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.
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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.
