Csharp-Tunit
Csharp-Tunit是一款code方向的AI技能,核心价值是Get best practices for TUnit unit testing, including data-driven tests,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
Get best practices for TUnit unit testing, including data-driven tests
mkdir -p ./skills/csharp-tunit && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/csharp-tunit/SKILL.md -o ./skills/csharp-tunit/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# TUnit Best Practices
Your goal is to help me write effective unit tests with TUnit, covering both standard and data-driven testing approaches.
Project Setup
- Use a separate test project with naming convention `[ProjectName].Tests`
- Reference TUnit package and TUnit.Assertions for fluent assertions
- Create test classes that match the classes being tested (e.g., `CalculatorTests` for `Calculator`)
- Use .NET SDK test commands: `dotnet test` for running tests
- TUnit requires .NET 8.0 or higher
Test Structure
- No test class attributes required (like xUnit/NUnit)
- Use `[Test]` attribute for test methods (not `[Fact]` like xUnit)
- Follow the Arrange-Act-Assert (AAA) pattern
- Name tests using the pattern `MethodName_Scenario_ExpectedBehavior`
- Use lifecycle hooks: `[Before(Test)]` for setup and `[After(Test)]` for teardown
- Use `[Before(Class)]` and `[After(Class)]` for shared context between tests in a class
- Use `[Before(Assembly)]` and `[After(Assembly)]` for shared context across test classes
- TUnit supports advanced lifecycle hooks like `[Before(TestSession)]` and `[After(TestSession)]`
Standard Tests
- Keep tests focused on a single behavior
- Avoid testing multiple behaviors in one test method
- Use TUnit's fluent assertion syntax with `await Assert.That()`
- Include only the assertions needed to verify the test case
- Make tests independent and idempotent (can run in any order)
- Avoid test interdependencies (use `[DependsOn]` attribute if needed)
Data-Driven Tests
- Use `[Arguments]` attribute for inline test data (equivalent to xUnit's `[InlineData]`)
- Use `[MethodData]` for method-based test data (equivalent to xUnit's `[MemberData]`)
- Use `[ClassData]` for class-based test data
- Create custom data sources by implementing `ITestDataSource`
- Use meaningful parameter names in data-driven tests
- Multiple `[Arguments]` attributes can be applied to the same test method
Assertions
- Use `await Assert.That(value).IsEqualTo(expected)` for value equality
- Use `await Assert.That(value).IsSameReferenceAs(expected)` for reference equality
- Use `await Assert.That(value).IsTrue()` or `await Assert.That(value).IsFalse()` for boolean conditions
- Use `await Assert.That(collection).Contains(item)` or `await Assert.That(collection).DoesNotContain(item)` for collections
- Use `await Assert.That(value).Matches(pattern)` for regex pattern matching
- Use `await Assert.That(action).Throws<TException>()` or `await Assert.That(asyncAction).ThrowsAsync<TException>()` to test exceptions
- Chain assertions with `.And` operator: `await Assert.That(value).IsNotNull().And.IsEqualTo(expected)`
- Use `.Or` operator for alternative conditions: `await Assert.That(value).IsEqualTo(1).Or.IsEqualTo(2)`
- Use `.Within(tolerance)` for DateTime and numeric comparisons with tolerance
- All assertions are asynchronous and must be awaited
Advanced Features
- Use `[Repeat(n)]` to repeat tests multiple times
- Use `[Retry(n)]` for automatic retry on failure
- Use `[ParallelLimit<T>]` to control parallel execution limits
- Use `[Skip("reason")]` to skip tests conditionally
- Use `[DependsOn(nameof(OtherTest))]` to create test dependencies
- Use `[Timeout(milliseconds)]` to set test timeouts
- Create custom attributes by extending TUnit's base attributes
Test Organization
- Group tests by feature or component
- Use `[Category("CategoryName")]` for test categorization
- Use `[DisplayName("Custom Test Name")]` for custom test names
- Consider using `TestContext` for test diagnostics and information
- Use conditional attributes like custom `[WindowsOnly]` for platform-specific tests
Performance and Parallel Execution
- TUnit runs tests in parallel by default (unlike xUnit which requires explicit configuration)
- Use `[NotInParallel]` to disable parallel execution for specific tests
- Use `[ParallelLimit<T>]` with custom limit classes to control concurrency
- Tests within the same class run sequentially by defaul
🎯 Best For
- QA engineers
- Developers writing unit tests
- Claude users
- GitHub Copilot users
- Software engineers
💡 Use Cases
- Generating test cases for edge conditions
- Writing integration test suites
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Csharp-Tunit to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Does this generate test mocks?
Many testing skills include mock generation. Check the install command and skill content for details.
Is Csharp-Tunit compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Csharp-Tunit?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Csharp-Tunit?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/csharp-tunit/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Not testing edge cases
AI tends to generate happy-path tests. Manually review for boundary conditions.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.