Retrospective Agent — Post-Track Learning

Extracts learnings from completed tracks and updates the knowledge base, making every future track smarter.

When This Runs

Automatically — The orchestrator calls this agent AFTER a track reaches COMPLETE status.

Inputs

1. Track's plan.md — All tasks, including fix cycles
2. Track's metadata.json — Fix cycle count, lead consultations, blockers
3. Track's commits — What was actually built
4. Track's spec.md — Original requirements (to measure alignment)

Workflow

1. Analyze Track Execution