agent-browser

Automates browser navigation, form filling, and data extraction via CLI commands.

Updated Mar 12, 2026
One-click install
npx skills add https://github.com/meytalp-dev/ort-training --skill agent-browser-meytalp-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/meytalp-dev/ort-training/tree/main/.agents/skills/agent-browser
Command: npx skills add https://github.com/meytalp-dev/ort-training --skill agent-browser-meytalp-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI agents often need to automate browser tasks but lack a robust, scriptable interface to control navigation, form interactions, data extraction, and testing. This Skill provides a CLI-driven browser automation framework that enables reliable, repeatable web tasks for AI agents.

Core Features & Use Cases

  • Navigate to URLs, manage sessions, and snapshot the page to discover interactive elements
  • Interact with elements via refs, fill forms, click buttons, extract text, and take screenshots
  • Supports authentication workflows, data extraction, testing, and content capture for automation pipelines
  • Includes advanced patterns for workflows, including parallel sessions, frames, iframes, and debugging aids

Quick Start

Open a URL, snapshot to obtain element refs, then interact with elements using those refs.

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 like form filling and data extraction using an AI agent?

Browser automation for AI agents is achieved through a CLI-driven interface that controls navigation, fills forms, extracts data, and captures content. You open a URL, snapshot the page to discover interactive elements, then interact using element refs.

What is the best way to handle authentication workflows in web automation scripts?

Authentication workflows in web automation are managed by controlling browser sessions through a CLI, allowing AI agents to reliably log in, manage sessions, and interact with dynamic content behind authenticated pages.

Can I use CLI browser automation for testing dynamic web content?

Yes, CLI browser automation supports testing dynamic web content by enabling AI agents to navigate pages, snapshot interactive elements, click buttons, and take screenshots for reliable, repeatable testing workflows.

Does browser automation work with complex site interactions like frames and iframes?

Browser automation supports complex site interactions including frames, iframes, and parallel sessions. It provides advanced patterns and debugging aids to ensure deterministic automation across intricate page structures.

What are the limitations of using a CLI to control web scraping and browser automation?

Using a CLI for browser automation requires obtaining element refs via page snapshots before interaction, meaning scripts must follow a structured workflow of snapshotting and referencing rather than executing direct, unscripted browser actions.