retro

Analyze git history to generate engineering team retrospective reports.

1|Updated Mar 15, 2026

Search Tags:#git #code review #retrospective #project analysis #team performance

Ready to run

npx skills add https://github.com/blakeox/llm-skills --skill retro-blakeox

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured approach to evaluating engineering performance through analyzing git history, enabling teams to identify strengths and weaknesses objectively.

Core Features & Use Cases

Historical Analysis: Examines git commits, PRs, and contributor activity over specified time ranges.
Performance Feedback: Generates clear summaries of development progress, wins, and issues based on version control data.
Use Case: A team wants to evaluate their recent sprint. They use this Skill to identify top contributors, frequent file modifications, and bottlenecks.

Quick Start

Ask the AI to generate a weekly retrospection report based on the latest git history for your project.

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 history?▼

To generate a retrospective from git history, analyze commit logs and PR data over a specific time range to extract development progress, bottlenecks, and contributor activity. This provides objective performance feedback for your team.

What is a data-driven project analysis for team performance?▼

Data-driven project analysis for team performance evaluates engineering output by examining git commits and contributor activity. It identifies top contributors, frequent file modifications, and development bottlenecks to highlight strengths and weaknesses objectively.

Can I use git commits to evaluate sprint progress and identify bottlenecks?▼

Yes, you can use git commits to evaluate sprint progress by analyzing version control data over the sprint period. This highlights development wins, frequent file modifications, and bottlenecks to generate a comprehensive performance summary.

What do I need to provide for a code review retrospective based on version control data?▼

For a retrospective based on version control data, you need access to git logs and relevant project information. Cherry-picking specific project details allows the analysis to accurately highlight progress, issues, and improvement opportunities.

Does analyzing git history for team performance require any external dependencies?▼

No, analyzing git history for team performance requires no external dependencies. It operates directly on your git logs and project information to generate structured performance summaries without needing additional integrations.

When should I use automated git analysis instead of manual project evaluation?▼

Use automated git analysis instead of manual project evaluation when you need objective, structured retrospectives highlighting team progress and issues. It is ideal for teams seeking data-driven performance reviews based on commit and PR data.