python-testing-patterns
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
Best for Python developers writing t…Works with GitHubLow risk
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@wshobson- repo
- wshobson/agents
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- Python
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Apr 18, 2026
✦overview.md
Key Features
- ·Implement comprehensive testing strategies with pytest
- ·Use fixtures, mocking, and parameterization
- ·Apply test-driven development practices
- ·Structure tests using AAA pattern
- ·Measure test coverage
- ·Ensure test isolation
Use Cases
- →Writing unit tests for Python code
- →Setting up test suites and test infrastructure
- →Implementing test-driven development
- →Creating integration tests for APIs and services
- →Mocking external dependencies and services
Best for
- ✓Python developers writing tests
- ✓Teams implementing TDD
- ✓CI/CD pipeline setup
name
python-testing-patterns
description
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
Python Testing Patterns
Comprehensive guide to implementing robust testing strategies in Python using pytest, fixtures, mocking, parameterization, and test-driven development practices.
When to Use This Skill
- 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
Core Concepts
1. Test Types
- Unit Tests: Test individual functions/classes in isolation
- Integration Tests: Test interaction between components
- Functional Tests: Test complete features end-to-end
- Performance Tests: Measure speed and resource usage
2. Test Structure (AAA Pattern)
- Arrange: Set up test data and preconditions
- Act: Execute the code under test
- Assert: Verify the results
3. Test Coverage
- Measure what code is exercised by tests
- Identify untested code paths
$install
1-click copynpx skills add wshobson/agents --skill python-testing-patternsSafety assessment
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