skill-optimizer
SkillOpt-flavored offline training loop for any SKILL.md. Treats accumulated learn-rule corrections as training trajectories, proposes bounded patches via an optimizer LLM, gates each candidate against a held-out validation set built from the user's own past corrections, and ships only candidates that demonstrably improve the score. Inspired by Microsoft SkillOpt's ReflACT pipeline (rollout → reflect → aggregate → select → update → evaluate) adapted to pro-workflow's SQLite store. Use when a skill has accumulated 8+ learn-rule rows and the user wants the skill itself to get better, not just longer.
适合你，如果维护的skill积累了多条学习规则，希望自动改进其表现
/ 通过 npx 安装 校验哈希
npx oh-my-skill add rohitg00/pro-workflow/skill-optimizer/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- rohitg00/pro-workflow/skill-optimizer/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify rohitg00/pro-workflow/skill-optimizer安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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