ck:agent-browser

Automate browser navigation, interaction, and state checking via CLI.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/weihung0831/claudekit --skill ck-agent-browser-weihung0831
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:agent-browser
Source: https://github.com/weihung0831/claudekit/tree/main/.opencode/skills/agent-browser
Command: npx skills add https://github.com/weihung0831/claudekit --skill ck-agent-browser-weihung0831

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates browser interactions for AI agents, making complex web tasks efficient and context-aware, especially for long-running autonomous sessions.

Core Features & Use Cases

  • Context-Efficient Snapshots: Uses a "snapshot + refs" paradigm to drastically reduce context size compared to traditional tools.
  • AI-Optimized CLI: Designed for seamless integration into AI agent workflows.
  • Use Case: An AI agent needs to repeatedly log into a web application, perform a series of actions, and verify the results over an extended period. This Skill allows the agent to efficiently navigate, interact, and snapshot the page state without overwhelming the AI's context window.

Quick Start

Use agent-browser to open the URL 'https://example.com'.

Frequently Asked Questions about ck:agent-browser

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce token usage when using an AI agent for web scraping?

Browser automation for autonomous AI sessions uses a snapshot and element references paradigm to minimize context size. This allows agents to efficiently navigate, interact, and verify results over extended periods without overwhelming the context window.

How do I automate browser interactions for a long-running AI agent?

Browser automation for autonomous AI sessions uses a snapshot and element references paradigm to minimize context size. This allows agents to efficiently navigate, interact, and verify results over extended periods without overwhelming the context window.

Can I use a headless browser CLI to navigate and capture media for autonomous agents?

Browser automation for autonomous AI sessions uses a snapshot and element references paradigm to minimize context size. This allows agents to efficiently navigate, interact, and verify results over extended periods without overwhelming the context window.

What is the best way to perform web interaction with an AI-optimized CLI?

Browser automation for autonomous AI sessions uses a snapshot and element references paradigm to minimize context size. This allows agents to efficiently navigate, interact, and verify results over extended periods without overwhelming the context window.

Why does traditional browser automation overwhelm the AI context window?

Browser automation for autonomous AI sessions uses a snapshot and element references paradigm to minimize context size. This allows agents to efficiently navigate, interact, and verify results over extended periods without overwhelming the context window.