gstack-openclaw-retro

Analyze git commit history to generate weekly engineering retrospectives.

1|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/a29paul/hexlens --skill gstack-openclaw-retro-a29paul
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-openclaw-retro
Source: https://github.com/a29paul/hexlens/tree/main/.claude/skills/gstack/openclaw/skills/gstack-openclaw-retro
Command: npx skills add https://github.com/a29paul/hexlens --skill gstack-openclaw-retro-a29paul

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually compiling weekly engineering updates, tracking team contributions, and identifying code quality trends from scattered git history is time-consuming and error-prone. This Skill automates the entire process to deliver actionable insights in seconds.

Core Features & Use Cases

  • Automated Git Analysis: Parses commit history, LOC changes, PR data, test ratios, and work session patterns across custom time windows (24h to 30d).
  • Team-Aware Breakdowns: Generates per-contributor leaderboards, personalized praise anchored to actual commits, and targeted growth opportunities for each team member.
  • Trend Tracking: Saves retro snapshots to local memory to compare week-over-week progress on shipping velocity, test discipline, and focus metrics.
  • Use Case: An engineering lead can run this Skill after a sprint to get a ready-to-share retrospective for their team, no manual data gathering required.

Quick Start

Use the gstack-openclaw-retro skill to generate a weekly engineering retrospective for the 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 history?

To generate a weekly engineering retrospective, you can run the Skill against your git repository to analyze commit metrics, LOC changes, and work session patterns. It automatically parses the default branch history to produce actionable team insights.

Can I track developer productivity and shipping velocity over custom time windows?

You can track developer productivity and shipping velocity across custom time windows ranging from 24 hours to 30 days. The Skill analyzes commit history to calculate shipping velocity and saves snapshots for trend comparison.

Does this tool work with any git repository for team code quality analysis?

Yes, it requires access to a git repository with commit history on the default branch to perform team code quality analysis. It parses commit data, test ratios, and PR data to evaluate code quality metrics for the team.

How do code quality metrics and individual contributor work patterns get calculated?

Code quality metrics and individual contributor work patterns are calculated by parsing git commits, LOC changes, and test ratios. The Skill generates per-contributor leaderboards and identifies personalized growth opportunities based on actual commits.

What is the best way to compare week-over-week engineering progress automatically?

The best way to compare week-over-week engineering progress is by persisting retrospective snapshots to a local memory directory. This allows the Skill to track trends in shipping velocity, test discipline, and focus metrics over time.

Are there limitations to analyzing commit history for sprint retrospectives?

A limitation is that the analysis requires commit history on the default branch, meaning detached commits or unmerged branches are excluded. Retrospective snapshots are also stored locally, which restricts trend tracking to a single environment.