1.2 KiB
1.2 KiB
| name | description | user-invocable |
|---|---|---|
| feynman | Feynman Technique for deep learning. Explain a concept simply, identify gaps, fill them, then refine. Compatible with neurofoo/agent-skills. | true |
Feynman Technique
Apply the full Feynman learning technique to deeply understand any agentic engineering concept.
Steps
Step 1: Explain It Simply
Explain as if teaching someone with no background in this field.
Step 2: Identify Gaps
Where did the explanation get fuzzy or require jargon?
Step 3: Fill the Gaps
Research or think through each gap.
Step 4: Refined Explanation
Rewrite with gaps filled and simpler language.
Course Concepts to Apply To
| Concept | Module | Invoke |
|---|---|---|
| What is an agent? | M1 | /feynman agent |
| Security ladder | M3 | /feynman security |
| Verifier pattern | M3 | /feynman verifier |
| Orchestration | M4 | /feynman orchestration |
| Cascade routing | M6 | /feynman cascade |
| Autoresearch | M7 | /feynman autoresearch |
Usage
/feynman What is an AI agent?
/feynman How does the verifier pattern work?
/feynman Explain cascade routing to a non-technical stakeholder
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