browser

Automate web browser interactions using AI-optimized snapshots and element references.

7|1|Updated Mar 27, 2026
One-click install
npx skills add https://github.com/pacphi/emailibrium --skill browser-pacphi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: browser
Source: https://github.com/pacphi/emailibrium/tree/main/.claude/skills/browser
Command: npx skills add https://github.com/pacphi/emailibrium --skill browser-pacphi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Web automation often requires repetitive manual steps across complex web apps. This skill provides AI-optimized browser control to streamline navigation, form interactions, and data extraction with reliable element references.

Core Features & Use Cases

  • AI-optimized snapshots reduce DOM context to essential interactive elements for faster, more reliable automation.
  • Deterministic interactions with element refs (e.g., @e1, @e2) to handle dynamic pages without brittle selectors.
  • Command toolkit including open, snapshot, click, fill, screenshot, and close to support end-to-end browser workflows.
  • Use cases include automated login flows, form submissions, multi-page data extraction, and automated testing.

Quick Start

Open a page with agent-browser open https://example.com, snapshot the interactive elements, and interact using element refs like @e2.

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 repetitive tasks?

Browser automation for repetitive tasks is handled by applying AI-optimized snapshots to reduce DOM context, enabling reliable navigation, form filling, and data extraction across multi-step web flows.

What is the best way to handle dynamic web pages without brittle CSS selectors?

Dynamic web pages are managed using deterministic element references like @e1 or @e2, which target interactive elements directly from AI-optimized snapshots instead of relying on brittle selectors.

How do I extract data from multiple web pages using automated scripts?

Multi-page data extraction is executed by opening a URL, generating a snapshot of interactive elements, and using command-driven actions like click and fill to navigate and capture data across web flows.

Does this browser automation approach support end-to-end automated testing?

End-to-end automated testing is supported through a command toolkit featuring open, snapshot, click, fill, screenshot, and close actions, which validate multi-step web application workflows robustly.

Can I manage multiple browser sessions for complex web automation workflows?

Complex web automation workflows are supported by robust session management, allowing command-driven browser control to maintain state across navigation, form submissions, and multi-step interactions.

Why do my web automation scripts fail on complex web apps with heavy DOMs?

Web automation scripts fail on heavy DOMs due to excessive context; AI-optimized snapshots reduce the DOM to essential interactive elements, ensuring faster and more reliable automated interactions.