cc-skill-continuous-learning

Extracting reusable coding patterns involves analyzing session transcripts to detect error resolutions, debugging approaches, and workarounds, then saving concise summaries for later review and approval.

CRT memory concepts in this context refer to preserving project-specific knowledge and debugging techniques extracted from coding sessions into a local learned-skills repository for future reuse.

Build a learned-skills repository by running automated end-of-session analyses to surface reusable patterns, storing session summaries locally, and applying manual review guardrails to ensure only validated patterns are approved for learning.

Yes, jq is a required dependency for automating pattern detection from coding sessions, enabling the extraction workflow to parse and process session data into the local learning store.

Yes, the configurable workflow implements manual review guardrails, ensuring only approved patterns extracted from coding sessions are saved to the local learning store as learned skills.

Apply automated pattern extraction at the end of coding sessions across projects, saving approved debugging techniques and workarounds to a growing local learned-skills repository for future cross-project reuse.