autooptimise
Installation
SKILL.md
autooptimise
Autonomous benchmark-driven skill optimisation for OpenClaw. Inspired by Andrej Karpathy's autoresearch — the same modify → test → score → keep/discard loop, applied to agent skill quality instead of GPU training.
Trigger Phrases
"optimise my weather skill""run autooptimise on [skill-name]""benchmark my [skill-name] skill""improve my skill overnight"
Key Files
| File | Purpose |
|---|---|
benchmark/tasks.json |
Test task suite (prompts + expected qualities) |
benchmark/scorer.md |
LLM judge scoring rubric |
runner/run_experiment.md |
Autonomous loop instructions (load this next) |
runner/experiment_log.md |
Auto-created run log (gitignored) |