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AI teaching Skill based on the Feynman Technique — makes YOU teach the AI to expose gaps in your understanding. Works with Claude Code, Cursor, Windsurf, and any LLM agent framework.

10
0
100% credibility
Found Apr 17, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Feynman Tutor is an AI-powered learning companion that applies the Feynman technique by having users explain concepts to it, uncovering gaps and building persistent notes across sessions while extracting content from videos, articles, and papers.

How It Works

1
💡 Hear about Feynman Tutor

You find this helpful AI friend that teaches by making you the teacher, perfect for really understanding tough ideas.

2
📥 Add it to your AI helper

You simply place it in your AI assistant's special folder, and it starts working right away with no fuss.

3
🧠 Ask to learn something new

You chat naturally like 'Teach me about attention mechanisms' and it remembers everything from before.

4
Pick your learning path
💭
Explain a concept

You teach it back in your own words, and it gently points out where to dig deeper.

🔗
Share a link or file

Drop a video, article, or paper link, and it pulls out the key parts for you to master.

5
Get smart feedback

It praises what's solid, fixes mix-ups with fun examples, and saves your progress in personal notes.

🎉 Truly get it and connect ideas

You walk away with deep knowledge that sticks, linking new topics to what you already know for lifelong learning.

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Star Growth

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AI-Generated Review

What is feynman-tutor?

Feynman Tutor is a Python tool that turns AI into your student: you explain concepts or materials using the Feynman technique, and it probes gaps to build real understanding, not passive nods. Feed it a YouTube video, PDF, arXiv paper, or just "teach me attention mechanisms," and it extracts content, runs role-reversal sessions, and saves persistent notes with cognitive maps and learner profiles across Claude Code, Cursor, or any LLM agent supporting file I/O and shell execution. Forget illusory comprehension— this feynman ai tutor exposes blind spots for skills assessment teaching that sticks.

Why is it gaining traction?

Standard AI tutors lecture; this flips it to co-teaching github-style, where you articulate in your words, get tiered feedback (misconception, gap, polish), and see cross-topic analogies emerge from session history. Developers hook on the dynamic calibration—it reads your confidence, adjusts pace, and connects new ideas to past ones like "this TCP pattern mirrors your agent engineering notes." Multi-platform extraction (YouTube transcripts, WeChat articles, PDFs) skips manual prep, boosting teaching skills for dummies-level users to resume-ready pros.

Who should use this?

AI devs mastering feynman technique tutorials on protocols or diagrams, product leads like ardit sulce teaching github repos, or educators building teaching skills examples for CVs and interviews. Perfect for self-taught engineers doing skills assessment teaching on LLM agents, game design, or math fundamentals without rote summaries.

Verdict

At 10 stars and 1.0% credibility, it's raw but impressively documented—clone into Claude Code for a free upgrade to active learning. Devs evaluating: test on one tough topic; scale if extraction holds up.

(198 words)

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