---
name: feynman
description: Feynman Technique for deep learning. Explain a concept simply, identify gaps, fill them, then refine. Compatible with neurofoo/agent-skills.
user-invocable: 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
```

$ARGUMENTS
