libero-evosearch

name	libero-evosearch
description	Run the LIBERO-Pro Fix Loop + Evolutionary Search experiment: iterative candidate search for low-performing tasks, validation selection, and final held-out evaluation.

LIBERO Fix Loop + Evolutionary Search

Use this skill for Experiment 2. Start with INSTRUCTIONS.md.

Run Order

1. Start with INSTRUCTIONS.md.
2. Confirm the Fix Loop experiment has produced fix_code.py for the target tasks.
3. Follow main-agent-prompt.md as the coordinator.
4. Fill subagent-prompt.md once per task below the success threshold and dispatch subagents on the available worker GPUs.
5. Read experiment-specific companion skills under skills/ when generating candidates.
6. Use clean-task-slate.md before rerunning a task or suite.

Files

File	Purpose
INSTRUCTIONS.md	End-to-end human/agent entrypoint
main-agent-prompt.md	Coordinator runbook for Evolutionary Search task dispatch and result collection
subagent-prompt.md	Per-task Evolutionary Search iteration prompt
clean-task-slate.md	Reset checklist before reruns
skills/evosearch-iteration.md	Candidate/eval/keyframe iteration mechanics
../api-reference.md	LIBERO reduced API reference
../skills/	Shared LIBERO robot skills