gstack-openclaw-retro

Generate weekly engineering retrospectives from git commit history and contributor patterns.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/Jia-Hong-Peng/jolike.com --skill gstack-openclaw-retro-jia-hong-peng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack-openclaw-retro
Source: https://github.com/Jia-Hong-Peng/jolike.com/tree/main/.claude/skills/gstack/openclaw/skills/gstack-openclaw-retro
Command: npx skills add https://github.com/Jia-Hong-Peng/jolike.com --skill gstack-openclaw-retro-jia-hong-peng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually compiling weekly engineering updates, tracking individual team contributions, and identifying code quality trends is time-consuming and often inconsistent. This Skill automates the entire process by analyzing git commit history to deliver structured, data-driven retrospectives.

Core Features & Use Cases

  • Automated Metric Calculation: Computes commits, LOC changes, test ratios, session patterns, and PR sizes directly from git history without manual data entry.
  • Team-Aware Feedback: Generates per-contributor breakdowns with commit-anchored praise and specific, actionable growth opportunities for each team member.
  • Trend Tracking: Saves historical retro snapshots to compare week-over-week metrics like shipping velocity, test coverage, and fix rates.
  • Use Case: Engineering leads can run this Skill during weekly team syncs to get a ready-to-share retrospective with individual feedback, instead of spending hours pulling and analyzing git data manually.

Quick Start

Use the gstack-openclaw-retro skill to generate a 7-day engineering retrospective for your current git repository, including team contribution breakdowns and trend comparisons if prior retros exist.

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 data-driven engineering retrospective from git commit history?

You can generate a data-driven engineering retrospective by analyzing git commit history, code changes, and contributor activity patterns. This process automates metric calculation for commits, LOC changes, and test ratios to deliver structured team feedback and historical trend comparisons.

What is the best way to track developer productivity and code metrics for a weekly team sync?

The best way to track developer productivity and code metrics for a weekly team sync is to automate git analysis. This approach computes commits, PR sizes, and session patterns, generating per-contributor breakdowns with actionable feedback instead of spending hours pulling data manually.

Can I compare week-over-week code quality trends and shipping velocity across any git repository?

Yes, you can compare week-over-week code quality trends and shipping velocity across any git repository. By saving historical retrospective snapshots, the system allows you to compare metrics like test coverage and fix rates over custom time windows.

How do I automate individual contributor reviews using commit tracking data?

To automate individual contributor reviews using commit tracking data, analyze contributor activity patterns within your git history. This generates team-aware feedback, providing commit-anchored praise and specific growth opportunities tailored to each developer's metrics.

Does this automated retrospective tool support custom time windows for git analysis?

Yes, this automated retrospective tool supports custom time windows for git analysis. You can specify exact date ranges, such as a standard 7-day retrospective, to compute session patterns, test ratios, and code changes for your specified period.