One-click install
npx skills add https://github.com/shenxingy/Clade --skill retro-shenxingy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: retro
Source: https://github.com/shenxingy/Clade/tree/main/configs/skills/retro
Command: npx skills add https://github.com/shenxingy/Clade --skill retro-shenxingy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Retro skill turns git history into a clear, week-ready engineering retrospective so you can quickly understand development velocity, commit patterns, and hotspots without manual analysis.

Core Features & Use Cases

  • Time-window commit analytics: Summarizes commits, authors, lines added/removed, active days, and unique files changed for a chosen period.
  • Work-session and pattern insights: Detects work sessions from commit gaps and highlights hourly distribution plus commit-type mix.
  • Hotspot and ship-of-the-week reporting: Identifies most-changed files as churn hotspots and picks the most significant change to spotlight.

Quick Start

Ask the AI for a weekly report by saying: "Run /retro 7d to generate a retrospective from my repository’s git history for the last 7 days."

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 an engineering retrospective from git history, use commit analytics to quantify development velocity, detect work sessions from commit timing, and identify churn hotspots. This produces a data-driven report for week-over-week team reviews.

What is commit analytics for development velocity measurement?

Commit analytics for development velocity measurement is the process of computing commit volume, lines added or removed, and active days from a repository. It reveals team work patterns and coding trends for a specified time window.

How do I detect churn hotspots in a git repository?

To detect churn hotspots in a git repository, analyze commit history to identify the most frequently changed files within a chosen period. This highlights areas of high code volatility and potential maintenance risk.

Can I compare week-over-week development patterns using git logs?

Yes, you can compare week-over-week development patterns using git logs by analyzing commit volume and work session timing across equivalent time windows. This comparison highlights shifts in development velocity and commit-type mix.

How do I identify work sessions from git commit timing?

To identify work sessions from git commit timing, analyze the time gaps between sequential commits. Detecting these clusters reveals hourly distribution patterns and uninterrupted coding periods for retrospective reporting.

Do I need external dependencies to analyze commit patterns?

No, you do not need external dependencies to analyze commit patterns. The retrospective generation operates independently by directly parsing standard git history, computing metrics, and deriving work sessions without additional tools.