What problem does it solve? Engineering teams lack visibility into what actually shipped each week, how work patterns affect output, and whether code quality is trending up or down. This Skill turns raw git history into a structured retrospective with metrics, session analysis, and per-person breakdowns. ## Core Features & Use Cases - Commit and Metrics Analysis: Aggregates commits, PRs, insertions, deletions, test LOC ratio, and active days over a configurable window (24h, 7d, 14d, 30d). - Work Pattern Detection: Builds hourly commit histograms, detects coding sessions using a 45-minute gap threshold, and classifies deep, medium, and micro sessions. - Team-Aware Breakdowns: Identifies the current user via git config and produces a per-author leaderboard with focus areas, commit type mix, praise, and growth opportunities. - Use Case: At the end of a sprint, run /retro compare 14d to see how this period's shipping velocity, fix ratio, and test coverage compare against the prior two weeks. ## Quick Start Ask the AI to run a weekly engineering retrospective over the last 7 days of this repository's commit history.
