web-app-testing

Automate Playwright-based web UI testing with crawling, interaction checks, and visual regression.

Updated Nov 14, 2025

Search Tags:#playwright #ui-testing #auto-discovery #visual-regression #qa-automation #web-app-testing

Ready to run

npx skills add https://github.com/automata-network/claude-plugins --skill web-app-testing-automata-network

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: web-app-testing
Source: https://github.com/automata-network/claude-plugins/tree/main/plugins/frontend-testing/skills/frontend-deployment-checklist
Command: npx skills add https://github.com/automata-network/claude-plugins --skill web-app-testing-automata-network

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires playwright, Pillow, PyYAML, and includes scripts (resource) components.

What problem does it solve?

Manually testing every interactive UI element across modern web apps is time-consuming, error-prone, and hard to scale.

Core Features & Use Cases

Auto-discovery: crawls all pages to map every interactive element.
End-to-end interactions: tests clicks, inputs, selections, and navigations to reveal UI states.
Visual regression: captures screenshots and compares against baselines to catch changes.
Device emulation: tests across devices and screen sizes using Playwright presets.
Reports & design review: generates QA reports and a concise Claude design-review document.

Quick Start

Run automated Playwright tests across my web app to crawl every page, identify all interactive elements, and generate a comprehensive QA and design-review report.

Frequently Asked Questions about web-app-testing

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

FAQPage Schema

How do I automate Playwright UI testing across an entire web app?▼

Playwright UI testing is automated by crawling pages to auto-discover interactive elements, executing interactions, and generating visual regression screenshots and QA reports. This eliminates manual checks by automatically mapping and testing every navigation and interaction across modern web apps.

What is auto-discovery in end-to-end web testing?▼

Auto-discovery in end-to-end web testing is the process of automatically crawling web app pages to map every interactive element. It identifies clickable buttons, input fields, and selections to ensure comprehensive QA test coverage without requiring manually defined element selectors.

Can I run visual regression testing with Playwright across different device screen sizes?▼

Yes, visual regression testing supports different device screen sizes using Playwright device emulation presets. It captures screenshots across emulated devices and compares them against baselines to catch visual changes and UI regressions in responsive web apps.

Does Playwright auto-discovery work for large web apps with many pages?▼

Yes, Playwright auto-discovery is designed for large web apps, automatically crawling all pages to map and test interactive elements comprehensively. It scales QA automation by handling exhaustive UI checks across modern applications of any size without manual intervention.

How do I generate a QA and design review report after UI testing?▼

QA and design review reports are generated automatically after UI testing by compiling Playwright automation logs, visual regression screenshots, and network logs. The output includes an actionable QA report and a concise design-review document assisted by Claude.

What are the limitations of automated UI testing for interactive web elements?▼

Automated UI testing limitations include potential false positives in visual regression when dynamic content changes and the need for baseline screenshots for comparison. It requires Playwright, Pillow, and PyYAML dependencies to execute crawling and generate reports.