Generate weekly engineering retrospectives from git commit history and test signals.
npx skills add https://github.com/MFS-code/gstack --skill retro-mfs-code
Please help me install this Agent Skill. Skill: retro Source: https://github.com/MFS-code/gstack/tree/main/retro Command: npx skills add https://github.com/MFS-code/gstack --skill retro-mfs-code
It turns your repo activity into a clear weekly engineering retrospective so you can understand what shipped, how quality changed, and where to improve.
Invoke the retrospective for the last 7 days by asking for /retro.
High-intent search queries and answers about installing and using this skill.
A weekly engineering retrospective analyzes repository commit history, contributor activity, and test health signals over a chosen time window. It summarizes commits, code churn, and team productivity automatically.
Engineering retrospective trend tracking compares current git analytics against prior stored snapshots to measure progress. You need it to understand week-over-week changes in code quality, test health, and team productivity.
Yes, you can run a global cross-project retrospective. When requested, the tool aggregates commit analysis and contributor activity across multiple repositories to provide a unified view of team productivity.
You analyze team productivity by specifying a time window like 24h, 7d, or 30d. The tool computes contributor metrics, identifies what each person worked on, and generates leaderboards with growth opportunities.
Yes, the retrospective tracks test health and code quality signals by evaluating test changes within the git history. It computes these metrics alongside code churn to assess overall repository health.
Git analytics for team productivity measurement relies solely on commit history and code churn, meaning it cannot capture non-code contributions, uncommitted local work, or qualitative engineering context.
yocxy2Analyze git commit history to generate engineering retrospectives.
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JaykaijackGenerate engineering retrospectives from git history and metrics.
