Skill UI

Expert guide for building durable distributed systems with the Temporal Go SDK, covering deterministic workflow rules, mTLS worker configuration, advanced patterns, and testing/observability strategies for production workloads.

This skill provides comprehensive testing approaches for Temporal workflows using pytest. It covers unit testing with time-skipping, integration testing with mocked activities, replay testing for determinism, and local development setup. It helps achieve high test coverage and fast feedback loops for Python-based Temporal applications.

Master AI-powered test automation using modern frameworks like Playwright and Selenium. This skill covers self-healing tests, CI/CD integration, and quality engineering strategies. Learn TDD, performance testing, and low-code platforms to build scalable testing ecosystems. Optimize test execution with predictive analytics and intelligent data management for high-quality software delivery.

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 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.

This skill automates the creation of comprehensive unit tests across multiple programming languages like Python, JavaScript, and Java. It analyzes source code to identify functions and classes, then generates maintainable test suites with strong coverage, edge case handling, and proper mocking. Ideal for developers seeking consistent test structures and improved code quality without manual writing.

Unship is a dedicated local workflow for front-end developers to compare multiple AI-generated UI alternatives (such as layouts, copy, or flows) directly within a running application environment. Instead of committing to one generated version, it adds temporary source-level variants, allowing for visual comparison. After the user selects the final version, the skill automatically cleans up all unused temporary code and attributes, ensuring a clean, production-ready codebase. Note: This tool is for local iteration only, not for production A/B testing or analytics.