browser

Automate web browser interactions and data extraction via accessibility tree snapshots.

Updated Jun 12, 2026
One-click install
npx skills add https://github.com/BURHANDEV-ENTERPRISE/BURHAN-WEB-DEV --skill browser-burhandev-enterprise
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: browser
Source: https://github.com/BURHANDEV-ENTERPRISE/BURHAN-WEB-DEV/tree/main/.claude/skills/browser
Command: npx skills add https://github.com/BURHANDEV-ENTERPRISE/BURHAN-WEB-DEV --skill browser-burhandev-enterprise

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the complexity of web automation by providing an AI-optimized interface that reduces context overhead by 93% using element references instead of full DOM trees.

Core Features & Use Cases

  • Interactive Automation: Perform clicks, text entry, and navigation using semantic locators or element refs.
  • AI-Optimized Snapshots: Generate compact accessibility trees that allow agents to interact with web pages efficiently.
  • Multi-Session Management: Isolate browser sessions to handle parallel tasks like authentication and data scraping simultaneously.

Quick Start

Use the browser skill to open the target website and capture an interactive snapshot of the page elements.

Frequently Asked Questions about browser

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

FAQPage Schema
How do I automate web browser interactions and data extraction using an AI agent?

AI-optimized web automation maps DOM elements to deterministic references, enabling agents to perform clicks, text entry, and structured data retrieval from dynamic web pages reliably.

Why does web scraping with large language models fail on complex dynamic web pages?

Web scraping fails due to high context overhead from full DOM trees. AI-optimized snapshots generate compact accessibility trees, reducing context overhead by 93% for efficient agent interaction.

How to manage multiple isolated browser sessions for parallel web automation tasks?

Multi-session management isolates browser sessions to handle parallel tasks like authentication and data scraping simultaneously, ensuring independent navigation workflows do not conflict.

Can I perform form submission and navigation using semantic locators instead of CSS selectors?

Yes, interactive automation supports performing clicks, text entry, and navigation using semantic locators or element refs derived from an AI-optimized accessibility tree interface.

What is an AI-optimized accessibility tree for web scraping and how does it work?

An AI-optimized accessibility tree is a compact representation of web page elements that maps DOM nodes to deterministic references, allowing agents to interact with pages efficiently without full DOM context.

Does browser automation require agent-browser integration for reliable execution?

Yes, agent-browser integration is required to map DOM elements to deterministic references, ensuring reliable agent execution during complex workflows like multi-session navigation and form submission.