ck:agent-browser

Automate browser tasks via CLI with snapshot-based element references.

Updated Aug 27, 2026

Search Tags:#cli #snapshot #browser-automation #agent-browser #cloud-browsers #automation-recording

Ready to run

npx skills add https://github.com/droppii/droppii-agents --skill ck-agent-browser-droppii

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ck:agent-browser
Source: https://github.com/droppii/droppii-agents/tree/main/cursor/skills/agent-browser
Command: npx skills add https://github.com/droppii/droppii-agents --skill ck-agent-browser-droppii

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AI agents need reliable, efficient browser automation for long-running sessions with minimal context, so this skill provides a CLI-based browser automation workflow that preserves state and supports verification.

Core Features & Use Cases

Snapshot-based element refs for robust interactions and self-verifying workflows.
Global browser control with local and cloud execution (Browserbase) for scalable testing.
Video recording and session management to debug and reproduce issues.
Use cases include long autonomous automation, QA pipelines, and cloud-browser testing.

Quick Start

Install the agent-browser CLI globally and start automating browser tasks.

Frequently Asked Questions about ck:agent-browser

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

FAQPage Schema

How do I automate browser tasks for long-running AI agent sessions?▼

You can automate browser tasks for long-running AI agent sessions using a context-efficient CLI that preserves state and supports self-verifying workflows. It applies snapshot-based element references to maintain robust interactions without exhausting context.

What is snapshot-based element referencing in browser automation?▼

Snapshot-based element referencing in browser automation captures the browser state to provide robust interaction points for AI agents. This mechanism enables self-verifying workflows by ensuring elements remain reliably targeted during long autonomous sessions.

Does browser automation work with cloud browsers like Browserbase for scalable testing?▼

Yes, browser automation works with cloud browsers like Browserbase for scalable testing. The CLI supports both local and cloud execution, enabling global browser control for QA pipelines and long autonomous automation tasks.

How do I debug and reproduce issues in autonomous browser workflows?▼

Debug and reproduce issues in autonomous browser workflows using the built-in video recording and session management capabilities. These features allow you to review long-running automation sessions and verify self-validating workflow outcomes.

Do I need to install the agent-browser CLI to start automating browser tasks?▼

Yes, you need to install the agent-browser CLI globally to start automating browser tasks. The CLI is required for executing snapshot-driven interactions, managing local or cloud deployments, and enabling recording capabilities.

What is the best way to maintain state during long autonomous browser automation?▼

The best way to maintain state during long autonomous browser automation is using a CLI-based workflow with snapshot-driven interactions. This context-efficient method prevents state loss and supports self-verifying workflows across local and cloud environments.