Skill UI

This skill provides a systematic, multi-step approach to identify and resolve all failing unit tests within a codebase. It guides the user through smart error grouping (e.g., grouping by ImportError or AttributeError), prioritizing fixes from infrastructure to business logic, and ensuring thorough verification to prevent regressions. Ideal for use after major refactoring, debugging CI/CD failures, or when explicitly tasked with making the test suite pass.

Migrates and converts test automation scripts between Selenium, Playwright, Puppeteer, and Cypress. Applies API mappings, lifecycle changes, and pattern conversions to port tests seamlessly.

This skill reviews generated or changed test code against universal testing rules before deployment. It prevents common failure modes like mock-heavy unit tests, near-duplicate test bodies, and tests that re-verify the framework. It enforces best practices such as testing behavior over implementation, justifying mocks at system boundaries, and ensuring every test has a clear justification. Use it when reviewing diffs, new test files, or when writing new tests to ensure high-quality, maintainable test suites.

Build end-to-end tests with TestDriver.ai, an AI code reviewer that runs every pull request in a real desktop sandbox, finds bugs, and creates regression tests for web, Electron, and native apps.

Master Jest testing patterns including factory functions, mocking strategies, and TDD workflows. Learn to create reusable test utilities, mock modules and hooks, and structure effective unit tests for React Native applications.

This comprehensive workflow provides a complete cycle of quality assurance for software development. It covers every stage from defining the test strategy (TDD, Unit Testing) through integration, E2E testing, browser automation, performance profiling, security scanning, and final code review. Use this when setting up robust testing infrastructure or ensuring production-ready software quality.

This skill generates comprehensive TestNG tests in Java, supporting groups, data providers, parallel execution, and XML suite configuration. It helps users create robust test suites with listeners, soft assertions, and lifecycle annotations. Ideal for Java projects requiring automated testing, CI/CD integration, and scalable test execution strategies.

This skill enables authorized security testing of desktop thick clients. It focuses on local storage, update channels, IPC, traffic interception, and client-side trust-boundary review. Techniques include reverse engineering, network analysis, and vulnerability assessment for C/S architectures like Electron or .NET.

This skill validates Three.js graphics implementations using fixed-view visual contracts and diagnostics. It ensures reproducibility through seed sweeps, camera-scale tests, and temporal stability checks. It captures no-post baselines and GPU budgets to prevent regression in procedural scenes, evaluating the rendering mechanism rather than subjective screenshots.

This skill automatically routes subtasks to the most cost-effective Claude model (Haiku, Sonnet, or Opus) based on complexity. It logs real token usage and cost per session, and includes an A/B testing feature to validate model tier savings against your actual workload, ensuring accurate cost control.

Scan the most-traded crypto futures pairs for up to 3 technical conditions in one TraderSpy call, compare coins, and backtest what followed a condition. Use for "which coins are oversold".

Fetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved. Use for 'latest signals'.