Testing Strategies Skill

Overview

This skill teaches comprehensive testing strategies for Python applications including unit, integration, and E2E testing.

Principles

• •Test Pyramid: More unit tests, fewer E2E tests
• •Test Isolation: Tests should be independent
• •Fast Tests: Tests should run quickly
• •Descriptive Names: Test names should be clear
• •AAA Pattern: Arrange, Act, Assert

Key Capabilities

1. Testing Types

• •Unit testing with pytest
• •Integration testing
• •End-to-end testing
• •Property-based testing with Hypothesis

2. Testing Tools

• •pytest (primary framework)
• •unittest.mock for mocking
• •pytest-mock for enhanced mocking
• •Hypothesis for property testing
• •pytest-cov for coverage

3. Best Practices

• •Fixtures for test setup
• •Parametrization for data-driven tests
• •Markers for test categorization
• •Mocking for external dependencies

When to Use This Skill

Load this skill when:

• •Designing test strategy
• •Writing unit tests
• •Creating integration tests
• •Implementing mocking
• •Adding property-based tests

Sections

• •unit-testing.md: pytest patterns, fixtures, parametrization
• •integration-testing.md: Database, API testing
• •mocking.md: unittest.mock, patching strategies
• •property-testing.md: Hypothesis, fuzz testing