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gstack

Automate code review, debugging, and deployment with AI agents.

Updated Jun 4, 2026
Search Tags:#code review#debugging#deployment#productivity#AI engineering#design review
One-click install
npx skills add https://github.com/burgebj/gstack --skill gstack-burgebj
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gstack
Source: https://github.com/burgebj/gstack/tree/main
Command: npx skills add https://github.com/burgebj/gstack --skill gstack-burgebj

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires playwright, bun, anthropic, Claude Code, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive AI-driven engineering workflow, automating various stages of software development and enhancing productivity.

Core Features & Use Cases

  • AI Agents: Specialized AI agents for various roles like CEO, eng manager, designer, QA lead, and release engineer.
  • Browser Integration: Headless browser access for real-time interaction with web pages.
  • Skill-based Automation: Automate tasks like code review, debugging, design review, and deployment using AI skills.
  • Use Case: Imagine you are working on a software project. Use gstack to automate code review, debugging, and deployment, significantly reducing manual effort and improving efficiency.

Quick Start

Start the gstack browser and navigate to your project's website. Use AI agents like /review for code review, /QA for bug fixing, and /ship for deployment.

Frequently Asked Questions about gstack

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code review and debugging for my software project?▼

You can automate code review and debugging by using specialized AI agents that analyze your software project, identify bugs, and provide actionable feedback to reduce manual engineering effort. This AI-driven workflow targets the entire development lifecycle.

Can I use AI agents to handle software deployment and design audits?▼

Yes, you can use specialized AI agents to handle software deployment and design audits. The workflow includes agents for release engineering and design review, enabling automated design audits and streamlined deployment processes.

How does browser integration work for real-time interaction with web pages during development?▼

Browser integration provides headless browser access for real-time interaction with web pages during development. You start the browser, navigate to your project's website, and use AI agents to interact with and audit the live application.

Do I need Playwright and Bun to run this AI engineering workflow?▼

Yes, you need Playwright and Bun as dependencies to run this AI engineering workflow. The environment also requires Anthropic and Claude Code to support the specialized AI agents and headless browser integration.

What is the best way to streamline the entire software development lifecycle with AI?▼

The best way to streamline the software development lifecycle with AI is to deploy specialized agents for roles like CEO, eng manager, QA lead, and release engineer, automating tasks from code review to deployment.

Why use role-based AI agents instead of general AI for engineering tasks?▼

Role-based AI agents provide specialized focus for engineering tasks compared to general AI. Dedicated agents for roles like QA lead and designer deliver targeted analysis for bug fixing and design review, yielding more accurate and context-aware results.

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