agent-browser

Automate browser navigation, form filling, screenshots, and data extraction via CLI.

1.8k|247|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/phodal/routa --skill agent-browser-phodal
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/phodal/routa/tree/main/.agents/skills/agent-browser
Command: npx skills add https://github.com/phodal/routa --skill agent-browser-phodal

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI agents face challenges interacting with dynamic web pages and extracting data; this Skill provides a browser automation CLI to control navigation, forms, and content from websites.

Core Features & Use Cases

  • Navigate to pages, fill forms, click elements, take screenshots, and extract text or data programmatically.
  • Support for deterministic interactions via snapshot-based refs, session management, and multi-session workflows.
  • Use cases include automated testing, QA verification, data gathering, login automation, and content validation across domains.

Quick Start

Open a URL and begin automating common browser tasks with a single command.

Frequently Asked Questions about agent-browser

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

FAQPage Schema
How do I automate browser tasks with AI agents?

You can automate browser tasks with AI agents by using a CLI that drives navigation, form filling, and data extraction. It relies on deterministic snapshots and element refs to execute reliable web automation across multiple sessions.

What is the best way to automate web testing for dynamic pages?

Automating web testing for dynamic pages is best handled through snapshot-based element refs that provide deterministic interactions. This approach allows agents to safely navigate, click elements, and verify content without breaking under dynamic DOM changes.

How do I extract data from websites programmatically using an AI agent?

To extract data from websites programmatically, an AI agent uses a browser automation CLI to navigate to pages and pull text or data directly. It supports optional scripts and assets to gather content across multiple domains reliably.

Can I manage multiple browser sessions for automated logins?

Yes, you can manage multiple browser sessions for automated logins. The automation CLI supports session management, allowing AI agents to handle distinct login workflows and maintain state across different concurrent interactions.

Does browser automation work with snapshot-based element refs for clicking?

Yes, browser automation works directly with snapshot-based element refs for clicking and navigating. This deterministic method ensures that AI agents interact with the exact elements captured in the snapshot, driving safe and reliable web automation.

When do I need deterministic snapshots for web automation?

You need deterministic snapshots for web automation when interacting with dynamic web pages where element selectors frequently change. Using snapshot-based refs ensures safe, reliable automation by anchoring actions to a stable captured state rather than fragile DOM queries.