-decision reflex always in reach would bias the user toward chronic self-doubt. It fires only when deliberately reached for.

Verification

  1. Compare the user's first answer to a gap against their answer after narrowing — the round-over-round change in what they can actually explain is the real signal, not merely that no more objections came up.
  2. Every closed gap traces to an explanation that resolved the actual question, not one that restated it.
  3. Any gap still open is named specifically — which assumption, not a vague "the user struggled" — and carried forward as a flag on the decision, never silently dropped.
  4. The rationale was never supplied by this skill; every reason that closed a gap came from the user.

Frequently asked questions

What does the Feynman AI skill do?

Press a decision you just made until you can explain it to a skeptic in your own words, or surface the gap where you can't. The Feynman test aimed at a choice: understanding is cheapest to fake the moment after you decide, so a fresh critic presses for what you can't actually explain. Use right after picking an option, especially one an agent laid out without arguing for.

Why use Feynman on TypingMind?

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

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

Which AI models can use 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 Feynman?

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

Is the Feynman AI skill free?

Yes. It is published on GitHub by LilMGenius 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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