Agent Skills: skill-self-improvement

Optimize existing AI agent skills with a dual-loop workflow for activation tuning and execution quality. Use when improving a skill after initial creation, diagnosing false triggers or missed triggers, converting subjective output goals into binary assertions, building or refining eval.json test suites, or iteratively refining SKILL.md rules against repeatable checks with a final human review pass.