Development
java-junit - Claude MCP Skill
Get best practices for JUnit 5 unit testing, including data-driven tests
SEO Guide: Enhance your AI agent with the java-junit tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to get best practices for junit 5 unit testing, including data-driven tests... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# JUnit 5+ Best Practices
Your goal is to help me write effective unit tests with JUnit 5, covering both standard and data-driven testing approaches.
## Project Setup
- Use a standard Maven or Gradle project structure.
- Place test source code in `src/test/java`.
- Include dependencies for `junit-jupiter-api`, `junit-jupiter-engine`, and `junit-jupiter-params` for parameterized tests.
- Use build tool commands to run tests: `mvn test` or `gradle test`.
## Test Structure
- Test classes should have a `Test` suffix, e.g., `CalculatorTest` for a `Calculator` class.
- Use `@Test` for test methods.
- Follow the Arrange-Act-Assert (AAA) pattern.
- Name tests using a descriptive convention, like `methodName_should_expectedBehavior_when_scenario`.
- Use `@BeforeEach` and `@AfterEach` for per-test setup and teardown.
- Use `@BeforeAll` and `@AfterAll` for per-class setup and teardown (must be static methods).
- Use `@DisplayName` to provide a human-readable name for test classes and methods.
## Standard Tests
- Keep tests focused on a single behavior.
- Avoid testing multiple conditions in one test method.
- Make tests independent and idempotent (can run in any order).
- Avoid test interdependencies.
## Data-Driven (Parameterized) Tests
- Use `@ParameterizedTest` to mark a method as a parameterized test.
- Use `@ValueSource` for simple literal values (strings, ints, etc.).
- Use `@MethodSource` to refer to a factory method that provides test arguments as a `Stream`, `Collection`, etc.
- Use `@CsvSource` for inline comma-separated values.
- Use `@CsvFileSource` to use a CSV file from the classpath.
- Use `@EnumSource` to use enum constants.
## Assertions
- Use the static methods from `org.junit.jupiter.api.Assertions` (e.g., `assertEquals`, `assertTrue`, `assertNotNull`).
- For more fluent and readable assertions, consider using a library like AssertJ (`assertThat(...).is...`).
- Use `assertThrows` or `assertDoesNotThrow` to test for exceptions.
- Group related assertions with `assertAll` to ensure all assertions are checked before the test fails.
- Use descriptive messages in assertions to provide clarity on failure.
## Mocking and Isolation
- Use a mocking framework like Mockito to create mock objects for dependencies.
- Use `@Mock` and `@InjectMocks` annotations from Mockito to simplify mock creation and injection.
- Use interfaces to facilitate mocking.
## Test Organization
- Group tests by feature or component using packages.
- Use `@Tag` to categorize tests (e.g., `@Tag("fast")`, `@Tag("integration")`).
- Use `@TestMethodOrder(MethodOrderer.OrderAnnotation.class)` and `@Order` to control test execution order when strictly necessary.
- Use `@Disabled` to temporarily skip a test method or class, providing a reason.
- Use `@Nested` to group tests in a nested inner class for better organization and structure.Signals
Information
- Repository
- github/awesome-copilot
- Author
- github
- Last Sync
- 3/13/2026
- Repo Updated
- 3/13/2026
- Created
- 2/25/2026
Reviews (0)
No reviews yet. Be the first to review this skill!
Related Skills
mem0
Integrate Mem0 Platform into AI applications for persistent memory, personalization, and semantic search. Use this skill when the user mentions "mem0", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python and TypeScript SDKs, framework integrations (LangChain, CrewAI, Vercel AI SDK, OpenAI Agents SDK, Pipecat), and the full Platform API. Use even when the user doesn't explicitly say "mem0" but describes needing conversation memory, user context retention, or knowledge retrieval across sessions.
upgrade-nodejs
Upgrading Bun's Self-Reported Node.js Version
cursorrules
CrewAI Development Rules
cn-check
Install and run the Continue CLI (`cn`) to execute AI agent checks on local code changes. Use when asked to "run checks", "lint with AI", "review my changes with cn", or set up Continue CI locally.
Related Guides
Bear Notes Claude Skill: Your AI-Powered Note-Taking Assistant
Learn how to use the bear-notes Claude skill. Complete guide with installation instructions and examples.
Mastering tmux with Claude: A Complete Guide to the tmux Claude Skill
Learn how to use the tmux Claude skill. Complete guide with installation instructions and examples.
OpenAI Whisper API Claude Skill: Complete Guide to AI-Powered Audio Transcription
Learn how to use the openai-whisper-api Claude skill. Complete guide with installation instructions and examples.