retro

Name: retro
Availability: InStock
Author: stayconnectquick

Analyze weekly commit activity and generate retrospective reports with growth suggestions.

Updated May 6, 2026

Search Tags:#engineering #code-quality #commit-history #retro #team-growth

Ready to run

npx skills add https://github.com/stayconnectquick/gstack --skill retro-stayconnectquick

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: retro
Source: https://github.com/stayconnectquick/gstack/tree/main/retro
Command: npx skills add https://github.com/stayconnectquick/gstack --skill retro-stayconnectquick

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Weekly engineering retrospectives are labor-intensive to assemble; this Skill analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking to surface actionable insights.

Core Features & Use Cases

Automated retrospective synthesis: Collects commit activity, PRs, and code quality signals to generate a concise retro.
Team-aware contributions: Breaks down per-person activity with praise and growth areas.
Proactive guidance: Suggests retro actions at the end of a sprint or week.

Quick Start

Summarize the latest week's commits, work patterns, and growth opportunities into a concise retro report.

Frequently Asked Questions about retro

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

FAQPage Schema

How do I automate weekly engineering retrospectives from commit history?▼

Automated engineering retrospectives are generated by analyzing weekly commit activity, PR metadata, and code quality signals to produce a concise report with actionable growth suggestions. This eliminates manual assembly by surfacing work pattern trends and per-person contributions directly from repository history.

What is included in a team-aware engineering retrospective breakdown?▼

Team-aware retrospectives break down per-person engineering activity using commit metadata and PR data, highlighting individual praise and growth areas. This provides visibility into team contributions and code quality trends without manual aggregation.

How do I track code quality and work pattern trends across weekly sprints?▼

Trend tracking across weekly sprints requires persistent retrospective data combined with commit history and PR activity. This allows you to surface work pattern trends and generate growth guidance by comparing current engineering metrics against historical baselines.

Do I need repository access to generate retrospective growth guidance?▼

Repository access is required to generate retrospective growth guidance, as the analysis depends on commit metadata, PR activity, and code quality signals. Persistent retrospective data storage is also needed to track trends and produce actionable insights over time.

Can I use this for project retrospectives instead of weekly sprints?▼

Project retrospectives are supported alongside weekly sprints. The analysis applies to any engineering cycle by collecting commit activity, work patterns, and code quality metrics to generate concise reports with per-person contributions and proactive guidance.