Automate Python testing workflows with pytest fixtures, parametrization, mocking, and markers.
npx skills add https://github.com/dtaborda/quiz-experience --skill pytest-dtaborda
Please help me install this Agent Skill. Skill: pytest Source: https://github.com/dtaborda/quiz-experience/tree/main/skills/pytest Command: npx skills add https://github.com/dtaborda/quiz-experience --skill pytest-dtaborda
Python testing can be brittle and hard to maintain without reusable fixtures, clear test organization, and reliable mocking. Pytest provides a mature framework to write scalable tests with fixtures, parameterization, and expressive assertions.
Install pytest, write a simple test using a fixture, and run pytest to execute tests and see the results.
High-intent search queries and answers about installing and using this skill.
Python testing with pytest uses reusable fixtures to manage setup state and keep tests maintainable. Fixtures provide consistent contexts across test functions, enabling scalable unit and integration tests without repeating initialization logic.
Parametrization in pytest allows you to run a single test function against multiple data sets. By applying parametrization markers, you generate data-driven tests that execute automatically across varying inputs to verify edge cases.
Pytest supports both unit and integration testing for Python projects of varying sizes. You apply custom markers to categorize tests, enabling selective runs across your codebase whether testing isolated functions or combined service components.
Markers in pytest let you label test functions with custom metadata for selective execution. You apply built-in or custom markers to categorize tests by type or feature, then run pytest targeting only those marked subsets.
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