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agent-browser

Automate browser tasks via CLI for form filling and data extraction.

Updated Apr 8, 2026
Search Tags:#data extraction#screenshots#browser automation#ai agents#session management#forms#web interaction
One-click install
npx skills add https://github.com/alexyegong/xiaowuji --skill agent-browser-alexyegong
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/alexyegong/xiaowuji/tree/main/skills/agent-browser
Command: npx skills add https://github.com/alexyegong/xiaowuji --skill agent-browser-alexyegong

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI agents often need hands-free browser automation to perform tasks that require real web interaction, but constructing reliable, repeatable automation by hand is tedious and error-prone.

Core Features & Use Cases

  • Navigate to URLs and interact with pages using a simple CLI
  • Snapshot the page to derive element references, then fill forms, click controls, take screenshots, or extract data
  • Support for authentication patterns, session management, and parallel sessions for scalable automation
  • Use cases include automated testing, data extraction, form submission, login automation, and site monitoring

Quick Start

Open a URL with agent-browser, snapshot to discover element refs, then interact 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 web interaction and form submission for AI agents?▼

Automate web interaction for AI agents by using a CLI to open pages, snapshot element references, and execute deterministic command chains for form submission. This approach handles automated login and data extraction through reliable, repeatable browser sessions.

What is the best way to extract data from websites using browser automation?▼

Data extraction via browser automation involves navigating to a URL, taking a page snapshot to derive element references, and pulling data using those refs. This enables hands-free web testing and site monitoring without manual element inspection.

Can I manage parallel sessions for scalable browser automation?▼

Yes, scalable browser automation supports parallel session management. You can maintain multiple concurrent sessions to handle automated testing and data extraction across different websites simultaneously using safe authentication strategies.

How does deterministic command chaining work for web testing?▼

Deterministic command chaining for web testing works by snapshotting a page to capture element references, then sequentially issuing CLI commands to fill forms, click controls, and capture screenshots. This ensures repeatable automation across local files and websites.

Does browser automation work with safe authentication patterns for automated login?▼

Yes, browser automation supports safe authentication strategies for automated login. It applies secure session management to handle login automation, allowing AI agents to interact with authenticated pages without exposing credentials directly in scripts.

Why use page snapshots with element refs instead of direct CSS selectors for web interaction?▼

Page snapshots with element refs provide a stable abstraction layer for web interaction compared to brittle CSS selectors. This method allows AI agents to dynamically discover page elements, ensuring reliable form submission and data extraction even when page structures shift.

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