skill-optimizer
Mine, personalize, and publish reusable skills from real agent workflows
Mine, personalize, and publish reusable skills from real agent workflows
Skill Optimizer separates the agent-skill lifecycle into three workflows. skill-miner examines agent history, memories, archives, and repeated tasks for evidence-backed candidates; skill-personalizer adapts skills to a user's phrasing, tools, paths, and verification habits; skill-generalizer removes private context for public distribution. It also audits undertriggering, noisy activation, unnecessary questions, conflicts, and token costs. A deterministic scanner supports session data from Codex, Claude Code, Gemini, and exported transcripts.
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Guides coding agents through clarification, planning, implementation, testing, review, and branch completion.
Run product work from discovery through review, QA, and release in Claude Code.
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Public GitHub facts last synced Jul 14, 2026.
Add Vercel's official engineering skills to AI coding agents.
Install reusable skills for engineering, research, operations, marketing, and business work.