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gstack-openclaw-retro

Automates engineering retrospectives by analyzing commit history, work patterns, and code quality metrics.

1|Updated Mar 24, 2026
Search Tags:#code quality#engineering metrics#commit history#team analysis#retro
One-click install
npx skills add https://github.com/greencm/gstuck --skill gstack-openclaw-retro-greencm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gstack-openclaw-retro
Source: https://github.com/greencm/gstuck/tree/main/output/gstack/openclaw/skills/gstack-openclaw-retro
Command: npx skills add https://github.com/greencm/gstuck --skill gstack-openclaw-retro-greencm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of conducting weekly engineering retrospectives, analyzing commit history, work patterns, and code quality metrics, saving time and providing valuable insights into team performance.

Core Features & Use Cases

  • Commit History Analysis: Analyzes commit history to identify work patterns and code quality metrics.
  • Team Awareness: Identifies contributors and provides per-person contributions, praise, and growth areas.
  • Use Case: Use this Skill when preparing for a weekly engineering retro to quickly generate a comprehensive report on the team's activities and performance.

Quick Start

Run the gstack-openclaw-retro skill with the 'last 7 days' argument to generate a weekly engineering retro report.

Frequently Asked Questions about gstack-openclaw-retro

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

FAQPage Schema
How do I automate weekly engineering retrospectives using commit history?▼

You can automate weekly engineering retrospectives by analyzing commit history, work patterns, and code quality metrics to generate a comprehensive report on team performance and activities.

Can I analyze code quality metrics and team contributions from git history?▼

Yes, analyzing git commit history identifies contributors and provides per-person contributions, praise, and growth areas based on their work patterns and code quality metrics.

What is the best way to prepare for a team engineering retro?▼

The best way to prepare for a team engineering retro is to run an automated analysis on the last 7 days of commit history to quickly identify work patterns, code quality metrics, and per-person contributions.

Do I need git and python to generate an engineering retro report?▼

Yes, you need git and python installed, as the retro automation requires these dependencies to process commit data and run the various analysis tools needed for the report.

Does generating an engineering retro report identify individual team members?▼

Yes, generating an engineering retro report identifies team members from the commit history and provides specific insights into their individual contributions and areas for improvement.

What limitations exist when automating retrospectives with commit history analysis?▼

Automating retrospectives with commit history analysis is limited by the data within your git repository, meaning it only evaluates engineering metrics and work patterns visible through the commit data.

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