browser

Automate web browser interactions, navigation, and data extraction for AI agents.

Updated Jul 5, 2026
One-click install
npx skills add https://github.com/NourcineAb/SereneProject --skill browser-nourcineab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: browser
Source: https://github.com/NourcineAb/SereneProject/tree/main/stitch_serene_ai_wellness_coach/.claude/skills/browser
Command: npx skills add https://github.com/NourcineAb/SereneProject --skill browser-nourcineab

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies web browser automation by providing AI agents with efficient navigation, interaction, and extraction workflows without relying on large raw page structures.

Core Features & Use Cases

  • AI-Optimized Browser Control: Navigate websites, capture accessibility snapshots, and interact with elements using reliable references.
  • Web Interaction Automation: Handle clicks, form filling, scrolling, screenshots, and data extraction for browser-based tasks.
  • Use Case: Automate a login workflow, collect information from web pages, or execute repetitive browser operations through agent-browser commands.

Quick Start

Use the browser skill to open a website, inspect its interactive elements, and complete the required browser automation task.

Frequently Asked Questions about 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 without processing large raw page structures?

Web browser automation for AI agents is simplified by capturing accessibility snapshots and interacting with elements using reliable references. This approach handles navigation, form filling, and data extraction efficiently without relying on large raw page structures.

What is the best way to automate website navigation and form filling with AI-ready controls?

Automating website navigation and form filling is handled through agent-browser commands that apply snapshot-based element references. This provides reliable interaction for clicks, scrolling, and multi-step browsing workflows without manual DOM inspection.

Can I use AI agents to automate multi-step browsing workflows and capture screenshots?

AI agents can automate multi-step browsing workflows and capture screenshots using dedicated browser control tools. The automation applies to website interaction scenarios including clicking, scrolling, and data extraction across sequential pages.

How does snapshot-based element reference work for web scraping and data extraction?

Snapshot-based element reference for web scraping works by capturing accessibility snapshots of the page instead of raw HTML. AI agents use these snapshots to reliably identify and interact with target elements for efficient data extraction and context handling.

Do I need specific browser control tools to execute repetitive browser operations through agent-browser commands?

Specific browser control tools supporting snapshot-based element references are required to execute repetitive browser operations through agent-browser commands. These tools provide the necessary interface for reliable interaction and efficient context handling during automation.