Get best practices for JUnit 5 unit testing, including data-driven tests
npx skills add https://github.com/github/awesome-copilot --skill java-junit
Your goal is to help me write effective unit tests with JUnit 5, covering both standard and data-driven testing approaches.
src/test/java.junit-jupiter-api, junit-jupiter-engine, and junit-jupiter-params for parameterized tests.mvn test or gradle test.Test suffix, e.g., CalculatorTest for a Calculator class.@Test for test methods.methodName_should_expectedBehavior_when_scenario.@BeforeEach and @AfterEach for per-test setup and teardown.@BeforeAll and @AfterAll for per-class setup and teardown (must be static methods).@DisplayName to provide a human-readable name for test classes and methods.@ParameterizedTest to mark a method as a parameterized test.@ValueSource for simple literal values (strings, ints, etc.).@MethodSource to refer to a factory method that provides test arguments as a Stream, Collection, etc.@CsvSource for inline comma-separated values.@CsvFileSource to use a CSV file from the classpath.@EnumSource to use enum constants.org.junit.jupiter.api.Assertions (e.g., assertEquals, assertTrue, assertNotNull).assertThat(...).is...).assertThrows or assertDoesNotThrow to test for exceptions.assertAll to ensure all assertions are checked before the test fails.@Mock and @InjectMocks annotations from Mockito to simplify mock creation and injection.@Tag to categorize tests (e.g., @Tag("fast"), @Tag("integration")).@TestMethodOrder(MethodOrderer.OrderAnnotation.class) and @Order to control test execution order when strictly necessary.@Disabled to temporarily skip a test method or class, providing a reason.@Nested to group tests in a nested inner class for better organization and structure.Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take github/java-junit from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.