What is the primary benefit of the 'Identify Gaps' step?

This step highlights exactly where your explanation relies on jargon or vague logic, allowing you to focus your research only on the parts you don't truly understand yet.

What is the Feynman Technique skill for Claude Code?

It is a specialized skill that uses a four-step pedagogical method to help you or the AI explain and understand complex topics by simplifying language and identifying gaps in logic.

How do I know if I should use this skill?

Use this skill whenever you are learning a new concept, testing your own understanding, or preparing to explain a technical topic to someone else.

Does this skill work for non-technical subjects?

Yes, while it is optimized for developer workflows within Claude Code, the Feynman Technique is a universal learning framework applicable to any complex subject.

Feynman Learning Technique

Name: Feynman Learning Technique
Author: neurofoo

byneurofoo

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Learning & Documentation

Master complex concepts by breaking them down into simple explanations and identifying critical knowledge gaps.

About

The Feynman Learning Technique skill provides a structured framework for deep learning and conceptual mastery within Claude Code. By guiding users through a four-step process—explaining simply, identifying gaps, filling those gaps, and refining the narrative—it ensures that technical subjects are understood at a fundamental level rather than just memorized. This skill is particularly useful for developers tackling new architectural patterns, engineers onboarding to complex codebases, or teams needing to communicate technical debt to non-technical stakeholders.

Key Features

Simplified analogy generation to improve retention and communication
Structured gap analysis table to track and resolve fuzzy logic
Guided four-step Feynman methodology for deep conceptual understanding
Jargon detection and simplification tool to ensure clarity
Final refined explanation output for documentation or teaching purposes
35 GitHub stars

Use Cases

Identifying weaknesses in your understanding of a specific system before implementation
Learning a new programming language or complex framework from scratch
Explaining technical architecture to non-technical team members or clients

About

Key Features

Simplified analogy generation to improve retention and communication
Structured gap analysis table to track and resolve fuzzy logic
Guided four-step Feynman methodology for deep conceptual understanding
Jargon detection and simplification tool to ensure clarity
Final refined explanation output for documentation or teaching purposes
35 GitHub stars

Use Cases

Identifying weaknesses in your understanding of a specific system before implementation
Learning a new programming language or complex framework from scratch
Explaining technical architecture to non-technical team members or clients