Does it provide guidance on test structure?

Yes, the skill emphasizes the AAA (Arrange-Act-Assert) pattern to ensure your tests are readable, maintainable, and logically structured.

Is it focused solely on pytest?

While it prioritizes pytest for its powerful fixture and parameterization features, the core testing logic and mocking patterns are applicable across most Python testing frameworks.

Can I use this skill to mock external API responses?

Absolutely. It provides detailed patterns for using unittest.mock and patch to simulate API responses and verify service interactions without making real network calls.

Does this skill support testing for async Python code?

Yes, it includes specific patterns for testing asynchronous functions, concurrent operations, and async fixtures using pytest-asyncio standards.

Python Testing Patterns

Name: Python Testing Patterns
Author: Microck

byMicrock

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セキュリティとテスト

Implement robust Python test suites using pytest, advanced mocking, and test-driven development best practices.

概要

This skill equips Claude with specialized knowledge for writing high-quality Python tests, ranging from basic unit testing to complex integration scenarios. It provides architectural guidance on the Arrange-Act-Assert (AAA) pattern, fixture management, and environment isolation. Whether you are building a new test suite from scratch or refactoring legacy test code, this skill offers the implementation patterns needed to handle asynchronous operations, external dependency mocking, and comprehensive parameterization to ensure code reliability.

主な機能

Comprehensive mocking patterns using unittest.mock for external dependencies
Advanced pytest fixture implementation for modular setup and teardown
81 GitHub stars
Strict exception testing and environment variable manipulation for isolation
Parameterized testing strategies to maximize edge-case coverage
Asynchronous test patterns for modern async/await Python applications

ユースケース

Mocking complex API clients and database connections to ensure test isolation
Implementing Test-Driven Development (TDD) workflows in existing repositories
Building comprehensive unit and integration test suites for Python backend services

概要

主な機能

Comprehensive mocking patterns using unittest.mock for external dependencies
Advanced pytest fixture implementation for modular setup and teardown
81 GitHub stars
Strict exception testing and environment variable manipulation for isolation
Parameterized testing strategies to maximize edge-case coverage
Asynchronous test patterns for modern async/await Python applications

ユースケース

Mocking complex API clients and database connections to ensure test isolation
Implementing Test-Driven Development (TDD) workflows in existing repositories
Building comprehensive unit and integration test suites for Python backend services