Skill UI

Browser automation expert for debugging flaky tests and running long-lived scrapers using Playwright/Puppeteer, focusing on robust selectors, auto-waits, isolation, and anti-detection practices.

Guides an agent through C++17/20 testing with CMake, CTest, and GoogleTest/Mock, covering new or flaky tests, CI gates, coverage builds, and sanitizer diagnostics to keep regression safety in place.

This comprehensive guide offers patterns and best practices for building robust, maintainable, and fast End-to-End (E2E) test suites using Playwright. It details essential concepts like Page Object Model (POM), advanced configuration, handling flaky tests, artifact management, and seamless integration into CI/CD pipelines. Essential for QA engineers and developers building web automation frameworks.

This skill coordinates the complex parallel execution of end-to-end, integration, and unit tests across multiple frameworks (e.g., Jest, Playwright, pytest) and CI/CD environments. It manages test splitting, worker allocation, tiered execution strategies, and aggregates results into unified reports. Ideal for optimizing the testing lifecycle and ensuring robust quality assurance in large-scale, multi-component applications. Key functions include intelligent retry logic for flaky tests and building CI pipelines (e.g., GitHub Actions matrix).

A specialist skill for writing robust, maintainable, and scalable End-to-End (E2E) tests using Playwright. This guide covers setting up test infrastructure, implementing Page Object Model (POM), using role-based selectors, handling API mocking, and debugging flaky tests. Ideal for integrating quality checks into CI/CD pipelines and performing complex browser automation.

A specialized skill designed to ensure robust software quality by covering the entire testing lifecycle. This includes defining test strategies, writing unit, integration, and E2E tests, and implementing advanced testing types like performance (k6), security (OWASP), and functional testing. It guides users through coverage analysis, debugging flaky tests, and generating detailed defect and quality reports.

Tracks and runs regression suites, automating execution of critical tests and analyzing outcomes so Claude highlights failures, flaky checks, and stability impacts before deployments.

Diagnose and fix failing or flaky Playwright tests via a systematic reproduce-trace-categorize-fix workflow, validate stability by repeated runs, and recommend CI safeguards to prevent regressions.

A production-grade toolkit designed for robust Playwright end-to-end testing. This AI assistant guides users through the entire testing lifecycle: generating tests from specifications, diagnosing and fixing flaky failures, migrating from Cypress or Selenium, and integrating with test management systems like TestRail and BrowserStack. It enforces best practices and ensures high test quality and coverage.

This skill systematically reviews test code to identify and correct common anti-patterns. It detects issues such as flaky tests, overly mocked dependencies (over-mocking), brittle assertions, excessive test size (The Giant), and structural dependencies. It explains the flaw, provides best practices, and suggests refactored, reliable implementations, helping maintain high test quality and stability.

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.