How does this skill handle local development servers?

It uses a specialized script called with_server.py to automatically manage server lifecycles, ensuring ports are ready before executing automation scripts.

What automation framework does this skill use?

This skill is built primarily on the Playwright library for Python, utilizing synchronous browser control for reliable and readable test execution.

Does it support dynamic JavaScript applications?

Yes, it includes built-in patterns to wait for network idle states to ensure dynamic content is fully rendered before inspection or action.

Can I see what the browser is seeing during a test?

Yes, the skill supports capturing full-page screenshots and inspecting the rendered DOM to help identify selectors and debug visual issues.

Web Application Testing

Name: Web Application Testing
Author: XD3an

byXD3an

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Security & Testing

Automates and debugs local web applications using Playwright for robust end-to-end testing and UI verification.

About

This skill provides a comprehensive toolkit for testing local web applications within the Claude Code environment. It streamlines the testing lifecycle by managing server startups, navigating dynamic pages, and capturing browser state for debugging. By utilizing native Python Playwright scripts and a specialized reconnaissance-then-action pattern, it allows developers to reliably identify UI selectors, verify frontend functionality, and monitor browser logs, ensuring high-quality web experiences through automated validation.

Key Features

Pre-built helper scripts for element discovery, console log monitoring, and static HTML testing
Standardized workflows for handling network idle states in complex dynamic web applications
Automated server lifecycle management for single or multiple backend and frontend environments
Headless browser interaction and automation using Python Playwright
Reconnaissance patterns for identifying dynamic DOM selectors and capturing full-page screenshots
6 GitHub stars

Use Cases

Verifying frontend UI behavior and critical user flows after implementing new features
Debugging complex asynchronous interactions by capturing browser logs and visual screenshots
Automating end-to-end testing workflows across local development and staging servers

About

Key Features

Pre-built helper scripts for element discovery, console log monitoring, and static HTML testing
Standardized workflows for handling network idle states in complex dynamic web applications
Automated server lifecycle management for single or multiple backend and frontend environments
Headless browser interaction and automation using Python Playwright
Reconnaissance patterns for identifying dynamic DOM selectors and capturing full-page screenshots
6 GitHub stars

Use Cases

Verifying frontend UI behavior and critical user flows after implementing new features
Debugging complex asynchronous interactions by capturing browser logs and visual screenshots
Automating end-to-end testing workflows across local development and staging servers