gstack

Coordinate Playwright browser automation and QA workflows in a project workspace.

Updated Apr 6, 2025
One-click install
npx skills add https://github.com/yolopunk/jedi --skill gstack-yolopunk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gstack
Source: https://github.com/yolopunk/jedi/tree/main/.claude/skills/gstack
Command: npx skills add https://github.com/yolopunk/jedi --skill gstack-yolopunk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires playwright, diff, @anthropic-ai/sdk.

What problem does it solve?

gstack provides a fast headless browser and integrated AI-powered workflow orchestrator for QA testing and product dogfooding, enabling efficient single-person sprints at scale.

Core Features & Use Cases

  • Built-in browser daemon powered by Playwright for deterministic QA testing and visual dogfooding.
  • Integrated workflow skills (Office Hours, CEO/Eng review, Eng/Design reviews, QA, ship, canary, and more) that coordinate across the lifecycle.
  • Local-first telemetry and observability to track skill usage and improvement, with privacy-conscious defaults.
  • Simple dev and deployment workflow: a single binary, minimal dependencies, and SKILL.md-driven prompts to guide activites.

Quick Start

Start a browse session with the gstack CLI and run a test flow against your app.

Frequently Asked Questions about gstack

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

FAQPage Schema
How do I automate headless browser QA testing with Playwright?

Headless browser QA testing is automated by running a local daemon that coordinates deterministic navigation and visual dogfooding against your application. You start a browse session via the CLI to execute reproducible test flows without a visible browser UI.

Can I run product dogfooding workflows locally without a remote backend?

Product dogfooding workflows can run entirely local-first using a single binary with minimal dependencies. The integrated orchestrator coordinates review and ship lifecycle skills while keeping telemetry and observability data within your local environment.

What is AI-powered workflow orchestration for software engineering?

AI-powered workflow orchestration coordinates Claude and Codex-driven skills to navigate, validate, and ship changes within a single project workspace. It integrates QA, design review, and deployment skills to enable efficient single-person sprints at scale.

Does this QA testing orchestrator require complex dependencies to set up?

The QA testing orchestrator requires minimal dependencies, relying primarily on Playwright for browser automation and the Anthropic SDK for AI integration. It operates as a single binary with SKILL.md-driven prompts to guide development activities.

How do I track skill usage and test observability during local development?

Skill usage and test observability are tracked through built-in local-first telemetry with privacy-conscious defaults. This lightweight observability monitors skill execution and improvement directly within your local development environment.

When should I use a headless browser daemon instead of manual QA testing?

A headless browser daemon is ideal when you need deterministic QA testing, reproducible test runs, and rapid visual dogfooding. It replaces manual testing when executing single-person sprints that require coordinated lifecycle reviews and shipping.