Python Testing

Handles pytest fundamentals: fixtures, parametrization, coverage reporting, and mocking with unittest.mock. You'll reach for this when writing your first tests, setting up basic fixtures, or running TDD cycles on individual modules. The quick reference covers the commands you actually need (pytest -v, --cov, -k for filtering) and includes practical examples of parametrize decorators and fixture scopes. It's got a comparison table that's honest about when to graduate to pytest-advanced, which is refreshing. The conftest.py examples and pyproject.toml configuration will save you from hunting through docs. If you're building shared fixture libraries across multiple packages or tuning pytest-xdist for parallel execution, you've outgrown this one.

Install to Claude Code

npx -y skills add laurigates/claude-plugins --skill python-testing --agent claude-code