continuous-learning

You can automatically extract reusable patterns from Claude Code sessions by configuring a stop-hook to evaluate transcripts at the end of your work, detecting actionable insights like errors and workflow quirks to save as learned skills.

A stop-hook workflow for continuous learning triggers pattern evaluation at the end of Claude Code sessions to avoid latency during active work, identifying reusable insights and persisting them as learned skills for future reuse.

Yes, you need jq installed to process transcript data and extract patterns, as the continuous learning workflow relies on this dependency to parse session data and persist new learned skills to the learned-skills directory.

Yes, you can apply pattern detection thresholds to filter Claude Code session reviews, ensuring only actionable insights like errors, corrections, and workflow quirks meet the configured criteria for persistence as learned skills.

Extracted Claude Code patterns are stored in the ~/.claude/skills/learned/ directory, allowing you to build a library of learned skills that can be reused and shared across future Claude Code environments.

The best way to reduce repetitive manual work in Claude Code dev workflows is to implement automated pattern extraction, which captures reusable insights from your sessions and saves them as learned skills for future application.