Skill Optimizer

When to use

Use this skill when you need to:

• Improve whether a skill is actually applied by models
• Diagnose why some criteria fail across all models
• Prevent a skill from making outputs worse
• Refactor skill text for stronger retrieval under context pressure
• Build repeatable benchmark loops and release gates

Optimization loop (default workflow)

1. Measure baseline and skill-on behavior (per model, per scenario, per criterion)
2. Find failure pattern:
   • universal failure (0% with skill)
   • model-specific weakness
   • regression (negative delta)
3. Edit for salience:
   • add explicit triggers
   • add concrete integrated examples
   • tighten checklists and decision rules
4. Re-run evals and compare deltas
5. Ship with guardrails (documented gate + run history + follow-up issues)