gstack-openclaw-retro

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

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/scanbott/claude-skills --skill gstack-openclaw-retro-scanbott
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-openclaw-retro
Source: https://github.com/scanbott/claude-skills/tree/main/gstack/openclaw/skills/gstack-openclaw-retro
Command: npx skills add https://github.com/scanbott/claude-skills --skill gstack-openclaw-retro-scanbott

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze a week's commit history to generate a comprehensive engineering retrospective.

Core Features & Use Cases

  • Per-author contribution analysis with growth opportunities
  • Time-window based metrics (commits, LOC, tests, PRs) and hotspot identification
  • Telegram-ready narrative and weekly ship insights for stakeholders

Quick Start

Run the retro generator for the current window to produce the narrative and save it to memory.

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 team engineering retrospective from weekly git commit history?

Run the retro generator on a weekly window of git commit history to produce per-author metrics, code quality signals, and hotspots. It outputs focus scores, session patterns, and a stakeholder-ready narrative summarizing the team's engineering performance.

Can I compare engineering metrics across different weekly windows for my team?

Yes, you can compare engineering metrics across weekly windows using the optional compare mode. This feature leverages history persistence to track team performance trends, per-author contributions, and code quality signals over time.

What metrics are included in a code quality and team performance retro?

A code quality and team performance retro includes per-author metrics, focus scores, PR-size estimates, and session patterns. It also highlights contribution hotspots and time-window based data like commits, LOC, and tests to inform planning and growth.

Does the retrospective output a format suitable for sharing with stakeholders?

Yes, the retrospective outputs a Telegram-ready narrative and weekly ship insights suitable for sharing with stakeholders. This format summarizes the team's engineering contributions, focus scores, and growth opportunities in a readable summary.

What do I need to analyze per-author contributions and identify code hotspots?

To analyze per-author contributions and identify code hotspots, you need access to your team's weekly git commit history. The tool processes this commit data to highlight contribution hotspots, session patterns, and growth opportunities for engineers.

When should I use an automated engineering retro instead of manual code reviews?

Use an automated engineering retro when you need to assess weekly team performance metrics and session patterns across multiple authors. It complements manual code reviews by providing quantitative focus scores and PR-size estimates to inform planning.