browser

Automate web browser navigation, form filling, clicking, and screenshot capture.

Updated Mar 2, 2026
One-click install
npx skills add https://github.com/ExpertVagabond/ruvector --skill browser-expertvagabond
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: browser
Source: https://github.com/ExpertVagabond/ruvector/tree/main/.claude/skills/browser
Command: npx skills add https://github.com/ExpertVagabond/ruvector --skill browser-expertvagabond

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates web browser interactions, making it easy to navigate websites, fill forms, click elements, and capture screenshots, all while optimizing context for AI agents.

Core Features & Use Cases

  • Web Navigation: Open, reload, and navigate back/forward through web pages.
  • Element Interaction: Click, fill input fields, type, hover, select, and toggle checkboxes using various selectors including AI-optimized element refs.
  • Information Retrieval: Extract text, HTML, values, and attributes from web elements, as well as page title and URL.
  • Screenshots: Capture full page screenshots or specific element snapshots.
  • AI-Optimized Snapshots: Reduces context size by using element references instead of full DOM.
  • Use Case: Automate the process of logging into a web application, filling out a multi-step form, and submitting it, all controlled by AI commands.

Quick Start

Use the browser skill to open the URL https://example.com and then fill the input field with the CSS selector '.email-input' with the text '[email protected]'.

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 for an AI agent?

Automating web browser interactions for an AI agent involves using scripts to navigate URLs, fill forms, click elements, and capture screenshots. This skill enables deterministic web automation by supporting CSS selectors and semantic locators for efficient task execution.

How does AI-optimized snapshot capture reduce context size for web scraping?

AI-optimized snapshot capture reduces context size by utilizing element references instead of parsing the full DOM. This mechanism allows AI agents to process web page structures and extract text or HTML efficiently without overwhelming the model's context window.

Can I use CSS selectors and semantic locators for form filling automation?

Yes, you can use CSS selectors and semantic locators for form filling automation. The skill supports interacting with input fields using various selectors, alongside AI-optimized element refs, enabling precise text typing, hovering, and checkbox toggling.

What is the best way to extract text and HTML from web elements using AI automation?

The best way to extract text and HTML from web elements using AI automation is through targeted element references. This approach retrieves specific values and attributes from the page, capturing only the necessary information rather than processing the entire page structure.

Does this browser automation skill support full page screenshot capture?

Yes, this browser automation skill supports full page screenshot capture. It can capture comprehensive snapshots of the entire web page or target specific individual elements, providing visual context optimized for AI processing and verification.

What are the limitations of using element references instead of full DOM for web navigation?

Using element references instead of full DOM for web navigation limits direct access to page-wide structural changes. While it significantly reduces context size for AI agents, developers must rely on specific CSS selectors and semantic locators rather than parsing the complete HTML hierarchy.