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Found 27 Skills
testcontainers-python specialist. Covers all container modules (PostgreSQL, MySQL, MongoDB, Redis, Kafka, RabbitMQ, MinIO, Elasticsearch, LocalStack), GenericContainer, wait strategies, Docker Compose, networks, pytest fixtures, and CI/CD integration. USE WHEN: user mentions "testcontainers", "docker in tests", "real database in tests", "test with real postgres/redis/kafka", asks about container fixtures or Docker-based testing. DO NOT USE FOR: Spring Boot testcontainers (Java) - use `spring-boot-integration`; Mocking HTTP - use `fastapi-testing`; Pure pytest patterns - use `pytest`
Change Data Capture - architecture, entrypoints, bytecode emission, sync engine integration, tests
Amazon DynamoDB patterns using AWS SDK for Java 2.x. Use when creating, querying, scanning, or performing CRUD operations on DynamoDB tables, working with indexes, batch operations, transactions, or integrating with Spring Boot applications.
Battle-tested testing best practices for AI coding assistants (40+ rules). Use when writing, reviewing, or generating tests. Covers test structure, data factories, assertions, mocking, DOM testing, and database testing. Works with Vitest, Jest, Playwright, Testing Library, Storybook, and more.
Test database interactions, schemas, and data integrity
Systematic approach to diagnosing and fixing failing tests in Rust projects. Use when tests fail and you need to diagnose root causes, fix async/await issues, handle race conditions, or resolve database connection problems.
Tests project primitive (SELECT fields)
Write integration tests using TestContainers for .NET with xUnit. Covers infrastructure testing with real databases, message queues, and caches in Docker containers instead of mocks.
Creates Robot Framework test cases for verifying data in database tables. Use when the user wants to verify record counts, export data to CSV, compare actual vs expected output, or validate pipeline execution results.
Complete testing setup with Neon database branching, Playwright browser tests, integration tests, and unit tests. Isolated branches with automatic TTL cleanup.
Creates integration tests for API endpoints with database flows, including test harness setup, fixtures, setup/teardown, database seeding, and CI-friendly strategies. Use for "integration testing", "API tests", "database tests", or "test harness".
Create comprehensive unit tests, integration tests, and end-to-end tests using pytest for Python projects. Specializes in FastAPI testing with TestClient, async testing with pytest-asyncio, SQLModel/SQLAlchemy database testing, fixture generation, and test configuration setup. Use when you need test coverage, want to implement TDD/BDD, create test suites for functions or API endpoints, add edge case testing, or improve code quality with automated testing. Triggers include requests like "write tests for this module", "create pytest fixtures", "test this FastAPI endpoint", "setup pytest configuration", or "generate test file".