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.
How to install skill-optimizer?
rohitg00/pro-workflow/skill-optimizer
$npx -y skills add rohitg00/pro-workflow --skill skill-optimizerInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/rohitg00/pro-workflow" --skill "rohitg00/pro-workflow/skill-optimizer"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/rohitg00/pro-workflow" that are relevant to the current task. Run `npx skills add "https://github.com/rohitg00/pro-workflow"` and select the relevant skills, then follow their instructions.
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