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thewoolleyman
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browser

Automate web browser interactions using AI-optimized element references.

Updated Jan 31, 2026
Search Tags:#automation#session-management#browser#claude-flow#web-automation#memory-integration#element-refs
One-click install
npx skills add https://github.com/thewoolleyman/home-tech-infrastructure --skill browser-thewoolleyman
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: browser
Source: https://github.com/thewoolleyman/home-tech-infrastructure/tree/main/.claude/skills/browser
Command: npx skills add https://github.com/thewoolleyman/home-tech-infrastructure --skill browser-thewoolleyman

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables Claude Flow agents to automate web tasks by controlling a browser with AI-optimized element references, reducing context and increasing interaction reliability.

Core Features & Use Cases

  • AI-optimized snapshots with element refs to drive deterministic interactions
  • Navigate, click, fill, type, and capture screenshots across multi-step flows
  • Memory-backed, multi-session workflows and MCP tool integration for orchestration

Quick Start

Open a URL with agent-browser open <url>, take a snapshot with agent-browser snapshot -i, interact using refs like @e2 (e.g., agent-browser click @e2, agent-browser fill @e3 "text"), then snapshot again to reflect changes.

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?▼

Automate web browser interactions for AI agents by using AI-optimized snapshots with element references to drive deterministic commands like open, click, fill, and type. This approach reduces context overhead and increases interaction reliability for web automation tasks.

What are AI-optimized element references in web automation?▼

AI-optimized element references are snapshot-generated identifiers, such as @e2, that allow AI agents to deterministically target and interact with specific web page elements. Using these refs ensures reliable execution of click and fill commands across multi-step flows.

Can I run multi-session browser automation workflows with memory integration?▼

Multi-session browser automation workflows with memory integration are supported through memory-backed tooling and MCP integration. This enables orchestration of complex, isolated web sessions while retaining context across navigational and data extraction steps.

What's the best way to extract web data and capture screenshots during automation?▼

Extract web data and capture screenshots during automation by taking an initial page snapshot, interacting with elements using their refs, and then issuing a screenshot or snapshot command to reflect the updated page state for data extraction.

Does this web automation approach support end-to-end form submission and navigation?▼

End-to-end form submission and web navigation are fully supported through deterministic commands. Agents can open URLs, fill form fields, type text, wait for page loads, and close sessions to complete comprehensive multi-step web testing workflows.

Why use deterministic browser commands instead of standard web automation scripts?▼

Deterministic browser commands use AI-optimized element references rather than brittle selectors, reducing context and increasing interaction reliability. This approach prevents scripts from breaking when underlying HTML structures shift during navigation.

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