Fix Loop + Evolutionary Search

Use this skill for intensive debugging of difficult tasks — Evolutionary Search's multi-candidate search finds strategies the single-pass fix loop misses. It builds on the iterative-debugging skill: each task's fix loop fix_code.py (when present) is the baseline to beat, seeded verbatim as candidate_A. LIBERO-Pro runs use --init-mode seeded so development seeds 51–65 and held-out seeds 1–50 are distinct scenes.

Setup

1. Complete benchmark setup for the target embodiment (docs/libero-pro.md, or docs/robosuite.md), including the pinned environment (for LIBERO: scripts/bootstrap_libero.sh → .venv-libero) and SAM3 authentication.
2. Export the benchmark environment variables (for LIBERO: LIBERO_CONFIG_PATH="$PWD/.libero", MUJOCO_GL=egl, PYOPENGL_PLATFORM=egl, EGL_PLATFORM=device, TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD=1).
3. Start perception services (scripts/supervise_services.sh) and a persistent coordinator session.
4. Confirm the Fix Loop experiment has produced fix_code.py (and a baseline held-out rate) for the target tasks when available.
5. Read docs/api-reference.md, docs/run-artifacts.md, and main-agent-prompt.md.

Run Order

1. Take the task list from the user (tasks below the success threshold; any set of (benchmark, suite, task_id) cases) and follow main-agent-prompt.md as the coordinator.
2. Fill subagent-prompt.md once per task and dispatch subagents on the available worker GPUs.
3. Subagents read the experiment-specific companion skills under skills/ when generating candidates, iterate with scripts/evosearch_eval.py, and run the Stage 2 held-out evaluation themselves with the shared .claude/skills/iterative-debugging/scripts/run_validation.py before returning.
4. Use clean-task-slate.md before rerunning a task or suite.

Files

File	Purpose
main-agent-prompt.md	Coordinator runbook for 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
scripts/evosearch_eval.py	Candidate × seed matrix evaluator
scripts/analyze_evosearch_traces.py	Post-eval per-candidate signal analysis
docs/api-reference.md	Public CaP program API reference
../iterative-debugging/skills/	Shared robot skills (localize/grasp/transport/manipulation)