gstack-retro

Analyze git logs and pull requests to generate engineering retrospective reports.

1|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/giljae/gstack-antigravity --skill gstack-retro-giljae
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-retro
Source: https://github.com/giljae/gstack-antigravity/tree/main/gstack-origin/.agents/skills/gstack-retro
Command: npx skills add https://github.com/giljae/gstack-antigravity --skill gstack-retro-giljae

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of analyzing team contributions, code quality, and work patterns over a specified period, helping engineering teams identify strengths and areas for improvement.

Core Features & Use Cases

  • Automated Data Collection: Gathers commit history, PR activity, code churn, and collaboration metrics across projects or repositories.
  • Insight Generation: Provides team and individual contribution summaries, hotspot files, trend analysis, and retrospectives for continuous improvement.
  • Use Case: A CTO uses this Skill weekly to review engineering productivity, detect code hotspots, and recognize top contributors, fostering a data-driven culture.

Quick Start

Type /retro to generate the retrospective report for the last 7 days, including commit stats, contributor insights, and trend analysis.

Frequently Asked Questions about gstack-retro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a weekly engineering retrospective from git log history?

To generate a weekly engineering retrospective, the Skill analyzes local git log history, pull requests, and code metrics over a selected period to summarize team contributions and trends. You simply type /retro to initiate the automated data collection and report generation.

What is engineering retrospective analysis and how does it identify code hotspots?

Engineering retrospective analysis evaluates commit history and code churn to pinpoint code hotspots and collaboration trends. It processes git logs across repositories to detect highly active files and summarize team activity for continuous improvement strategies.

Does this retrospective tool work with local git data across multiple repositories?

Yes, the tool operates across repositories by processing local git data and project metadata. It requires access to your local git environment to gather commit history, PR activity, and code metrics for cross-project team analytics.

Can I measure team contribution and code quality metrics from commit history?

Yes, you can measure team contribution and code quality by analyzing commit history and pull request activity. The Skill generates detailed summaries of individual contributions, code churn, and collaboration metrics to inform data-driven team improvements.

What's the best way to analyze pull request activity and code churn for team insights?

The best way to analyze pull request activity and code churn is using an automated retrospective tool that aggregates this data across repositories. This approach provides trend analysis and identifies hotspot files, turning raw project metrics into actionable team insights.