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Found 41 Skills
Testing use cases and application services: use case testing with mocked gateways, DTO testing, application exception testing, orchestration testing, mocking at adapter boundaries. Coverage target: 85-90%. Use when: Testing use cases, testing application services, testing DTOs and data transformation, testing error handling in use cases, mocking external dependencies at layer boundaries.
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".
Python 3.13+ development specialist covering FastAPI, Django, async patterns, data science, testing with pytest, and modern Python features. Use when developing Python APIs, web applications, data pipelines, or writing tests.
Generate pytest test cases for Python functions and classes
Write Python code following best practices. Use when developing Python applications. Covers type hints, async, and modern tooling.
Pytest testing patterns for Python. Trigger: When writing or refactoring pytest tests (fixtures, mocking, parametrize, markers). For Prowler-specific API/SDK testing conventions, also use prowler-test-api or prowler-test-sdk.
Configure LangChain local development workflow with hot reload and testing. Use when setting up development environment, configuring test fixtures, or establishing a rapid iteration workflow for LangChain apps. Trigger with phrases like "langchain dev setup", "langchain local development", "langchain testing", "langchain development workflow".
Python testing with pytest, coverage, fixtures, parametrization, and mocking. Covers test organization, conftest.py, markers, async testing, and TDD workflows. Use when user mentions pytest, unit tests, test coverage, fixtures, mocking, or writing Python tests.
Write pytest tests with fixtures, parametrization, mocking, async testing, and modern patterns. Use when creating or updating Python test files. Not for unittest — use standard library patterns instead.
Use when implementing production-quality bioinformatics software with proper error handling, logging, testing, and documentation, following software engineering best practices.
Comprehensive pytest testing guide for FastAPI backends. Covers unit testing, integration testing, async patterns, mocking, fixtures, coverage, and FastAPI-specific testing with TestClient. Use when writing or updating test code for backend services, repositories, or API routes.
Эксперт Python разработки. Используй для Python best practices, async, typing и ecosystem.