Analyze Git history and code quality signals to generate engineering retrospectives.
npx skills add https://github.com/gaaschk/gaasch-family --skill retro-gaaschk
Please help me install this Agent Skill. Skill: retro Source: https://github.com/gaaschk/gaasch-family/tree/main/.claude/skills/gstack/retro Command: npx skills add https://github.com/gaaschk/gaasch-family --skill retro-gaaschk
Weekly retrospectives that analyze commit history, work patterns, and code quality metrics to surface praise and growth opportunities for team members, with persistent history.
Run the retro skill to generate a weekly summary from the last 7 days and optionally compare with the prior window.
High-intent search queries and answers about installing and using this skill.
Generate an engineering retrospective by analyzing a 7-to-30-day window of git history and code quality signals. The tool produces a narrative report with quantitative metrics, including commits, lines of code, and test signals.
Yes, you can analyze per-author code contributions to highlight individual praise and growth opportunities. It evaluates commit history, insertions, deletions, and code hotspots to provide a team-aware per-person breakdown.
Compare engineering metrics across different time windows by applying the analysis to 7d, 14d, 30d, or compare modes. This generates a structured recap showing quantitative differences in commits, tests, and code health.
A git analytics retrospective includes code quality signals such as test signals, code hotspots, insertions, deletions, and overall code health. These metrics are aggregated into a clear table and executive summary.
Yes, the weekly retrospective output supports a JSON snapshot or report format. The structured recap includes a concise executive summary, metric tables, and per-author breakdowns suitable for planning.
The best way to run a team-aware weekly code retrospective is to analyze the last 7 days of git history and optionally compare it with the prior window. This surfaces work patterns and code quality metrics for team improvement.
lucas-flatwhiteGenerate structured retrospective reports from git history and PR data.
abhishekmmgnGenerate structured weekly retrospective narratives from git history, timelines, and learnings.
fghaffarGenerate weekly engineering retrospective reports from Git commit history and metrics.
singhianand23045Analyze Git commit history to generate weekly engineering retrospectives with per-author praise.
