Skill UI

This skill provides comprehensive testing approaches for Temporal workflows using pytest. It covers unit testing with time-skipping, integration testing with mocked activities, and replay testing for determinism validation. Resources guide local development setup, CI/CD integration, and achieving high code coverage targets. Ideal for validating Python SDK workflows efficiently.

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.

Jest testing patterns including factory functions, mocking strategies, TDD workflow, and best practices for component and data testing. Useful for writing unit tests, creating reusable test factories, and following red-green-refactor cycles.

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 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.

Master comprehensive testing strategies for smart contracts using Hardhat, Foundry, and advanced patterns, including unit, integration, gas, fuzz, mainnet fork, and coverage testing.

Inventory and govern a project's test assets. Connect requirements, business rules, risks, bugs, and cross-boundary contracts to stable TEST-IDs and executable evidence in the repository's existing test registry or TESTS.md. Use for test inventory, test gap analysis, unit/integration/contract/E2E/smoke classification, bug-to-test regression protection, consumer/provider contract testing, test-necessity review, and pre-delivery evidence review.

This skill covers Quarkus-specific testing features including zero-config containers for databases like PostgreSQL and Kafka. It explains how to use annotations like @QuarkusTest, @QuarkusIntegrationTest, and @InjectMock for unit and integration testing. It also details test resources, profiles, continuous testing, and running tests with Maven. Ideal for developers writing or fixing tests in Quarkus projects.