python-testing-patterns

Overview

What is python-testing-patterns?

python-testing-patterns is a practical skill for implementing comprehensive automated testing strategies in Python. It focuses on using pytest, fixtures, mocking, and test-driven development (TDD) to help you write reliable, maintainable tests for your Python codebase. This skill is ideal for developers, QA engineers, and teams looking to standardize and improve their Python testing workflows.

Who should use this skill?

• Python developers writing new code or refactoring legacy projects
• Test automation engineers setting up or improving test suites
• Teams adopting TDD or aiming for higher test coverage
• Anyone needing to test APIs, async code, databases, or external integrations in Python

Problems solved by python-testing-patterns

• Organizes your test suite using proven patterns (unit, integration, functional, performance)
• Demonstrates the Arrange-Act-Assert (AAA) structure for clear, maintainable tests
• Shows how to use fixtures and mocking to isolate tests and handle dependencies
• Covers advanced topics like async testing, property-based testing, and CI/CD integration

How to Use

Installation steps

1. Add the skill to your agent or project with:
   npx skills add https://github.com/wshobson/agents --skill python-testing-patterns
2. Review the main documentation in SKILL.md for a guided overview of test types, structure, and best practices.
3. Explore advanced patterns in references/advanced-patterns.md, including async testing, monkeypatching, and database test strategies.

File and folder guide

• SKILL.md: Start here for a summary of core concepts, when to use the skill, and foundational patterns.
• references/advanced-patterns.md: Deep dive into advanced use cases like async code, property-based testing, and CI/CD setup.
• references/: Additional resources and pattern examples.

Adapting the skill to your workflow

• Use the provided patterns as templates, but adapt them to your project's structure, dependencies, and CI/CD tools.
• Integrate with pytest and other Python testing tools as shown in the examples.
• Follow the Arrange-Act-Assert pattern for clarity and maintainability.

FAQ

When is python-testing-patterns a good fit?

Use this skill when you need to:

• Set up or improve automated testing in Python projects
• Implement TDD or increase test coverage
• Test async functions, APIs, databases, or external services
• Standardize test structure and isolation practices

What files should I review first?

Begin with SKILL.md for an overview, then check references/advanced-patterns.md for advanced topics. The references/ folder contains further examples and resources.

Does this skill require pytest?

Yes, most patterns and examples use pytest as the primary test runner and framework. Familiarity with pytest is recommended.

Can I use this skill for both unit and integration tests?

Absolutely. The skill covers patterns for unit, integration, functional, and performance testing, with guidance on when and how to apply each.

Where can I find more examples?

Open the Files tab to browse the full file tree, including nested references and helper scripts for additional context and examples.