Python Pytest Patterns

What it does

This skill enables AI agents to automatically generate, execute, and report on Python unit tests using the pytest framework. It streamlines the testing lifecycle by handling setup, assertion logic, and result aggregation without manual intervention.

When to use it

• You need rapid test generation for new backend modules or API endpoints.
• Your development workflow requires continuous integration checks before code commits.
• You want to validate edge cases and error handling paths automatically.
• You are refactoring legacy Python code and need regression testing coverage.

Key capabilities

• Generates executable pytest test files from natural language descriptions.
• Executes tests within the current Python environment context.
• Parses and summarizes pass/fail results with detailed error messages.
• Supports parameterized testing for multiple input scenarios.

Example prompts

• "Write a pytest suite to validate that my user authentication function rejects invalid tokens."
• "Run all existing tests for the payment processing module and summarize any failures."
• "Generate parameterized tests covering edge cases for the inventory calculation logic."

Tips & gotchas

Ensure your Python environment has pytest installed before invoking this skill, as it relies on the framework's standard library. For complex projects, provide specific file paths or function signatures to ensure generated tests target the correct code blocks.