Skill Optimizer

Self-evolving skill optimization. Treats SKILL.md as the trainable parameters of a frozen agent. Validation-gated, budget-capped, atomic-versioned.

Based on SkillOpt (arXiv 2605.23904, Microsoft Research, May 2026).

When to invoke this skill

The user wants to:

• Improve an existing skill's execution quality against a benchmark
• Bootstrap a benchmark file for a new skill
• Re-tune a skill after switching target models

Iron Law