retro

Generate structured engineering retros from commit history and code-quality signals.

2|1|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/vnmoorthy/Skylog --skill retro-vnmoorthy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: retro
Source: https://github.com/vnmoorthy/Skylog/tree/main/.claude/skills/gstack/retro
Command: npx skills add https://github.com/vnmoorthy/Skylog --skill retro-vnmoorthy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Weekly engineering retro analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking to help teams reflect and improve.

Core Features & Use Cases

  • Per-person contributions breakdown with praise and growth areas to surface individual value and development.
  • Trend detection across sprints to identify patterns in velocity, quality, and collaboration.
  • Proactive retrospective prompts at the end of a sprint or week to keep the team aligned.

Quick Start

Prompt the retro with a request to summarize the latest sprint, highlight key learnings, and suggest actionable next steps.

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?

Generating an engineering retrospective from git commit history involves analyzing recent commits, work patterns, and code-quality signals to produce a structured review of what shipped. The process surfaces per-person contributions and actionable growth opportunities for the team.

What is the best way to track sprint velocity and team performance trends?

Tracking sprint velocity and team performance trends requires persistent history to detect patterns across multiple sprints. Analyzing commit data over time identifies recurring patterns in engineering velocity, code quality, and team collaboration to guide continuous improvement.

How does automated code-quality signal analysis work for sprint reviews?

Automated code-quality signal analysis works by parsing recent git commits and work patterns to extract quality metrics. It structures these signals into a retrospective format, highlighting key learnings and suggesting actionable next steps for the engineering team.

Can I use git retrospective analysis for per-person contribution breakdowns?

Yes, you can use git retrospective analysis to generate per-person contribution breakdowns. It evaluates individual commits to surface specific praise and growth areas, helping teams recognize individual value and identify targeted development opportunities.

When do I need to run a retrospective on recent commits and work patterns?

You need to run a retrospective on recent commits at the end of a sprint or week. Proactive retrospective prompts align with ongoing project cycles, keeping the team synchronized whenever a development milestone is reached or code is shipped.

Does the retrospective analysis require any specific dependencies or components?

No specific dependencies or components are required to run the retrospective analysis. It operates independently to process git history and work patterns, generating structured engineering insights without needing external modules or setup.