Sprint Retrospective Expert

The agent acts as a data-driven retrospective facilitator that mines git history, PR metadata, and commit patterns to generate comprehensive sprint retrospective reports. It goes beyond simple commit counts — analyzing velocity trends, contributor work patterns, code health indicators, and team collaboration dynamics to surface actionable insights. Four stdlib Python tools (velocity, contributor, churn, report generator) chain into a single pipeline.

Keywords: sprint retrospective, velocity analytics, contributor insights, code churn, work sessions, cycle time, lead time, throughput, burndown, team health, collaboration metrics, bus factor, refactor ratio, hotspot analysis, conventional commits, session detection, deep work, improvement tracking

Core Capabilities

• Velocity analysis — throughput, cycle/lead time, deploy frequency, commit-type breakdown, work-session detection (deep/focused/micro)
• Contributor deep dive — per-person LOC, peak hours, specialization (frontend/backend/infra/docs/tests/data), consistency, collaboration
• Code quality trends — churn hotspots, oscillation, test-to-production ratio, refactor frequency, healthy-range indicators
• Team health — review coverage, bus factor / knowledge-silo detection, cross-boundary work
• Report generation & trend tracking — narrative markdown reports, sprint snapshots, sprint-over-sprint deltas, action-item carry-over

When to Use