Skill eval & improve

Improve skills measurably: baseline → measure → bounded edit → re-validate. Combine local tooling, Codex plugin-eval (when installed), and research-backed loops (SkillOpt).

When to use

• Skill triggers wrong or never loads (description routing)
• Bloated SKILL.md, high token cost, weak outcomes
• After adding a new procedure—need regression checks
• Porting patterns from product MCP / plugin-eval research into Skill Steward skills

When not to use

• Bulk repo validation — e.g. “validate every skill in this repo” → pnpm run validate only (skill-authoring-lifecycle for audit); do not start benchmark or SkillOpt loops.
• Automated SkillOpt / cluster training — Skill Steward documents a manual bounded-edit loop; no overnight optimizer pipeline.
• Creating a new skill — use skill-authoring-lifecycle first; eval-improve applies after a skill exists.

Cursor scope (optional): activate when editing under skills/** or scripts/validate-skills.mjs.