browser

Automate browser navigation, clicking, form filling, and screenshots using AI-optimized snapshots.

1|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/MarcoDava/MockCortex --skill browser-marcodava
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: browser
Source: https://github.com/MarcoDava/MockCortex/tree/main/.agents/skills/browser
Command: npx skills add https://github.com/MarcoDava/MockCortex --skill browser-marcodava

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates repetitive and error-prone browser interactions for software agents by using AI-optimized snapshots and stable element references, reducing manual test and interaction time.

Core Features & Use Cases

  • AI-optimized snapshots to rapidly capture the page structure with element refs
  • Deterministic interactions using refs instead of brittle selectors
  • Support for navigation, clicking, form filling, screenshots, and data extraction across modern web apps

Quick Start

Open a page, take an AI-optimized snapshot of the accessibility tree, then interact with elements using refs.

Frequently Asked Questions about browser

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

FAQPage Schema
How do I automate browser interactions without brittle CSS selectors?

Browser automation can use AI-optimized snapshots of the accessibility tree to generate stable element references, replacing brittle selectors with deterministic interactions for reliable web testing and form filling across diverse web apps.

What is an AI-optimized snapshot for web testing?

An AI-optimized snapshot captures page structure via an accessibility tree view and assigns deterministic element refs. This allows software agents to rapidly understand page layout and interact with UI controls deterministically for web testing.

Can I use this browser automation skill to fill forms and take screenshots?

Yes, you can automate web interactions including opening pages, filling forms, clicking controls, taking screenshots, and extracting data. It manages isolated browser sessions to ensure reliable execution across diverse web testing tasks.

What's the best way to extract data from modern web apps using AI agents?

The best way to extract data is using AI-optimized snapshots to capture the accessibility tree, then leveraging stable element references to locate and pull information deterministically across diverse modern web applications.

Why does my browser automation break when page layouts change?

Browser automation often breaks because traditional CSS selectors are brittle. Using AI-optimized snapshots with stable element refs instead of selectors ensures deterministic interactions that withstand UI layout changes reliably.