retrospective

To persist session learnings as domain knowledge, you provide a session transcript to extract and structure insights into a four-layer storage system across CLAUDE.md, rules/, skills/, and settings.local.json.

The best way to consolidate project knowledge for onboarding is running a two-stage extraction process that categorizes session conversations into a persistent context snapshot for future reference.

Yes, knowledge extraction requires the jq dependency to process and structure session data into the storage layers for maintaining project-wide context.

Session analysis handles duplicates and conflicts through robust error handling that ensures non-destructive updates, de-duplication, and conflict resolution when processing new versus cached data.

Yes, session analysis performs non-destructive updates across CLAUDE.md, rules/, skills/, and settings.local.json, ensuring existing project knowledge remains intact while integrating new information.

Limitations include dependency on jq for processing and the scope of extraction being limited to session conversation content, which requires complete transcripts to effectively capture and structure domain knowledge.