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agent-browser

Automate browser navigation, form filling, and data extraction via snapshot-based element refs.

12|2|Updated Jan 27, 2026
Search Tags:#testing#headless#refs#web-automation#browser-automation#agent-browser
One-click install
npx skills add https://github.com/jikig-ai/soleur --skill agent-browser-jikig-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/jikig-ai/soleur/tree/main/plugins/soleur/skills/agent-browser
Command: npx skills add https://github.com/jikig-ai/soleur --skill agent-browser-jikig-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI agents often struggle to interact with dynamic web interfaces. agent-browser provides a ref-based control model to automate browser navigation, element interaction, and data extraction, reducing manual testing and repetitive tasks.

Core Features & Use Cases

  • Snapshot interactive elements to generate stable refs for automation.
  • Navigate, interact, and extract data across web pages using lightweight CLI commands.
  • Support sessions for parallel browsers and robust error handling to recover from navigation failures.

Quick Start

Open a URL with agent-browser and take a snapshot to identify element refs before interacting.

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 browser interactions for AI agents?▼

You can automate browser interactions for AI agents by using a ref-based control model to navigate pages and fill forms. This approach uses snapshot-based element refs to execute interaction commands and extract data across web apps.

What is a ref-based control flow for browser automation?▼

Ref-based control flow generates stable references for interactive elements by taking page snapshots. AI agents use these lightweight refs to reliably target elements for navigation, form filling, and data extraction tasks.

Can I run parallel browser sessions for web automation testing?▼

Yes, you can run parallel browser sessions for web automation testing. The system supports multiple concurrent sessions with robust error handling to recover from navigation failures during automated tasks.

How do I extract data from dynamic web pages using browser automation?▼

You extract data from dynamic web pages by taking a snapshot to identify element refs, then using interaction commands to navigate and capture content. The system outputs results in JSON format for easy data integration.

Does headless browser automation output JSON for easy integration?▼

Yes, headless browser automation provides JSON output for easy integration. This allows AI agents to process extracted web data and navigation results programmatically without manual parsing steps.

What is the best way to handle navigation failures in automated browser testing?▼

Handling navigation failures in automated browser testing is best achieved using a system with built-in robust error handling. This allows automated workflows to recover dynamically from unexpected page changes or broken refs.

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