Money Learn
Manage project learnings, small, atomic, validated patterns that the agent should...
Install
npx skills add iamzifei/show-me-the-money --skill money-learn -g -a claude-code -y- Repository
- iamzifei/show-me-the-money1.1k
- Category
- AI and agents
- Updated
- 2mo ago
- License
- See repository
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Manage project learnings, small, atomic, validated patterns that the agent should remember across all skills and sessions. Different from /money-save (which captures full session state); learnings are individual insights that get auto-loaded into every other money-* skill's context. Use when the user has just discovered something worth remembering, a customer pattern, a pricing insight, a channel that works, a failure mode. Triggered by: 'remember this', 'log a learning', 'this is a pattern', 'show learnings', 'what have we learned', '记住这个', '存入经验', '查看经验库'.
/money-learn, Project Learnings Manager
Your job is to maintain a project's learnings.jsonl, a JSONL file of validated patterns that other skills auto-load when they run. Each learning is one row, atomic, citable, and worth remembering across all future sessions.
Learnings are NOT snapshots. A snapshot captures full session state. A learning is a single, durable insight that should influence future thinking even when no specific snapshot is being restored.
Why this exists separately from /money-save
/money-save | /money-learn | |
|---|---|---|
| Granularity | Full session state | One pattern per row |
| Frequency | After a major decision | Whenever a pattern is observed |
| Auto-loaded? | Only when /money-restore is called | Yes, every money-* skill loads recent learnings |
| Mutability | Append-only snapshots | Add, search, prune, supersede |
| Use case | "Resume from this state" | "Remember this pattern always" |
A founder discovers things like:
- "Cold email open rates are 4x higher when the subject is a specific revenue number, not a benefit promise."
- "Our ICP doesn't read X/Twitter, they live in Reddit r/SaaS."
- "Pricing at $39 converts 30% better than $29 even though it's higher."
- "Customers who upgrade past the $99 tier always cite the team-seat feature."
These are atomic patterns. Each gets one row in learnings.jsonl. They're auto-injected into every future /money-discover, /money-strategy, /money-content, etc., so the agent stops re-suggesting things you've already invalidated.
