Skill UI

A comprehensive guide to building robust, reliable, and maintainable End-to-End (E2E) test suites using Playwright. This includes implementing the Page Object Model (POM), configuring advanced Playwright settings for CI/CD, managing artifacts (screenshots, traces), and strategies for handling flaky tests to ensure high test stability.

This guide provides comprehensive patterns for behavior-focused testing of React components, custom hooks, and pages. It covers best practices using React Testing Library (RTL), including accessibility assertions, simulating user interactions (userEvent), and network mocking with MSW. It also helps developers define clear test boundaries between unit component tests and full E2E flows.

This workflow guides developers through Test-Driven Development (TDD) principles. It mandates writing tests (unit, integration, E2E) before writing implementation code, ensuring minimum 80% test coverage. The structured process (Red -> Green -> Refactor) guarantees robust code quality, effective bug fixing, and safe feature addition, while integrating Git checkpoint commits for full traceability.

A comprehensive framework for performing end-to-end (E2E) testing on various Windows native desktop applications. It utilizes pywinauto and the Windows UI Automation (UIA) API, supporting major frameworks including WPF, WinForms, Win32/MFC, UWP, and Qt. This skill helps automate complex GUI interactions, making it ideal for CI/CD integration and building robust desktop test suites.

This skill summarizes user-provided input into one concise paragraph. It is specifically designed to enhance E2E (End-to-End) coverage testing within development environments, such as Agent Builders. The generated summary ensures comprehensive content representation and must include the E2E_SUMMARY_SKILL_PASS marker for validation.

A comprehensive guide for writing the evaluation section of a systems paper for top-tier conferences. It teaches authors how to map every technical claim to verifiable experiments, establish fair state-of-the-art baselines, utilize mixed workloads (microbenchmarks, E2E applications, and traces), and honestly report critical metrics like performance tails, variance, and overheads. The goal is to maximize credibility and withstand rigorous peer review.

Provides a comprehensive setup for Playwright End-to-End (E2E) testing. This skill automatically analyzes your project structure (framework detection, TypeScript/JavaScript) and generates all necessary files: the core playwright.config.ts, standardized folder structure, initial test examples, and full CI/CD workflows (GitHub Actions/GitLab). It ensures your testing environment is production-ready, supporting modern frameworks like Next.js, React, Vue, and Angular.

This skill systematically audits Playwright End-to-End (E2E) test files. It checks for common anti-patterns, adherence to best practices, and identifies coverage gaps across the entire test suite. It provides a detailed score (1-10) and generates actionable reports, including suggested code fixes, significantly improving test reliability and maintainability.

This deployment skill is designed to be integrated into the Playwright testing workflow. Its primary function is to validate the loading process of shared skills across the entire environment during the startup phase. It ensures that all necessary components and modules are correctly registered and available for reliable End-to-End (E2E) testing execution.

This skill automates end-to-end (E2E) functional testing for Android applications. It parses an XML specification defining a multi-step user 'journey.' The executor sequentially performs interactive UI actions (taps, swipes, text input) using ADB commands and verifies application states through assertions. It outputs a detailed, standardized JSON report, making it ideal for robust CI/CD integration and quality assurance.

AI-powered end-to-end web testing that lets AI coding tools see and interact with real browsers via declarative YAML and Playwright. Supports visual matching with OpenCV/OCR, platform auto-detection, and failure diagnosis.

Generates production-grade Cypress E2E and component tests in JavaScript or TypeScript. Supports local execution and TestMu AI cloud for cross-browser testing. Includes patterns for command chaining, network interception, and custom commands to ensure reliable automation workflows.