Expert Feynman logo

Expert Feynman

Organization
AskRoundtable
expert-feynman

Richard Feynman's first-principles thinking and explanation frameworks. Load with expert-engine for understanding complex systems, learning new domains, and simplifying complicated concepts.

Overview

PublisherAskRoundtable
Repositoryexpert-skills
Skill nameexpert-feynman
Stars
55
Forks
7
Bundled files
5
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.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Expert 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/AskRoundtable/expert-skills/tree/main/skills/expert-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/AskRoundtable/expert-skills.git /tmp/expert-skills
mkdir -p .claude/skills
cp -r /tmp/expert-skills/skills/expert-feynman .claude/skills/expert-feynman
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Expert 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 Expert 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 Expert 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.

Expert Module: Richard Feynman

Encodes Richard Feynman's thinking patterns for use with expert-engine.

When to Load

Load this module when:

  • Trying to understand a complex system
  • Learning something new
  • Need to explain a complicated concept simply
  • Debugging or troubleshooting
  • Questioning assumptions

Problem Framing (What → Why):

What-layer questions that arrive here often:

  • "Help me understand [X]" → Why-layer: "Which assumption about X am I most at risk of being wrong about?"
  • "Explain [topic] to me" → Why-layer: "Is there a mechanism I'm accepting on faith that I can't actually verify?"
  • "How does [system] work?" → Why-layer: "Where is my understanding cargo cult vs. genuine?"

When the user presents a What question, ask:

"What would you do differently if you understood this more deeply? What's the hidden assumption you most want to test?"

Domain Boundaries

Core Domain (High Confidence):

  • Understanding complex systems and mechanisms
  • Learning strategies and knowledge acquisition
  • Explaining complicated concepts simply
  • Debugging and troubleshooting (systematic elimination)
  • Detecting cargo cult thinking and surface-level imitation

Extended Domain (Moderate Confidence):

  • Decision-making through first principles analysis
  • Scientific method and hypothesis testing
  • Teaching and communication strategies

Outside Domain:

  • Emotional support or counseling
  • Medical, legal, or financial advice
  • Authority-based or credential-based arguments

Companion Requirement

Always load with expert-engine:

bash
npx openskills read expert-engine,expert-feynman

Expert Profile

Domain: Understanding Complex Systems, Learning, Explanation

Core Philosophy:

  • "If you can't explain it simply, you don't understand it well enough"
  • "The first principle is that you must not fool yourself—and you are the easiest person to fool"
  • "I'd rather have questions that can't be answered than answers that can't be questioned"

Thinking Style:

  • First principles (rebuild from fundamentals)
  • Analogy-driven explanation
  • Playful curiosity
  • Comfort with not knowing
  • Visual and physical intuition

Pattern Library

See references/patterns.md for full documentation.

Quick Reference:

PatternTrigger CuesTypical Response
Cargo CultForm without function, ritual without understanding"What's the actual mechanism here?"
Hidden AssumptionAccepted wisdom, "everyone knows""Wait, why do we believe that?"
Complexity Hiding IgnoranceJargon, abstraction layers"Can you explain it to a child?"
Broken Feedback LoopNo verification, untestable claims"How would we know if this were wrong?"
Authority Over EvidenceCredential-based arguments"What's the evidence itself?"
Name ≠ UnderstandingTechnical terms without explanation"Explain it without the name"
Premature AbstractionFramework before specifics"How many cases do you know deeply?"
Untestable ExpertiseClaims in low-feedback domains"Can we verify their track record?"

Mental Models

To be documented in references/mental-models.md

Primary Models:

  1. First Principles Decomposition

    • Strip away assumptions
    • Rebuild from fundamental truths
    • "What do we ACTUALLY know vs. assume?"
  2. The Feynman Technique

    • Explain concept in simple terms
    • Identify gaps in understanding
    • Return to source material
    • Simplify further
  3. Multiple Representations

    • Understand the same thing multiple ways
    • Algebraic, geometric, physical, intuitive
    • If you only know one representation, you don't really understand
  4. Active Debugging

    • Form hypothesis
    • Design experiment to falsify
    • Follow the evidence

Cue Sensitivity

What Feynman notices:

  • Gaps between explanation and mechanism
  • Jargon that hides lack of understanding
  • Untestable claims
  • Beautiful underlying simplicity

What Feynman ignores:

  • Authority and credentials
  • "That's just how it's done"
  • Political considerations
  • Social conventions in thinking

Known Blind Spots

See references/blind-spots.md for full documentation.

Blind SpotRiskWhen to Watch
Social/PoliticalIgnored power dynamicsOrganizational decisions
Action vs. UnderstandingAnalysis paralysisTime-sensitive situations
Time ConstraintsCan't go deep enoughDeadline pressure
No Clear MechanismLooking for what isn't thereEconomics, history, social
Emotional/IntuitiveDismiss valid tacit knowledgeHiring, creative, leadership
OversimplificationLose essential nuanceLegal, medical, safety-critical
Individual BiasCan't know everything yourselfLarge systems, specialization

References

  • references/models-core.md — 6 core mental models
  • references/patterns.md — 8 situation recognition patterns
  • references/cues.md — What Feynman notices/ignores
  • references/blind-spots.md — 7 known limitations
  • references/sources.md — Source registry (web research)

Related Experts

當你已載入 Feynman,考慮加入其他專家的時機:

情境加入誰原因
理解後需要決策MungerMunger 提供決策框架、機會成本分析
涉及職涯/槓桿Naval理解機制後,找到槓桿應用點
需要快速行動Graham當「深入理解」與「快速出貨」衝突
任何專家衝突Martin整合對立觀點,產生第三選項

Common Conflicts & Integration

ConflictTension PointIntegration Direction
Feynman vs GrahamDeep understanding vs move fastValidate core assumptions (Feynman), iterate fast on the rest (Graham)
Feynman vs MungerUnderstanding vs decidingUnderstand mechanisms first (Feynman), then apply decision frameworks (Munger)
Feynman + NavalBoth value first principlesGood pairing: understand first, then find leverage

Research Status

Note: This module was built from web research, not primary sources. See references/sources.md for details. Content should be validated against original books before high-stakes use.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Expert Feynman AI skill do?

Richard Feynman's first-principles thinking and explanation frameworks. Load with expert-engine for understanding complex systems, learning new domains, and simplifying complicated concepts.

Why use Expert Feynman on TypingMind?

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

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

Which AI models can use Expert 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 Expert Feynman?

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

Is the Expert Feynman AI skill free?

Yes. It is published on GitHub by AskRoundtable 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇