skills.rest
GitLaw-co
GitLaw-coOFFICIAL
Explore all skills by this author →
GitHub

agent-browser

Automate browser navigation, form filling, clicks, and data capture for AI agents.

Updated Nov 24, 2025
Search Tags:#automation#workflow#qa#web-testing#ai-agent#browser#data-extraction
One-click install
npx skills add https://github.com/GitLaw-co/documenso --skill agent-browser-gitlaw-co
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/GitLaw-co/documenso/tree/main/.agents/skills/agent-browser
Command: npx skills add https://github.com/GitLaw-co/documenso --skill agent-browser-gitlaw-co

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI agents often struggle to interact with dynamic web applications, requiring reliable, programmable browser control to automate tasks such as navigation, form filling, button clicks, screenshot capture, and data extraction.

Core Features & Use Cases

  • Command-driven browser automation for AI agents to navigate pages, fill forms, click elements, capture screenshots, and fetch page data.
  • Use cases include automated testing, QA validation, login/workflow automation, and data collection from web sources for analysis.

Quick Start

Open a website with agent-browser and take an initial snapshot with element references.

Frequently Asked Questions about agent-browser

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

FAQPage Schema
How do I automate web form filling and navigation for AI agents?▼

Browser automation for AI agents works through a command-driven interface that executes navigation, form filling, and element clicks. It relies on a snapshot and reference workflow to locate elements and persist state across interactions.

Can I use this for QA testing and login workflow automation?▼

Yes, browser automation supports QA testing and login workflow automation by executing click and fill commands. It captures screenshots and fetches page data to validate login flows and test web apps.

Do I need a front-end command interface to extract data from web pages?▼

Yes, data extraction requires a front-end command interface with a documented snapshot and reference workflow. This interface allows AI agents to navigate pages and fetch data reliably.

Does browser automation work with single-page apps and dynamic web content?▼

Yes, browser automation works with single-page apps and dynamic web content. It programmatically controls browser interactions to navigate dynamic elements and capture data.

Does browser automation support multi-session and proxy configurations?▼

Yes, browser automation includes optional multi-session and proxy support. This enables you to run parallel data extraction tasks and manage network routing during automated testing.

Related Skills

Explore More Software Engineering Skills→
velamints2velamints2

Agent Browser

Automates headless browser interactions via a command-line interface for AI agents.

Community
Advanced
ViewWayViewWay

glmv-stock-analyst

Aggregate multi-source stock data into structured Markdown and HTML reports.

Community
Advanced
NguyenvanleNguyenvanle

agent-browser

Drive browser automation for AI agents via CLI commands.

Community
Advanced
LogicPyLogicPy
8

Agent Browser

Automate web page navigation, element interaction, and data extraction.

Community
Advanced