Can I use this skill to debug API issues?

Yes, it includes specific tools to enable network capture and retrieve requests based on status codes or URL patterns, making it easy to identify failing API calls.

What is the Tabz Browser Automation skill?

It is a specialized capability for Claude Code that allows the AI to control a Chrome browser, perform actions like clicking or typing, and retrieve debugging information via the Tabz MCP server.

How does this skill handle visual elements?

Claude can take screenshots of the entire page or specific elements, inspect CSS styles, and analyze the DOM tree to ensure visual and structural accuracy.

Does it support managing multiple browser tabs?

Yes, it provides tools to list, switch, rename, and even group tabs into color-coded categories, which is essential for managing parallel tasks or complex research.

Tabz Browser Automation

Name: Tabz Browser Automation
Author: GGPrompts

byGGPrompts

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122

Browser Automation

Automates Chrome browser interactions, debugging, and visual inspection using over 70 specialized MCP tools.

About

The Tabz Browser Automation skill provides Claude with comprehensive programmatic control over the Chrome browser via the Tabz MCP server. It features a robust suite of tools for taking screenshots, interacting with web elements, debugging network requests, and profiling page performance. Whether you are performing visual QA, debugging complex API integrations, or managing multi-tab workflows, this skill enables seamless browser-based tasks directly within your AI-assisted development environment.

Key Features

Performance profiling and JavaScript code coverage reporting
Full-featured browser interaction including clicks, form filling, and navigation
Advanced tab and window management for complex, parallel workflows
Deep network debugging with request capture and API failure analysis
Visual inspection tools for screenshots and DOM tree analysis
122 GitHub stars

Use Cases

Debugging real-time console errors and failing API calls within a live browser instance
Automating end-to-end testing and visual regression checks during the development cycle
Programmatically capturing screenshots and page state for documentation or UI/UX audits

About

Key Features

Performance profiling and JavaScript code coverage reporting
Full-featured browser interaction including clicks, form filling, and navigation
Advanced tab and window management for complex, parallel workflows
Deep network debugging with request capture and API failure analysis
Visual inspection tools for screenshots and DOM tree analysis
122 GitHub stars

Use Cases

Debugging real-time console errors and failing API calls within a live browser instance
Automating end-to-end testing and visual regression checks during the development cycle
Programmatically capturing screenshots and page state for documentation or UI/UX audits