testing▌

Vite-powered unit testing framework with Jest-compatible API and native ESM support. \n \n Jest-compatible test syntax (test/describe/expect) with drop-in replacement capability for most Jest suites \n Native support for ESM, TypeScript, and JSX without additional configuration; shares Vite's transformation pipeline \n Smart watch mode reruns only affected tests based on module graph; multi-threaded workers enable parallel execution \n Built-in mocking (functions, modules, timers), snapshot test

Complete E2E and integration testing for TypeScript/NestJS projects with real Docker infrastructure and GWT pattern. \n \n Supports six guided workflows: setup, writing, reviewing, running, debugging, and optimizing E2E tests \n Tests against real services (PostgreSQL, MongoDB, Redis, Kafka) via Docker; never mocks infrastructure \n Enforces Given-When-Then pattern, test isolation, and specific assertions across all test cases \n Includes technology-specific helpers, rules, and examples for Kafk

Generate Vitest and React Testing Library tests for Dify frontend components, hooks, and utilities. \n \n Covers component rendering, props validation, user interactions, edge cases, and async operations with Vitest 4.0.16 and React Testing Library 16.0 \n Enforces incremental, one-file-at-a-time testing workflow for multi-file directories; process by complexity (utilities → hooks → simple components → complex components → integration) \n Requires integration-first approach: import real project

Discover and test everything. Leave no route untested.

Use this skill when:

Comprehensive patterns for writing maintainable, effective vitest tests. Focused on expert-level guidance for test organization, clarity, and performance.

Expert in performance testing with k6 framework.

Cross-browser end-to-end testing with auto-wait, parallel execution, and built-in debugging tools. \n \n Supports Chromium, Firefox, and WebKit across desktop and mobile devices with automatic element waiting and network control \n Includes role-based locators, page object model patterns, and storage-state authentication for maintainable test suites \n Offers visual regression testing via screenshot comparison, video recording, and trace viewer for debugging failed tests \n Built-in test runner

Implement systematic disaster recovery testing to validate recovery procedures, measure RTO/RPO, identify gaps, and ensure team readiness for actual incidents.

Test data generation creates realistic, consistent, and maintainable test data for automated testing. Well-designed test data reduces test brittleness, improves readability, and makes it easier to create diverse test scenarios.