Meta-AI: Train Your Agents with AI
Creating effective AI agent prompts is an art. You want the right tone, constraints, and examples. Iterating by hand is slow. What if an agent helped you build and refine skills for other agents?
The Prompt Engineering Bottleneck
You have an agent. You want it to do X. You write a skill or system prompt. It's close but not quite. You tweak, test, tweak again. That loop is time-consuming and non-obvious.
The Solution: Agent Skills Generator
An OpenClaw agent that:
- Generates skills from description — "An agent that triages support tickets" → draft skill with instructions and examples
- Refines based on feedback — "It's too verbose" or "Add a constraint for refunds" → updated skill
- Tests and suggests — Proposes test cases, flags edge cases
- Documents — Keeps a skills library with versions and notes
You get a meta-agent that makes your other agents better—faster.
Deploy Your Meta-Agent
Clawctl gives you audit logs for every skill generated and every agent that uses it. Sandbox and kill switch for safety.