continuous-learning

To extract reusable patterns from Claude Code sessions, configure a Stop hook to evaluate session data upon completion. The hook automatically identifies actionable patterns like debugging techniques and project conventions, saving them as learned skills for future reuse.

Continuous learning in Claude Code is the automated process of evaluating completed sessions to detect recurring solutions and user corrections. It operates by running a session evaluation hook that extracts these patterns and persists them to a dedicated storage path for ongoing development workflows.

Yes, you need the jq command-line JSON processor installed as a prerequisite. The pattern extraction scripts rely on jq to parse session data and format the extracted debugging techniques and project conventions before storing them as learned skills.

Yes, storage paths and extraction thresholds are configurable when setting up the session evaluation hook. You can specify where learned skills are persisted, defaulting to the ~/.claude/skills/learned/ directory, and adjust criteria for pattern detection sensitivity.

Automated pattern extraction is ideal for ongoing coding sessions, debugging workflows, and project handoffs where summarizing recurring solutions is necessary. It captures debugging techniques and project conventions automatically at session end without interrupting your active development process.

The best way to preserve debugging techniques is to automate session evaluation at session end. This captures actionable patterns and user corrections, storing them as learned skills in ~/.claude/skills/learned/ so they can be applied to future coding sessions and project handoffs.