retro

Analyze commit history, PRs, and test signals to generate engineering retrospective snapshots.

Updated Mar 12, 2026
One-click install
npx skills add https://github.com/AkbarDevop/gstack-codex --skill retro-akbardevop
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: retro
Source: https://github.com/AkbarDevop/gstack-codex/tree/main/retro
Command: npx skills add https://github.com/AkbarDevop/gstack-codex --skill retro-akbardevop

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Weekly engineering retrospectives help teams understand shipping velocity, work patterns, and code quality trends over time, enabling data-driven improvements.

Core Features & Use Cases

  • Automated collection of commit histories, PR activity, and test signals to reveal velocity, hotspots, and quality metrics.
  • Trend-aware narrative generation that highlights focus areas, risks, and actionable next steps for engineering teams.
  • Customizable windows (7d, 14d, 30d) and compare mode to surface week-over-week changes.

Quick Start

Run retro to generate the latest seven-day engineering retrospective.

Frequently Asked Questions about retro

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

FAQPage Schema
How do I generate an engineering retrospective from git commit history and PR activity?▼

To generate an engineering retrospective, this Skill parses git commit histories, diff statistics, PR references, and test signals to output a structured snapshot of velocity, quality trends, and collaboration patterns.

What is the best way to track software team velocity and code quality trends over time?▼

Tracking software team velocity and code quality trends is achieved by analyzing engineering activity within customizable windows like 7, 14, or 30 days, surfacing week-over-week changes for data-driven process improvements.

Can I use commit history analysis for custom time windows beyond a standard weekly retrospective?▼

Yes, commit history analysis supports custom windows including 7-day, 14-day, and 30-day periods, alongside a compare mode to expose week-over-week changes in shipping velocity and work patterns.

How does session analysis expose engineering collaboration patterns and risks?▼

Session analysis exposes engineering collaboration patterns and risks by parsing git history and diff statistics to reveal activity hotspots, focus areas, and actionable next steps for the team.

Do I need specific test signal integrations to analyze code quality trends in a weekly retro?▼

Yes, parsing test indicators and signals is required alongside commit histories and PR activity to accurately expose code quality trends and guide engineering accountability within the retro snapshot.