Skill Optimizer

Skill Optimizer

Use this skill when the user asks to optimize, tune, or improve an existing skill against examples or a benchmark.

This port is adapted from garrytan/gbrain at commit 814258dda67945ffec9457a1e73980e947b7e462.

Workflow

1. Pick the target skill and read its SKILL.md.
2. Establish an evaluation set before editing:
   • existing examples, tests, or benchmark JSONL
   • user-provided success criteria
   • at least a small held-out set for bundled skills
3. Make the smallest body-only change likely to improve behavior.
4. Preserve frontmatter routing fields unless the user explicitly asked to change routing.
5. Validate before accepting:
   • repo tests
   • relevant skill-specific checks
   • manual comparison against held-out tasks
6. Record what improved, what was rejected, and remaining risk.

Codex Adaptation

• Prefer deterministic local tests and review tasks over upstream gbrain skillopt unless that CLI is installed and the user approved its cost/runtime.
• For bundled skills in this repo, default to proposed edits plus validation rather than automatic mutation loops.
• Do not call external model optimization services unless the user explicitly approves the cost and network use.

Guardrails

• Do not optimize against a vague preference; write the benchmark first.
• Do not mutate frontmatter in a quality-tuning pass.
• Do not accept a change that only improves the training examples while regressing held-out tasks.
• Do not present an unvalidated rewrite as an optimization.