| name | educate |
| description | Extract and distill learning content from transcripts into teachable insights for Robert and Corinne |
| tags | ["educate","learn","teach","skills","knowledge","training","onboarding","lessons","explain","understand","coding","AI","prompting"] |
| version | 1.0.0 |
/educate — Learning Content Extraction
Distill transcript content into teachable insights. Audience: Robert and Corinne.
When to use
- "Teach me about [topic] from the transcripts"
- "What should I learn about [AI coding / prompting / market]?"
- "What's the most important thing Nate said about X?"
- "Create a learning path for [topic]"
- Corinne onboarding material
Process
- Search Chartroom for existing educational content on the topic
- Query transcripts for the topic across all videos
- Synthesize into progressive learning order (basics → advanced)
- Extract direct quotes where they teach better than paraphrase
- Connect to our OpenClaw context — how does this apply to us?
Output Format
## Learn: [Topic]
**Why this matters for us**: [1-2 sentences]
**Source videos**: [Titles + dates, ordered by relevance]
### Key Lessons
1. **[Lesson title]** — [Explanation, 2-3 sentences]
> "[Direct quote]" — Nate B Jones, [video title], [date]
### Apply It
- [How this connects to OpenClaw / our workflow]
### Go Deeper
- [Video to watch in full, if one stands out]
Rules
- Always cite video title and date
- Adapt complexity to audience (Robert = technical, Corinne = learning)
- If topic isn't well-covered in transcripts, say so and suggest Research agent fetch more
- Keep lessons under 5 per brief unless full curriculum requested
Intent: Informed [I18]. Purpose: Knowledge transfer.