Analyzes commit history and work patterns for engineering retrospectives.
npx skills add https://github.com/npc-chris/dfn-discovery --skill retro-npc-chris
Please help me install this Agent Skill. Skill: retro Source: https://github.com/npc-chris/dfn-discovery/tree/main/.agents/skills/gstack/retro Command: npx skills add https://github.com/npc-chris/dfn-discovery --skill retro-npc-chris
This Skill helps teams perform a comprehensive weekly engineering retrospective by analyzing commit history, work patterns, and code quality metrics.
Execute the /retro command to start the weekly engineering retrospective process.
High-intent search queries and answers about installing and using this skill.
Analyze git commit history to perform an engineering retrospective by extracting work patterns and code quality metrics. The Skill inspects commit logs to evaluate per-contributor contributions and generate actionable insights over customizable time frames.
Commit history analysis for team work patterns is the process of inspecting git logs to evaluate individual contributions and code quality trends. It breaks down engineering activity per-contributor to highlight praise and growth areas for improving coding practices.
Yes, you can configure the time frame for a git commit retrospective. The analysis supports customizable time windows such as the last 7, 14, or 30 days, allowing you to focus the work pattern and code quality evaluation on your specific reporting period.
Yes, you need both Python and git installed to analyze commit logs. These dependencies are required to execute the scripts that parse commit history, evaluate code quality metrics, and generate the per-contributor retrospective insights.
Yes, you can run a cross-project retrospective across multiple AI coding tools. The global retro option provides a cross-project perspective, aggregating commit history and work pattern analysis beyond a single repository.
The best way to analyze per-contributor code quality from git logs is to use a scripted retrospective tool that automatically breaks down contributions by individual team members. This approach highlights specific growth areas and praise points based on commit history metrics.
alangebPerform Git bisecting, cherry-picking, and log analysis operations locally.
ManzuetiGenerate engineering retrospective reports from commit history and work patterns.
ManzuetiWrap project tools to compute a weighted codebase health score.
kk20300113-pngAnalyze git commit history to generate weekly engineering retrospective reports.
