testcontainers-integration-tests▌
aaronontheweb/dotnet-skills · updated Apr 8, 2026
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Use this skill when:
Integration Testing with TestContainers
When to Use This Skill
Use this skill when:
- Writing integration tests that need real infrastructure (databases, caches, message queues)
- Testing data access layers against actual databases
- Verifying message queue integrations
- Testing Redis caching behavior
- Avoiding mocks for infrastructure components
- Ensuring tests work against production-like environments
- Testing database migrations and schema changes
Reference Files
- database-patterns.md: SQL Server, PostgreSQL, and migration testing examples
- infrastructure-patterns.md: Redis, RabbitMQ, multi-container networks, container reuse, and Respawn
Core Principles
- Real Infrastructure Over Mocks - Use actual databases/services in containers, not mocks
- Test Isolation - Each test gets fresh containers or fresh data
- Automatic Cleanup - TestContainers handles container lifecycle and cleanup
- Fast Startup - Reuse containers across tests in the same class when appropriate
- CI/CD Compatible - Works seamlessly in Docker-enabled CI environments
- Port Randomization - Containers use random ports to avoid conflicts
Why TestContainers Over Mocks?
The Problem with Mocking Infrastructure
// BAD: Mocking a database
public class OrderRepositoryTests
{
private readonly Mock<IDbConnection> _mockDb = new();
[Fact]
public async Task GetOrder_ReturnsOrder()
{
// This doesn't test real SQL behavior, constraints, or performance
_mockDb.Setup(db => db.QueryAsync<Order>(It.IsAny<string>()))
.ReturnsAsync(new[] { new Order { Id = 1 } });
var repo = new OrderRepository(_mockDb.Object);
var order = await repo.GetOrderAsync(1);
Assert.NotNull(order);
}
}
Problems: doesn't test actual SQL queries, misses constraints/indexes, gives false confidence, doesn't catch SQL syntax errors.
Better: TestContainers with Real Database
// GOOD: Testing against a real database
public class OrderRepositoryTests : IAsyncLifetime
{
private readonly TestcontainersContainer _dbContainer;
private IDbConnection _connection;
public OrderRepositoryTests()
{
_dbContainer = new TestcontainersBuilder<TestcontainersContainer>()
.WithImage("mcr.microsoft.com/mssql/server:2022-latest")
.WithEnvironment("ACCEPT_EULA", "Y")
.WithEnvironment("SA_PASSWORD", "Your_password123")
.WithPortBinding(1433, true)
.Build();
}
public async Task InitializeAsync()
{
await _dbContainer.StartAsync();
var port = _dbContainer.GetMappedPublicPort(1433);
var connectionString = $"Server=localhost,{port};Database=TestDb;User Id=sa;Password=Your_password123;TrustServerCertificate=true";
_connection = new SqlConnection(connectionString);
await _connection.OpenAsync();
await RunMigrationsAsync(_connection);
}
public async Task DisposeAsync()
{
await _connection.DisposeAsync();
await _dbContainer.DisposeAsync();
}
[Fact]
public async Task GetOrder_WithRealDatabase_ReturnsOrder()
{
await _connection.ExecuteAsync(
"INSERT INTO Orders (Id, CustomerId, Total) VALUES (1, 'CUST1', 100.00)");
var repo = new OrderRepository(_connection);
var order = await repo.GetOrderAsync(1);
Assert.NotNull(order);
Assert.Equal("CUST1", order.CustomerId);
Assert.Equal(100.00m, order.Total);
}
}
See database-patterns.md for complete SQL Server, PostgreSQL, and migration testing examples.
See infrastructure-patterns.md for Redis, RabbitMQ, multi-container networks, container reuse, and Respawn database reset patterns.
Required NuGet Packages
<ItemGroup>
<PackageReference Include="Testcontainers" Version="*" />
<PackageReference Include="xunit" Version="*" />
<PackageReference Include="xunit.runner.visualstudio" Version="*" />
<!-- Database-specific packages -->
<PackageReference Include="Microsoft.Data.SqlClient" Version="*" />
<PackageReference Include="Npgsql" Version="*" /> <!-- For PostgreSQL -->
<PackageReference Include="MySqlConnector" Version="*" /> <!-- For MySQL -->
<!-- Other infrastructure -->
<PackageReference Include="StackExchange.Redis" Version="*" /> <!-- For Redis -->
<PackageReference Include="RabbitMQ.Client" Version="*" /> <!-- For RabbitMQ -->
</ItemGroup>
Best Practices
- Always Use IAsyncLifetime - Proper async setup and teardown
- Wait for Port Availability - Use
WaitStrategyto ensure containers are ready
How to use testcontainers-integration-tests on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add testcontainers-integration-tests
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches testcontainers-integration-tests from GitHub repository aaronontheweb/dotnet-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate testcontainers-integration-tests. Access the skill through slash commands (e.g., /testcontainers-integration-tests) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★39 reviews- ★★★★★Oshnikdeep· Dec 20, 2024
testcontainers-integration-tests is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Li Kim· Dec 16, 2024
testcontainers-integration-tests reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Isabella White· Dec 12, 2024
testcontainers-integration-tests has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Nov 11, 2024
Useful defaults in testcontainers-integration-tests — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Mateo Yang· Nov 7, 2024
Registry listing for testcontainers-integration-tests matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ganesh Mohane· Nov 3, 2024
Keeps context tight: testcontainers-integration-tests is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Chen Huang· Nov 3, 2024
Solid pick for teams standardizing on skills: testcontainers-integration-tests is focused, and the summary matches what you get after install.
- ★★★★★Valentina Kim· Oct 26, 2024
Useful defaults in testcontainers-integration-tests — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Yash Thakker· Oct 22, 2024
We added testcontainers-integration-tests from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Advait Garcia· Oct 22, 2024
I recommend testcontainers-integration-tests for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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