session-intelligence-harvester

To capture session learnings, you must extract actionable corrections and patterns, then encode them into a Reusable Intelligence Infrastructure. This process analyzes productive sessions and routes insights to the correct components to prevent issue recurrence.

Automating knowledge management involves analyzing productive sessions to identify format drift and emergent patterns, then routing those learnings to appropriate infrastructure components. This automatically applies codified insights to stabilize future files.

Routing corrections automatically requires encoding session learnings into a structured infrastructure that targets specific components. This governance mechanism routes updates directly to files like CLAUDE.md and chapter-planner to guide future updates.

Yes, you can use a session harvester to fix format drift by identifying the drift during a productive session and routing the correction to the Reusable Intelligence Infrastructure. This ensures the fix is automatically applied to stabilize multiple files.

You should harvest session intelligence when productive sessions yield corrections, new patterns, or format fixes that need permanent organizational knowledge retention. This prevents recurrence by codifying insights across multiple components rather than isolated notes.