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simbotNL
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gstack

Automate software development stages with AI agents and browser-based tools.

Updated Aug 23, 2026
Search Tags:#release management#code review#debugging#browser automation#ai automation
One-click install
npx skills add https://github.com/simbotNL/BT --skill gstack-simbotnl
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gstack
Source: https://github.com/simbotNL/BT/tree/main/plugins/gstack
Command: npx skills add https://github.com/simbotNL/BT --skill gstack-simbotnl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

GStack addresses the challenges of complex software development workflows by automating repetitive tasks, facilitating collaboration, and improving code quality through structured AI agent interactions.

Core Features & Use Cases

  • AI Agent Workflow: Specialized agents handle specific tasks like code review, debugging, design audits, and more.
  • Browser Integration: Seamless integration with a headless browser for automated testing and scraping.
  • Real-time Monitoring: Live activity feed and real-time interaction with AI agents.
  • Use Case: For a developer working on a new feature, use the /review skill to automatically check for potential bugs before code is merged.

Quick Start

Start the GStack Browser to begin using its suite of AI-powered development tools.

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 tasks in my software development workflow?▼

Automate complex software development tasks by deploying AI agents with structured roles to handle code review, debugging, and deployment. This approach uses a browser-based interface to manage persistent state and monitor agent activity.

Can I use browser automation for testing and scraping within a continuous deployment pipeline?▼

You can integrate browser automation for testing and scraping by utilizing a headless browser within the deployment pipeline. This enables seamless automated checks and data extraction during the release management process.

What is the best way to structure AI agents for planning and implementation stages?▼

The best way to structure AI agents is assigning them specific roles across planning, implementation, review, and deployment stages. Maintain context and track progress using persistent state management and a live activity feed.

Does automated code quality assurance work with a headless browser interface?▼

Automated code quality assurance works with a headless browser interface by deploying specialized AI agents to perform design audits and debug issues. This setup facilitates real-time monitoring and interaction during automated testing.

Why do I need persistent state management for AI automation in release management?▼

Persistent state management is essential for AI automation in release management to maintain context across complex development stages. It ensures structured AI agents reliably execute planning, implementation, and deployment tasks without losing progress.

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