Feynman

Organization

SourceWeft

feynman

Use the Feynman technique to deeply learn a concept by explaining it simply, identifying gaps, filling them, and refining the explanation.

Overview

Publisher	SourceWeft
Repository	`SourceWeft`
Skill name	`feynman`
Stars	305
Forks	25
Bundled files	6
Links	Skill source Repository Homepage

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.
6 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by SourceWeft 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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/SourceWeft/SourceWeft/tree/main/packages/builtin-skill-feynman
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.

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/SourceWeft/SourceWeft.git /tmp/SourceWeft
mkdir -p .claude/skills
cp -r /tmp/SourceWeft/packages/builtin-skill-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.

Feynman Technique

Use this skill when the user invokes /feynman to work through a concept with the full Feynman learning technique.

Treat $ARGUMENTS as the concept, question, or topic to understand. If $ARGUMENTS is empty or too vague, ask exactly one clarifying question before continuing.

Execution Rules

Run the technique end to end instead of only describing it.
Focus on the specific concept named in $ARGUMENTS.
Use plain language and avoid unnecessary jargon.
Be explicit about uncertainty or missing understanding.
When helpful, use a concrete analogy from everyday life.
Keep the result practical and easy to study from.

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 using everyday words.]

Analogy

[Create a familiar analogy that makes the concept easier to grasp.]

Step 2: Identify Gaps

Point out where the explanation becomes fuzzy, hand-wavy, incomplete, or too dependent on jargon.

Gaps Found

Gap	What seems unclear	What needs to be understood better
1	[unclear part]	[underlying question]
2	[unclear part]	[underlying question]
3	[unclear part]	[underlying question]

Jargon Used

Term	Can it be explained simply?
[term]	Yes / No / Partially

Step 3: Fill the Gaps

Resolve the biggest gaps by reasoning carefully from known facts and the user's context. If the user provided source material, stay grounded in it.

Gap 1: [Topic]

The question: [What was unclear?]
The answer: [What we now understand]
Simple version: [How to explain it plainly]

Repeat for as many meaningful gaps as needed.

Step 4: Refined Explanation

Rewrite the explanation after closing the major gaps.

Final Simple Explanation

[Improved, clearer explanation in plain language.]

Improved Analogy

[A better analogy if one helps.]

Key Takeaways

[Core insight 1]
[Core insight 2]
[Core insight 3]

30-Second Version

If someone asked for a short explanation, say:

[A concise, plain-language version.]

Guidance

Do not pretend to understand parts that are still weak.
Prefer clarity over completeness when the tradeoff matters.
If the user is learning interactively, you may end with one focused follow-up question, but only after providing the full Feynman breakdown above.

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 Feynman AI skill do?

Use the Feynman technique to deeply learn a concept by explaining it simply, identifying gaps, filling them, and refining the explanation.

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/SourceWeft/SourceWeft/tree/main/packages/builtin-skill-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 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?

It is published on GitHub by SourceWeft. Check the repository for licensing terms. 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

Resume Bullet Writer

reactive-resume

OrganizationPopular

Turns resume duties into truthful impact bullets. Questions the user role by role to dig out achievements, asks for real numbers or honest ranges (never invents them), and writes concise bullets in…

Scaffold Exercises

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course…

Teach

Teach the user a new skill or concept, within this workspace.

Pytorch Fsdp

Fully sharded data-parallel training for large models.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Feynman Technique

Execution Rules

Output Format

Step 1: Explain It Simply

Simple Explanation

Analogy

Step 2: Identify Gaps

Gaps Found

Jargon Used

Step 3: Fill the Gaps

Gap 1: [Topic]

Step 4: Refined Explanation

Final Simple Explanation

Improved Analogy

Key Takeaways

30-Second Version

Guidance

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now