Generate weekly engineering retrospectives from Git commit history and code metrics.
npx skills add https://github.com/jianshuo/Cathier --skill retro-jianshuo
Please help me install this Agent Skill. Skill: retro Source: https://github.com/jianshuo/Cathier/tree/main/.claude/skills/gstack/retro Command: npx skills add https://github.com/jianshuo/Cathier --skill retro-jianshuo
This Skill automates the generation of comprehensive weekly engineering retrospectives, analyzing code contributions, identifying team patterns, and highlighting areas for improvement.
/retro at the end of each week to get a detailed report on team velocity, code quality, and individual performance, enabling data-driven discussions and improvements.Run the retro skill for the last 7 days of activity.
High-intent search queries and answers about installing and using this skill.
You can automate engineering retrospectives by running the retro skill, which analyzes Git commit history, author contributions, and code quality metrics to generate detailed weekly reports. It tracks performance trends and identifies areas for team improvement.
Automated weekly code retrospectives track team velocity, code quality, and individual performance patterns. The analysis compares current Git data against historical trends to highlight progress, regressions, and actionable feedback for continuous improvement.
Yes, you can generate individual performance insights from Git author data. The retrospective analysis evaluates author contributions to provide specific feedback, recognizing individual achievements and identifying growth opportunities within the team.
You can compare current team performance against historical engineering trends by running the retrospective tool. It evaluates current Git metrics alongside historical retrospective data to show progress and regressions over time, enabling data-driven team discussions.
No, you do not need additional dependencies to analyze code quality metrics from Git. The retrospective skill operates independently, utilizing built-in Git commands and data processing scripts to gather commit history and generate comprehensive reports.
The best way to track team velocity and code quality over time is through automated weekly retrospectives. By consistently analyzing Git commit history and engineering metrics, the tool identifies performance patterns and provides actionable feedback for continuous improvement.
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