How does it handle external dependencies like databases?

It utilizes fixtures for setup/teardown and sophisticated mocking techniques to isolate tests from slow or external I/O, ensuring fast and reliable test execution.

Does this skill support testing asynchronous code?

Yes, it provides specific patterns for async testing using pytest-asyncio and AsyncMock to handle non-blocking operations.

Can it help with test organization?

Yes, it recommends a standardized project structure with separate unit and integration directories, alongside a centralized conftest.py for shared fixtures.

Does it support testing multiple data scenarios efficiently?

Absolutely, it leverages @pytest.mark.parametrize to run the same test logic against multiple inputs, reducing code duplication and increasing coverage.

Pytest Coder

Name: Pytest Coder
Author: majesticlabs-dev

bymajesticlabs-dev

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セキュリティとテスト

Generates high-quality, maintainable Python tests using the pytest framework and modern testing patterns.

概要

Pytest Coder is a specialized skill that transforms Claude into a Python testing expert, enabling the creation of comprehensive unit and integration test suites. It implements industry best practices like the Arrange-Act-Assert (AAA) pattern, efficient mocking with unittest.mock, and advanced pytest features such as fixtures, parametrization, and async testing. This skill is ideal for developers looking to improve code coverage, ensure software reliability, and maintain a clean test architecture that separates behavior from implementation.

主な機能

Configures reusable fixtures and complex fixture scoping
Implements the Arrange-Act-Assert (AAA) testing pattern
Handles asynchronous testing with pytest-asyncio
9 GitHub stars
Generates parametrized tests for efficient edge-case coverage
Utilizes advanced mocking and patching techniques

ユースケース

Mocking external API dependencies and database interactions
Building a robust test suite for a new FastAPI or Flask backend
Refactoring legacy Python code with comprehensive unit tests

概要

主な機能

Configures reusable fixtures and complex fixture scoping
Implements the Arrange-Act-Assert (AAA) testing pattern
Handles asynchronous testing with pytest-asyncio
9 GitHub stars
Generates parametrized tests for efficient edge-case coverage
Utilizes advanced mocking and patching techniques

ユースケース

Mocking external API dependencies and database interactions
Building a robust test suite for a new FastAPI or Flask backend
Refactoring legacy Python code with comprehensive unit tests