8 tagged skill optimization, measured the same way as everything else here.
Browse within: Self-Improving Agents 6llm-agents 6
Skill Claude CodeCodex
Optimize a skill by planning, exploring available tools, diagnosing failures, and implementing fixes via PR. Use this skill as soon as an optimization loop starts, especially on the first iteration when community tools or reference approaches should be explored before implementation.
Skill Claude CodeCodex
Interactively gather a PRD (Product Requirements Document) for an agent skill that is about to be built or optimized by SkillHone. Use when the user says things like "I want to write a new skill", "help me spec this skill", "what should -skill do", or before running skillhone new / skillhone optim on a skill whose…
Skill Claude CodeCodex
SkillHone — toolkit for evaluating, optimizing, and managing agent skills. Use when asked to "evaluate a skill", "run probe", "optimize/iterate a skill", "create a new skill experiment", "seed a skill repo", or "run skill benchmarks"; also use when the user mentions a Forgejo-hosted skill repo and wants to measure or…
Skill Claude CodeCodex
Refactor any skill by extracting deterministic operations into a Python script and slimming the SKILL.md to only AI judgment parts. Use when user says /codify, codify a skill, or optimize a skill.
Skill Claude CodeCodex
Evolve Skill: measurement-first skill optimizer. Evaluates SKILL.md files against an anchored 9-dimension rubric, validates that the rubric itself is stable (test-retest), optimizes with a hill-climbing loop that only accepts improvements larger than measurement noise, protects against overfitting with train/holdout…