gstack-openclaw-retro

Generate weekly engineering retrospectives from git commit history and code quality metrics.

3|14|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/cegit27/moodle-proctor --skill gstack-openclaw-retro-cegit27
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-openclaw-retro
Source: https://github.com/cegit27/moodle-proctor/tree/main/.claude/skills/gstack/openclaw/skills/gstack-openclaw-retro
Command: npx skills add https://github.com/cegit27/moodle-proctor --skill gstack-openclaw-retro-cegit27

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the hours of manual work engineering teams spend compiling weekly retrospectives, automatically pulling actionable insights from git commit history instead of relying on memory or scattered notes.

Core Features & Use Cases

  • Automated Metric Calculation: Pulls commit counts, LOC changes, PR counts, test ratios, and session patterns directly from git history.
  • Team-Aware Analysis: Identifies each contributor, highlights per-person wins with specific commit examples, and flags gentle, data-backed growth opportunities.
  • Trend Tracking: Saves retro snapshots to compare week-over-week progress on velocity, code quality, and team habits.
  • Use Case: An engineering lead running a weekly retro can use this Skill to instantly generate a full report with team wins, bottlenecks, and actionable improvements, no manual data gathering required.

Quick Start

Use the gstack-openclaw-retro skill to generate a full weekly engineering retrospective for your current git repository.

Frequently Asked Questions about gstack-openclaw-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?

Generate a weekly engineering retrospective by analyzing git commit history to automatically calculate commit counts, LOC changes, PR counts, test ratios, and session patterns. This replaces manual data gathering with actionable insights for sprint reviews.

What metrics are included in an automated git analysis for sprint reviews?

Automated git analysis for sprint reviews includes commit counts, lines of code changes, PR counts, test ratios, and session detection. It identifies per-author wins, flags growth opportunities, and saves snapshots to track week-over-week team velocity trends.

Can I track individual contributor performance and code churn using git history?

Track individual contributor performance and code churn by applying per-author breakdowns to git history. The analysis highlights specific commit examples for team wins and provides data-backed growth opportunities without manual review.

Do I need a specific git repository setup to run an engineering retrospective?

You need access to a git repository with existing commit history to run an engineering retrospective. The analysis supports configurable time windows, allowing you to target specific weeks or custom date ranges for your sprint review data.

How does week-over-week trend monitoring work for team velocity?

Week-over-week trend monitoring works by saving persistent retro snapshots from your git history. These stored snapshots allow direct comparison of team velocity, code quality metrics, and engineering habits across consecutive weeks.

What is the best way to automate engineering retrospective preparation?

Automate engineering retrospective preparation by pulling actionable insights directly from git commit history instead of relying on memory or scattered notes. This instantly generates a full report covering team bottlenecks, wins, and actionable improvements.