Get best practices for NUnit unit testing, including data-driven tests
npx skills add https://github.com/github/awesome-copilot --skill csharp-nunit
Your goal is to help me write effective unit tests with NUnit, covering both standard and data-driven testing approaches.
[ProjectName].TestsCalculatorTests for Calculator)dotnet test for running tests[TestFixture] attribute to test classes[Test] attribute for test methodsMethodName_Scenario_ExpectedBehavior[SetUp] and [TearDown] for per-test setup and teardown[OneTimeSetUp] and [OneTimeTearDown] for per-class setup and teardown[SetUpFixture] for assembly-level setup and teardown[TestCase] for inline test data[TestCaseSource] for programmatically generated test data[Values] for simple parameter combinations[ValueSource] for property or method-based data sources[Random] for random numeric test values[Range] for sequential numeric test values[Combinatorial] or [Pairwise] for combining multiple parametersAssert.That with constraint model (preferred NUnit style)Is.EqualTo, Is.SameAs, Contains.ItemAssert.AreEqual for simple value equality (classic style)CollectionAssert for collection comparisonsStringAssert for string-specific assertionsAssert.Throws<T> or Assert.ThrowsAsync<T> to test exceptions[Category("CategoryName")][Order] to control test execution order when necessary[Author("DeveloperName")] to indicate ownership[Description] to provide additional test information[Explicit] for tests that shouldn't run automatically[Ignore("Reason")] to temporarily skip testsToolkit 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/csharp-nunit from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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