How does the skill handle dynamic content?

The skill uses Playwright's robust waiting mechanisms and can execute custom JavaScript to ensure dynamic content is fully loaded before interacting.

Does this skill require an external MCP server?

No, this skill is designed to run locally using a Docker container, eliminating the need for external MCP server connections for browser tasks.

What are the local requirements for this skill?

You need Docker Desktop installed and running, along with Ruby (version 2.7 or higher) to execute the control scripts.

Are the browser sessions persistent?

Sessions are managed within the local Docker container. You can start, stop, and restart the container as needed using the provided management scripts.

Can I use this for automated UI testing?

Yes, it is specifically built for E2E testing, allowing Claude to navigate, interact with elements, and verify page states.

Playwright Browser Automation

Name: Playwright Browser Automation
Author: arlenagreer

byarlenagreer

ブラウザ自動化

Automates web browser interactions, screenshots, and end-to-end testing using a local Playwright Docker container.

概要

This skill empowers Claude to perform complex browser-based tasks directly from your local development environment by interfacing with a dedicated Playwright Docker container. It facilitates high-fidelity web scraping, visual debugging through screenshot capture, and automated testing of web applications without the need for remote MCP server connections. By leveraging local infrastructure, it provides a fast and secure way to verify UI changes, extract data from dynamic sites, and execute E2E test suites within a Claude Code workflow.

主な機能

Local Docker-based execution for enhanced privacy and performance
0 GitHub stars
Automated form filling, button clicks, and keyboard interactions
Headless and headed browser navigation with configurable wait conditions
Direct JavaScript execution and evaluation within the page context
High-resolution full-page and viewport screenshot capture

ユースケース

Extracting data from dynamic, JavaScript-heavy websites for analysis
Executing end-to-end test suites to validate web application functionality
Capturing visual snapshots of frontend changes for UI/UX reviews

概要

主な機能

Local Docker-based execution for enhanced privacy and performance
0 GitHub stars
Automated form filling, button clicks, and keyboard interactions
Headless and headed browser navigation with configurable wait conditions
Direct JavaScript execution and evaluation within the page context
High-resolution full-page and viewport screenshot capture

ユースケース

Extracting data from dynamic, JavaScript-heavy websites for analysis
Executing end-to-end test suites to validate web application functionality
Capturing visual snapshots of frontend changes for UI/UX reviews