Identifies reusable workflow patterns across multiple Claude Code sessions by analyzing transcript logs for non-trivial, multi-step procedures.
Session Skill Discovery provides a structured methodology for mining session transcript logs to surface genuine, reusable skill candidates. By analyzing historical agent behavior across various tickets and projects, it filters out noise and trivial commands to identify complex, cross-project patterns that warrant formal documentation. This skill helps developers maintain high-quality skill libraries by applying strict quality gates, ensuring that only high-value, non-obvious procedures are codified into the system's behavioral repertoire.