retro

Analyze git commit history to generate weekly engineering retrospectives.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/Jia-Hong-Peng/jolike.com --skill retro-jia-hong-peng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: retro
Source: https://github.com/Jia-Hong-Peng/jolike.com/tree/main/.claude/skills/gstack/retro
Command: npx skills add https://github.com/Jia-Hong-Peng/jolike.com --skill retro-jia-hong-peng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Engineering teams often lack structured reflection on their work, leading to repeated mistakes and unclear accountability. This Skill automates weekly retrospectives by analyzing git history, commit patterns, and code quality metrics to surface what shipped, who contributed what, and where bottlenecks emerged.

Core Features & Use Cases

  • Commit History Analysis: Automatically reviews commits from the past week to identify shipped features, bug fixes, and refactors.
  • Team Contribution Breakdown: Highlights per-person contributions with specific praise for strong work and gentle growth areas for improvement.
  • Trend Tracking: Maintains persistent history across sprints to spot patterns in velocity, code quality, and team workload.
  • Use Case: A team lead running their Friday afternoon retro can instantly see that the frontend team shipped 12 commits while the backend team struggled with 3 blocking bugs, and get talking points for the meeting without digging through GitHub.

Quick Start

Use the retro skill to analyze this week's commits and generate a team retrospective report.

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?

To generate a weekly engineering retrospective from git commit history, you can use this Skill to automatically analyze commit patterns and code quality metrics. It surfaces shipped features, bug fixes, and team contributions to provide data-driven insights for sprint review reflection.

What is the best way to track team velocity and engineering metrics across sprints?

Tracking team velocity and engineering metrics across sprints requires persistent storage for historical data. This Skill maintains historical records to spot patterns in workload and code quality, replacing anecdotal recall with trend analysis during sprint reviews.

Can I automate sprint review preparation by analyzing commit patterns?

Yes, you can automate sprint review preparation by analyzing commit patterns. This Skill reviews weekly commits to identify who contributed what and where bottlenecks emerged, instantly generating actionable talking points for team communication workflows.

Do I need persistent storage to track engineering health checks and historical metrics?

Yes, persistent storage is required to track engineering health checks and historical metrics. This Skill needs persistent storage to maintain historical data across sprints, enabling accurate trend tracking for team velocity and code quality over time.

How does commit analysis identify team contributions and bottlenecks for a Friday retro?

Commit analysis identifies team contributions and bottlenecks by automatically reviewing weekly commits to highlight per-person contributions. It surfaces specific praise for strong work and gentle growth areas, showing exactly what shipped and where blockers emerged for a Friday retro.

What are the limitations of using git history for team retrospective insights?

Using git history for team retrospective insights is limited to commit data and requires integration with team communication workflows to deliver actionable feedback loops. It does not capture off-platform work or discussions, focusing solely on repository activity to generate engineering metrics.