browser

Automates web-browser interactions and extracts data via accessibility snapshots and element references.

Updated Feb 26, 2026
One-click install
npx skills add https://github.com/dabblersport/webapp --skill browser-dabblersport
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: browser
Source: https://github.com/dabblersport/webapp/tree/main/.claude/skills/browser
Command: npx skills add https://github.com/dabblersport/webapp --skill browser-dabblersport

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the complexity of web automation by providing an AI-optimized interface that reduces DOM context by 93% using element references, making browser interactions more reliable and efficient for agents.

Core Features & Use Cases

  • Interactive Element Mapping: Automatically identifies and maps buttons, inputs, and links to simple references (e.g., @e1) to prevent selector breakage.
  • Multi-Session Management: Supports isolated browser sessions for parallel tasks like authentication and data scraping.
  • Use Case: Automate complex login flows and data extraction tasks by navigating to a site, capturing an interactive snapshot, and performing actions using stable element references.

Quick Start

Use the browser skill to open the target website and capture an interactive snapshot to begin your automation workflow.

Frequently Asked Questions about browser

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

FAQPage Schema
How does AI web automation handle complex DOM element selection?

AI web automation handles complex DOM selection by mapping interactive elements like buttons and inputs to simplified references (e.g., @e1). This reduces DOM context by 93% and prevents selector breakage during navigation and form submission.

How do I automate multi-session web scraping and authentication flows?

You can automate multi-session web scraping by using isolated browser sessions for parallel tasks. Navigate to the target site, capture an interactive snapshot, and execute login or data extraction actions using stable element references.

Does this web scraping approach require agent-browser integration?

Yes, automating web interactions requires agent-browser integration to map DOM elements into simplified, context-efficient interactive references. This integration enables AI-optimized accessibility snapshots for agentic web tasks.

What is the best way to prevent selector breakage during web navigation?

The best way to prevent selector breakage during web navigation is using AI-optimized interactive element mapping. It automatically identifies links and inputs, mapping them to simple, stable references to maintain reliable automation workflows.

Why does web automation fail with large DOM contexts?

Web automation often fails with large DOM contexts because complex HTML structures overwhelm AI processing and cause selector breakage. Reducing DOM context by 93% through element references solves this by providing context-efficient interactive snapshots.