gstack

Automate software development workflows with AI agents and a headless browser.

1|Updated May 8, 2026
One-click install
npx skills add https://github.com/npc-chris/dfn-discovery --skill gstack-npc-chris
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack
Source: https://github.com/npc-chris/dfn-discovery/tree/main/.agents/skills/gstack
Command: npx skills add https://github.com/npc-chris/dfn-discovery --skill gstack-npc-chris

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

gstack addresses the challenge of coordinating complex AI-driven software development workflows by providing a suite of specialized skills that automate various stages of the development process.

Core Features & Use Cases

  • Structured Roles for AI Agents: Assigns specialized roles such as CEO reviewer, eng manager, designer, QA lead, and release engineer to streamline the development process.
  • Persistent Browser and State: Provides a persistent browser and state management to ensure sub-second latency and persistent state for continuous interaction.
  • Headless Browser Automation: Utilizes a headless browser for efficient automation of web-based tasks without the need for manual intervention.
  • Multi-step Workflows: Supports complex workflows that include multiple steps, such as code review, testing, deployment, and documentation generation.
  • Design Mockups: Offers the ability to generate visual design mockups for UI ideas, enabling designers and developers to collaborate more effectively.
  • Community Contributions: Encourages community involvement through pull requests and contributions, fostering a collaborative development environment.

Quick Start

Start by running the /office-hours skill to refine your product idea.

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 in my software development workflow?

Automating code review and debugging in your software development workflow involves assigning specialized AI agent roles like QA lead and release engineer to streamline the process. This coordination ensures structured multi-step workflows for testing and deployment.

What is the best way to coordinate AI agents for end-to-end software development?

The best way to coordinate AI agents for end-to-end software development is using structured roles like CEO reviewer and eng manager. This approach manages complex workflows from design consultation to deployment with persistent state management.

How do I use a headless browser for web automation in AI-driven development?

Using a headless browser for web automation in AI-driven development enables efficient execution of web-based tasks without manual intervention. It relies on a persistent browser and state management system to ensure sub-second latency for continuous interaction.

Can I generate UI design mockups automatically during the software development process?

You can generate visual design mockups automatically during the software development process to facilitate UI ideas. This feature allows designers and developers to collaborate more effectively within the automated workflow.

Does AI-driven workflow automation support multi-step processes like documentation generation and testing?

AI-driven workflow automation supports complex multi-step processes including documentation generation, testing, and deployment. It utilizes a suite of specialized AI skills to handle different stages of the development process end-to-end.

Why do I need persistent state management for continuous interaction in automated development workflows?

Persistent state management is needed for continuous interaction in automated development workflows to maintain context across multi-step processes. It guarantees sub-second latency and keeps the persistent browser session active for reliable web automation.