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retro

Analyze Git history to generate weekly engineering retrospectives with per-author metrics.

Updated Mar 16, 2026
Search Tags:#git#analytics#productivity#metrics#engineering#retro#team-performance
One-click install
npx skills add https://github.com/shihwesley/shihwesleys-harness --skill retro-shihwesley
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: retro
Source: https://github.com/shihwesley/shihwesleys-harness/tree/main/skills/gstack/retro
Command: npx skills add https://github.com/shihwesley/shihwesleys-harness --skill retro-shihwesley

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Weekly engineering retrospectives are time-consuming and inconsistently tracked; this skill automates collection, analysis, and narrative generation from VCS history to produce a cohesive, team-aware retro.

Core Features & Use Cases

  • Analyzes commit history and authors to identify contributions, patterns, and growth opportunities.
  • Generates per-author breakdowns, time-series trends, and focus metrics to inform planning.
  • Produces a narrative that explains team health, shipping velocity, and areas for improvement for leadership review.

Quick Start

Run the retro skill for the last 7 days to generate a weekly summary.

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 history?▼

Engineering retrospectives analyze Git commit data to calculate per-author statistics, time-based patterns, and team contributions. This skill parses VCS history to assemble metrics like commits, LOC, tests, and PRs into a narrative summary suitable for leadership review.

Can I track per-person engineering contributions and team performance metrics automatically?▼

Track per-person engineering contributions automatically by parsing Git commit history to calculate per-author statistics. The skill identifies individual contributions, focus areas, and growth opportunities, producing tabular metrics and a narrative explaining overall team health and shipping velocity.

Does this tool work for analyzing engineering team performance of any size?▼

Yes, this tool works for analyzing engineering team performance of any size. It parses commit data and PR history to calculate per-author statistics and time-series trends, generating a cohesive, team-aware retrospective regardless of how many developers are contributing.

What is the best way to automate code activity analysis for leadership review?▼

The best way to automate code activity analysis for leadership review is parsing VCS history to generate a narrative summary of team health. This skill transforms weekly commit data, shipping velocity, and focus metrics into a cohesive narrative explaining trends and areas for improvement.

How do I calculate per-author statistics and focus areas from commit data?▼

Calculate per-author statistics from commit data by parsing Git history to identify individual contributions and time-based patterns. The skill assembles metrics such as commits, LOC, tests, and PRs into per-author breakdowns, highlighting specific focus areas and opportunities for growth.

What metrics are included in a Git-based engineering retrospective?▼

A Git-based engineering retrospective includes metrics such as commits, LOC, tests, and PRs. It calculates per-author statistics, time-series trends, and focus areas to produce both tabular metrics and a narrative summary explaining team health and shipping velocity.

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