retro

Analyze commit history and work patterns to generate weekly engineering retrospective reports.

1|Updated Oct 9, 2018

Search Tags:#code quality #workflow #retrospective #engineering #commit analysis #development trends

Ready to run

npx skills add https://github.com/Apostolos-Delis/Dotfiles --skill retro-apostolos-delis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: retro
Source: https://github.com/Apostolos-Delis/Dotfiles/tree/main/.agents/skills/retro
Command: npx skills add https://github.com/Apostolos-Delis/Dotfiles --skill retro-apostolos-delis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of conducting weekly engineering retrospectives by analyzing commit history, work patterns, and code quality.

Core Features & Use Cases

Commit History Analysis: Reviews Git commit logs to understand development activity.
Work Pattern Identification: Identifies trends in how work is being done.
Shipping Velocity Tracking: Measures the speed at which features or fixes are delivered.
Code Quality Assessment: Analyzes code quality metrics over time.
Persistent History: Maintains a historical record for trend analysis.
Use Case: A team lead can use this skill to get a weekly summary of development progress, identify bottlenecks, and track improvements in code quality.

Quick Start

Run the retro skill to generate the weekly engineering retrospective report.

Frequently Asked Questions about retro

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

FAQPage Schema

How do I automate an engineering retrospective from git commit history?▼

You can automate an engineering retrospective by analyzing git commit history to review development activity, identify work patterns, and track shipping velocity. This process automatically generates a weekly summary of development progress and code quality trends.

What is commit analysis for tracking development trends and shipping velocity?▼

Commit analysis for development trends involves reviewing Git logs to measure shipping velocity and identify work patterns. It tracks how quickly features are delivered and monitors code quality metrics over time to highlight bottlenecks.

Can I track code quality metrics over time using persistent retrospective history?▼

Yes, you can track code quality metrics over time by maintaining a persistent historical record of retrospective data. This allows for continuous trend analysis, helping you monitor improvements and identify recurring issues across weekly development cycles.

Do I need Bash and file system tools to analyze weekly engineering retrospectives?▼

Yes, analyzing weekly engineering retrospectives requires Bash, Read, Write, and Glob tools. These file system tools are necessary to interact with the repository, process commit data, and maintain the persistent history records used for trend analysis.

What's the best way to identify development bottlenecks in a software development team?▼

The best way to identify development bottlenecks is by analyzing commit history and work patterns to measure shipping velocity. Tracking these development trends weekly highlights where delays occur and helps team leads monitor code quality improvements.

Why does my engineering retrospective not capture long-term development trends?▼

Your engineering retrospective may not capture long-term development trends if it lacks persistent history. Maintaining a historical record of commit analysis and code quality metrics is required to perform continuous trend analysis and track improvements over time.