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This skill generates comprehensive unit and component tests using Vitest, a fast testing framework built for Vite. It supports JavaScript and TypeScript, offering a Jest-compatible API with advanced features like ESM support, HMR, advanced mocking (vi.mock), snapshot testing, and React component rendering. Use it when dealing with unit testing, TDD, or configuring vitest.config.ts.

This guide outlines a comprehensive, agent-focused testing workflow for modern C++ (C++17/20) using GoogleTest and CMake/CTest. It teaches key concepts like the TDD cycle (Red-Green-Refactor), utilizing mocking (gmock) and fixtures for isolation, setting up robust CI/CD integration, and debugging complex issues using sanitizers (ASAN, TSAN) and coverage analysis. Use this when writing, updating, or ensuring the functional robustness of C++ codebases.

A comprehensive guide to implementing Test-Driven Development (TDD) for Django projects. This skill covers the full Red-Green-Refactor cycle, utilizing pytest, pytest-django, and factory_boy to write robust unit and integration tests for Django models, views, and DRF APIs. Essential for developers aiming to build large-scale, high-quality Python applications.

A comprehensive guide to writing reliable and maintainable tests in Go. This skill covers the TDD methodology (Red-Green-Refactor cycle), advanced patterns like table-driven tests, subtests, benchmarks, and fuzzing. Learn how to ensure high code quality and test coverage in idiomatic Go projects.

This comprehensive guide covers advanced Kotlin testing patterns using industry-standard tools like Kotest and MockK. It details the entire TDD workflow (Red-Green-Refactor), property-based testing, coroutines testing, and code coverage configuration with Kover. Ideal for developers looking to write robust, maintainable, and scalable Kotlin codebases.

A comprehensive guide to implementing Test-Driven Development (TDD) in Laravel. This resource covers best practices for Unit, Feature, and Integration testing, guiding developers on using PHPUnit and Pest. It details strategies for managing database states (e.g., RefreshDatabase) and effectively mocking external dependencies for robust application development.

This tool orchestrates the end-to-end process of building a brand-new feature. It automates the entire lifecycle, including initial research, planning, Test-Driven Development (TDD) implementation, code review, and gated commit. Use this when adding a capability that does not currently exist in the system.

This advanced orchestration tool streamlines the process of building a Minimum Viable Product (MVP). By ingesting high-level design documents (SDD/PRD), it automatically plans thin, end-to-end vertical slices. The system then scaffolds, executes TDD implementation, and manages gated commits, transforming theoretical specifications into a functional, reviewable starting point, dramatically accelerating initial development cycles.

This engine serves as a shared, comprehensive orchestration layer for the entire development lifecycle (orch-* skills). It defines a rigorous, gated pipeline—including Research, Plan, TDD Implementation, Review, and Commit—ensuring consistency regardless of the specific operation (e.g., feature addition, defect fixing). It also includes a size classifier to accurately scope the required effort and gates for mandatory human review.

Master professional Python testing practices using the pytest framework. This guide covers Test-Driven Development (TDD) methodology, advanced features like fixtures (with different scopes), parametrization, assertion techniques, and achieving high code coverage, ensuring robust and maintainable software.

A comprehensive guide to Test-Driven Development (TDD) for Quarkus 3.x LTS, focusing on event-oriented architectures. This framework utilizes JUnit 5, Mockito, REST Assured, Apache Camel, and JaCoCo to ensure high code coverage (80%+). Use it when developing new features, fixing bugs, or refactoring event-driven services and API endpoints.

This guide provides comprehensive patterns for writing reliable and maintainable tests in Rust, adhering to the TDD methodology. It covers unit testing, integration testing, asynchronous programming with Tokio, property-based testing, mocking, and robust error/panic handling. Ideal for developers looking to elevate their Rust code quality and coverage.