ck:agent-browser

Automate browser navigation and interaction via CLI with refs-based snapshots.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/dungnt97/wallet-portal --skill ck-agent-browser-dungnt97
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:agent-browser
Source: https://github.com/dungnt97/wallet-portal/tree/main/claude/skills/agent-browser
Command: npx skills add https://github.com/dungnt97/wallet-portal --skill ck-agent-browser-dungnt97

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides an efficient CLI-based tool for AI agents to automate browser tasks, enabling long-running sessions and reproducible web interactions without manual browser control.

Core Features & Use Cases

  • Long autonomous sessions with documented snapshots and refs to minimize context switching.
  • Cloud browser support via Browserbase for CI/CD and parallel testing.
  • State persistence and robust navigation/interactions for testing, QA, and automation workflows.

Quick Start

Open a target URL with agent-browser and capture an interactive snapshot using element refs.

Frequently Asked Questions about ck:agent-browser

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

FAQPage Schema
How do I run long autonomous browser automation sessions for AI agents?

Browser automation for AI agents is driven by a CLI that parses commands, captures page snapshots, and manages element refs. This refs-based system allows agents to navigate and interact without manual browser control.

Can I use Playwright for reproducible testing in CI/CD with cloud browsers?

Reproducible testing in CI/CD is supported through optional cloud browser integration via Browserbase. This enables parallel testing and long-running workflows using robust state persistence and navigation interactions.

What is the refs-based system for browser automation and how does it work?

The refs-based system captures interactive snapshots of web pages and assigns element references. AI agents use these refs to navigate and interact with specific page elements accurately during long-running autonomous sessions.

Does this browser automation CLI support state persistence across long sessions?

The browser automation CLI supports state persistence and robust navigation interactions. This ensures reproducible web interactions and maintains session context for AI agents during long-running tasks.

Best way to automate web interactions across diverse web apps for AI agents?

Automating web interactions for AI agents is handled by a CLI that provides command parsing, snapshot management, and a refs-based system. This enables reproducible testing and navigation across diverse web apps.

When should I not use a CLI-based approach for browser automation?

A CLI-based browser automation approach is not ideal for manual visual testing or tasks requiring real-time human oversight. It is optimized for long-running autonomous sessions, CI/CD workflows, and reproducible testing.