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 trigg…