Skill

python-testing-patterns

Implements pytest testing strategies with fixtures, mocking, parameterization, and TDD for Python unit, integration, async tests, databases, and CI/CD.

Python

Pytest

testing

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Comprehensive guide to implementing robust testing strategies in Python using pytest, fixtures, mocking, parameterization, and test-driven development practices.

Supporting Files

resources/implementation-playbook.md

SKILL.md

46 lines · ~433 tokens

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superpowers

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LanguagePython

Parent stars37,902

Parent forks6,202

MaintenanceExcellent

Last CommitMay 16, 2026

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Python Testing Patterns

Comprehensive guide to implementing robust testing strategies in Python using pytest, fixtures, mocking, parameterization, and test-driven development practices.

Use this skill when

Writing unit tests for Python code

Setting up test suites and test infrastructure

Implementing test-driven development (TDD)

Creating integration tests for APIs and services

Mocking external dependencies and services

Testing async code and concurrent operations

Setting up continuous testing in CI/CD

Implementing property-based testing

Testing database operations

Debugging failing tests

Do not use this skill when

The task is unrelated to python testing patterns

You need a different domain or tool outside this scope

Instructions

Clarify goals, constraints, and required inputs.

Apply relevant best practices and validate outcomes.

Provide actionable steps and verification.

If detailed examples are required, open resources/implementation-playbook.md.

Resources

resources/implementation-playbook.md for detailed patterns and examples.

Limitations

Use this skill only when the task clearly matches the scope described above.

Do not treat the output as a substitute for environment-specific validation, testing, or expert review.

Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.