game-optimizelisted

# Optimize Autonomous improvement loop for Godot 4.x: define metric → spawn parallel subagents in worktrees → keep improvements, discard regressions → loop until stall. **Trigger**: `/game-optimize` or `/game-optimize [auto]` Inspired by the `evo-hq/evo` autoresearch pattern, integrated with `.project/` and GUT testing. No external dependency. ## Input No required input. Config interactively in PHASE 1 or via resume. ## Output ``` .project/optimize/{run-id}/ ├── spec.json # metric, gate, scope, baseline, parameters ├── tree.json # nodes (id, parent, branch, score, status, hypotheses) ├── runs/{NNNN}.json # per-round result ├── benchmark.tscn # Godot benchmark scene (generated from template) ├── benchmark.gd # Godot benchmark script (parses SCORE= line) ├── gate.sh # default: GUT testsuite headless └── branches.txt # cleanup list for abort ``` Update on completion: `.project/project.json` → push to `optimization_runs[]`. ## Process **Phase tracking** — first action of the skill: call `TaskCreate` with these 7 items (status `pending`), then use `TaskUpdate` to set `in_progress` at the start and `completed` at the end of each phase. During context compaction the task list stays visible — no risk of forgotten phases. 1. PHASE 0: Pre-flight 2. PHASE 1: Define Metric 3. PHASE 2: Instrument Benchmark 4. PHASE 3: Baseline Run 5. PHASE 4: Optimize Loop 6. PHASE 5: Pick Winner 7. PHASE 6: Sync + Report ### PHASE 0: Pre-flight