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gs:retro

Analyze commit history and code quality metrics to create engineering retrospective reports.

34|6|Updated Apr 19, 2026
Search Tags:#code analysis#retrospective#commit history#engineering workflow#team insights
One-click install
npx skills add https://github.com/thanh-abaii/gstack-windows-port --skill gs-retro
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gs:retro
Source: https://github.com/thanh-abaii/gstack-windows-port/tree/main/skills/gstack-retro
Command: npx skills add https://github.com/thanh-abaii/gstack-windows-port --skill gs-retro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gstack-agent, python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the weekly engineering retrospective process by analyzing commit history, work patterns, and code quality metrics, providing a team-aware breakdown of contributions and areas for growth.

Core Features & Use Cases

  • Commit History Analysis: Analyze code commits for insights into work patterns and contributions.
  • Code Quality Metrics: Assess code quality using various metrics and track trends over time.
  • Team Awareness: Break down contributions by individual team members, highlighting praise and areas for improvement.
  • Use Case: At the end of a sprint, use this Skill to generate a comprehensive report on the team's progress and identify areas for enhancement.

Quick Start

Run the /gs:retro skill to get a detailed retrospective report for your team.

Frequently Asked Questions about gs:retro

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

FAQPage Schema
How do I automate an engineering retrospective from commit history?▼

You can automate an engineering retrospective by analyzing commit history and code quality metrics to identify individual contributions, work patterns, and trends. The gs:retro skill generates a comprehensive report detailing team progress and areas for enhancement.

Can I analyze code quality metrics and team contributions for a sprint review?▼

Yes, you can assess code quality metrics and track trends over time for a sprint review. The skill provides a team-aware breakdown of contributions, highlighting individual praise and specific areas for improvement.

Do I need the gstack agent to access repository data for code analysis?▼

Yes, you need the gstack agent to access repository data and Python libraries to perform the analysis. The skill depends on these components to automate the creation of engineering retrospectives.

What is the best way to generate team insights from code commits?▼

The best way to generate team insights from code commits is to analyze work patterns and contributions systematically. This approach simplifies the weekly retrospective process by providing a detailed breakdown of team progress.

How does analyzing commit history identify areas for improvement in engineering workflows?▼

Analyzing commit history identifies areas for improvement by tracking work patterns, contributions, and code quality trends. This reveals individual and team-wide growth areas, streamlining the weekly engineering retrospective process.

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