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.

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

Quick Start

# 1. Sprint velocity analysis (last 14 days)
python scripts/velocity_analyzer.py --days 14 --format json > velocity.json

# 2. Contributor deep dive
python scripts/contributor_insights.py --days 14 --format json > contributors.json

# 3. Code churn analysis
python scripts/code_churn_analyzer.py --days 14 --format json > churn.json