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agent-browser

Automate browser navigation, form filling, clicking, and data extraction.

1|Updated Mar 26, 2026
Search Tags:#authentication#session-management#web-testing#ai-agents#data-extraction#browser-automation
One-click install
npx skills add https://github.com/caobingsheng/skills --skill agent-browser-caobingsheng
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-browser
Source: https://github.com/caobingsheng/skills/tree/main/.claude/skills/agent-browser
Command: npx skills add https://github.com/caobingsheng/skills --skill agent-browser-caobingsheng

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automate AI-driven browser interactions to enable seamless web navigation, form filling, and data extraction for AI agents.

Core Features & Use Cases

  • Navigate websites and manage multi-session workflows with snapshot-based element references
  • Interact with dynamic pages via refs (fill, click, type, select) and authentication patterns
  • Automate testing, data extraction, and content capture at scale
  • Real-world use: coordinate a login flow, fill a form, and verify a dashboard without manual steps

Quick Start

Open a URL, snapshot to obtain element refs, then interact by filling fields and clicking targets.

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 interactions for AI agents to navigate websites and extract data?▼

AI-driven browser automation enables agents to navigate websites, fill forms, click elements, and extract data. You open a URL, take a snapshot to obtain element references, then interact by filling fields and clicking targets to execute web testing workflows.

What is the best way to manage multi-session browser workflows for automated form submission?▼

Multi-session management allows AI agents to coordinate complex workflows like login flows and form submissions across separate browser contexts. It supports authentication patterns and snapshot-based element references to interact with dynamic pages without manual intervention.

Can I handle authentication patterns when automating web testing with AI agents?▼

Yes, browser automation supports authentication patterns for AI agents to manage login flows. Agents can coordinate a login sequence, fill authentication forms, and verify dashboard access across single or multi-session contexts without manual steps.

How does snapshot-based element reference work for interacting with dynamic web pages?▼

Snapshot-based element references capture page structure so AI agents can target dynamic elements. After opening a URL, you take a snapshot to obtain element refs, then use those refs to fill, click, type, or select within the rendered page.

Does browser automation support streaming and extensible templates for end-to-end workflows?▼

Yes, the automation framework supports streaming and extensible templates for end-to-end browser workflows. It applies to automated data collection, form submission, and web testing, using frontmatter-driven metadata loaded during activation to guide interactions.

What are the limitations of using snapshot-based browser automation for data extraction at scale?▼

Snapshot-based automation relies on capturing element references at a point in time, which may require re-snapshotting if dynamic page content changes during extraction. It suits structured web workflows but may need extensible templates for highly volatile content.

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