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retro

Analyze Git histories and code-quality metrics to generate structured weekly retro reports.

1|Updated Mar 26, 2026
Search Tags:#git#analytics#metrics#commits#software#team#retro
One-click install
npx skills add https://github.com/apeejay-education/cadencesprout --skill retro-apeejay-education
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: retro
Source: https://github.com/apeejay-education/cadencesprout/tree/main/.agents/skills/gstack-retro
Command: npx skills add https://github.com/apeejay-education/cadencesprout --skill retro-apeejay-education

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Retrospectives help engineering teams understand what went well, what didn't, and how to improve by aggregating commit history, work patterns, and code-quality metrics into a persistent, trend-aware narrative.

Core Features & Use Cases

  • Persistent history and trend tracking of per-person contributions with praise and growth suggestions.
  • Team-aware reflection that highlights top contributors, bottlenecks, and areas for process improvement across sprints.
  • Automated generation of actionable improvement plans for upcoming work based on historical signals from commits, test activity, and file hotspots.

Quick Start

Ask to run a weekly retro for the current sprint to generate a team-focused report with growth recommendations.

Frequently Asked Questions about 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 commit history?▼

You can automate sprint retrospectives by analyzing Git histories and code-quality metrics to generate a structured weekly retro. This process highlights team contributions, sentiment, and growth areas while providing actionable recommendations for the upcoming sprint.

What is a team-aware engineering retrospective and how does it work?▼

A team-aware engineering retrospective aggregates Git commit histories and code-quality metrics to evaluate per-author contributions alongside team bottlenecks. It tracks persistent history and trends across sprints to highlight top contributors and areas for process improvement.

Can I use Git analytics to track individual developer contributions and growth areas?▼

Yes, Git analytics can track individual developer contributions by analyzing commit histories and code-quality metrics to generate per-author praise and growth suggestions. It evaluates personal activity against file hotspots and test coverage signals to identify specific improvement areas.

What's the best way to analyze code-quality metrics and test coverage for sprint improvement?▼

The best way to analyze code-quality metrics and test coverage for sprint improvement is to aggregate Git histories and software metrics into a structured weekly retro. This identifies the most changed files and test activity signals to generate actionable recommendations for the upcoming sprint.

Does this retrospective tool require any external dependencies or components to function?▼

No, this retrospective tool requires zero external dependencies or components to function. It operates independently to analyze Git histories and code-quality metrics, generating structured metadata outputs for integration with your existing tooling without additional software.

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