agent-browser

Automate browser navigation, form interactions, and data extraction via CLI.

1|Updated Apr 17, 2026
One-click install
npx skills add https://github.com/justincordova/agents --skill agent-browser-justincordova
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/justincordova/agents/tree/main/skills/agent-browser
Command: npx skills add https://github.com/justincordova/agents --skill agent-browser-justincordova

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Browser automation for AI agents often requires ad-hoc scripts to interact with websites; this Skill provides a self-contained CLI workflow to navigate, fill forms, click elements, and capture data across pages.

Core Features & Use Cases

  • Automates navigation, element interaction, and data extraction in web apps.
  • Supports multi-tab and session-aware workflows with ref-based interactions via snapshots.
  • Use cases include data collection, form automation, testing, QA, and automated website tasks.

Quick Start

Open a website, snapshot interactive elements, and perform a simple form submission to verify the flow.

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 submissions and data extraction from the command line?

Browser automation for web tasks can be handled through a CLI workflow that orchestrates page navigation, form interactions, element clicking, and data capture across multiple pages and tabs.

How does snapshot-based interaction work for web testing and data collection?

Snapshot-based interaction captures interactive elements on a webpage as references, allowing automated scripts to target and interact with those elements reliably across different sessions and tabs.

Can I manage multi-tab and session-aware browser automation workflows for QA testing?

Yes, session-aware workflows support multi-tab browser automation, allowing QA engineers to execute repeatable web tasks, form submissions, and data extraction across multiple open tabs simultaneously.

What's the best way to build repeatable web automation scripts for AI agents without ad-hoc code?

Using a self-contained CLI solution with frontmatter-driven configuration provides structured templates and references, replacing ad-hoc scripts with repeatable workflows for navigation and data collection.

Do I need specific dependencies to run browser automation for form interactions and navigation?

No external dependencies are required; the browser automation CLI is self-contained and uses frontmatter-driven configuration to guide implementation for page navigation and element interaction.

What are the limitations of using a CLI for web automation and data extraction?

As a CLI-based solution, browser automation relies on reference-based interactions via snapshots and frontmatter configuration, requiring developers to define structured workflows rather than executing dynamic scripts.