reflect

To capture real-time learnings during team conversations, initiate a reflection session using the 'reflect' command. The skill actively identifies and records learnings from user corrections, praise, and edge case discovery as the discussion unfolds.

Conversation analysis for team knowledge management is the process of extracting critical learnings from discussions to prevent recurring mistakes. This approach categorizes patterns into High, Medium, and Low confidence levels for future reference.

Pattern recognition categorizes confidence levels by analyzing conversation outcomes and extracting patterns into High, Medium, and Low confidence tiers. This structured categorization helps teams preserve successful patterns and avoid documented mistakes.

Yes, you can integrate captured learnings with existing team knowledge systems. The skill specifically works with Squad knowledge systems to ensure extracted conversation patterns are preserved and accessible for future reference.

You need to document learnings after a complex task to review edge case discoveries, user corrections, and successful patterns. Capturing these insights immediately prevents critical knowledge loss and improves future team knowledge.

Real-time learning capture requires active conversation participation to identify corrections and edge cases. The skill depends on the ongoing discussion context, meaning offline or asynchronous communication may not be fully captured without explicit session initiation.