skills.rest
felix-howard
felix-howardCOMMUNITY
Explore all skills by this author →
GitHub

ck:agent-browser

Automate browser interactions via CLI with context-efficient snapshots.

Updated Jan 11, 2026
Search Tags:#testing#cli#browser automation#ai agent#web scraping#headless browser
One-click install
npx skills add https://github.com/felix-howard/ella --skill ck-agent-browser-felix-howard
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ck:agent-browser
Source: https://github.com/felix-howard/ella/tree/main/.opencode/skills/agent-browser
Command: npx skills add https://github.com/felix-howard/ella --skill ck-agent-browser-felix-howard

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates web browser interactions for AI agents, making complex web navigation and data gathering efficient and context-aware.

Core Features & Use Cases

  • Context-Efficient Snapshots: Captures interactive elements with minimal token usage, ideal for AI processing.
  • Autonomous Sessions: Enables long-running, self-verifying AI tasks in a browser.
  • Video Recording: Records browser sessions for debugging and review.
  • Cloud Browser Testing: Integrates with services like Browserbase for remote execution.
  • Use Case: An AI agent needs to research competitors by visiting multiple websites, filling out forms, and extracting specific data points. This Skill allows the agent to perform these actions reliably and efficiently.

Quick Start

Install the agent-browser CLI globally and then use it 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 run AI-driven browser automation from the command line?▼

AI-driven browser automation can be run via a command-line interface that uses a snapshot-and-interact paradigm to optimize context usage, capture interactive elements with minimal tokens, and execute self-verifying workflows.

How does headless browser automation manage context for long autonomous AI sessions?▼

Headless browser automation manages context by capturing snapshots of interactive elements to minimize token usage, enabling long-running, self-verifying AI tasks without exceeding context limits.

Can I use cloud browser testing services like Browserbase for AI web scraping?▼

Yes, AI web scraping and browser automation can integrate with cloud browser testing services like Browserbase to execute remote sessions and record videos for debugging and review.

What is the best way to automate web navigation and form filling for AI agents?▼

The best way to automate web navigation and form filling for AI agents is using a CLI that captures context-efficient snapshots of interactive elements, allowing reliable data gathering and form submission across multiple websites.

Does browser automation for AI agents support video recording for debugging?▼

Yes, browser automation for AI agents supports video recording, allowing you to record sessions for debugging and review of self-verifying workflows and autonomous tasks.

Why does AI web scraping fail with large pages and how does snapshot optimization help?▼

AI web scraping can fail with large pages due to context limits, but snapshot optimization helps by capturing only essential interactive elements with minimal token usage, ensuring efficient AI processing.

Related Skills

Explore More Software Engineering Skills→
FutureAtomsFutureAtoms
1

vercel-browser-agent-browser

Automate browser interactions via the Vercel Agent Browser CLI.

Community
Intermediate
gauss314gauss314
173

barchart

Extract quotes, fundamentals, and earnings estimates from Barchart via static HTML scraping.

Community
Intermediate
marcusrbrownmarcusrbrown
23

agent-browser

Automate browser interactions using Vercel's agent-browser CLI and ref-based selectors.

Community
Intermediate
web-infra-devweb-infra-dev
286

Browser Automation

Automate web browser interactions using visual cues from screenshots.

Official
Intermediate