capture-learnings

You capture session learnings by summarizing what was learned, what worked, and what could improve into a structured memory record. This creates a dated, schema-driven log with session metadata like duration and project context for future review.

Documenting reflection patterns across sessions requires storing structured records of actionable learnings and observations. By enforcing a defined schema for session metadata and patterns, it builds a persistent memory that guides future work and process improvements.

Yes, you can link Beads issue tracking to session learnings. The capture process optionally accepts related issues and follow-up tasks, establishing traceability between your documented reflections and active issue tracking items.

You structure session metadata using a defined schema that enforces fields like session_date, session_duration, project_context, learnings, what_worked, to_improve, and patterns. This schema-driven storage ensures consistent documentation for future reuse.

No dependencies are required to record what worked and what could improve in your sessions. The skill operates independently to capture actionable learnings and persist them into a structured memory record without external components.

Capturing actionable learnings into a structured memory record rather than plain text ensures schema-driven storage of session metadata and patterns. This structured approach enables reliable retrieval and review of past sessions to guide future work and improve processes.