session-learnings

Extract recurring issues from coding agent sessions by mining cross-agent histories to identify patterns. The skill synthesizes these patterns to drive self-improvement and prevent repeating mistakes by documenting resolutions.

Perform root cause analysis on past development sessions by gathering evidence from cross-agent histories. The skill identifies underlying issues and documents resolutions with tags and memory integration for future recall.

Store session learnings for future recall by saving each learning with a title, content, tags, and category. The skill integrates these memories to ensure past lessons are accessible for preventing repeated mistakes.

You can analyze tool usage patterns across multiple agent sessions using topic-focused pattern mining. The skill applies evidence gathering across cross-agent histories to generate actionable insights.

No dependencies are required to analyze session histories and extract actionable learnings. The skill operates independently to gather evidence, synthesize patterns, and store memories with tags.