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.

skills.sh installs: 463
GitHub stars: 59
last updated: Aug 21, 2026

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Install

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

Installs into .claude/skills of the current project.

Files

Python Testing

Quick reference for Python testing with pytest, coverage, fixtures, and best practices.

When to Use This Skill

Use this skill when...	Use pytest-advanced instead when...
Writing first pytest tests, learning fixtures and parametrization basics	Designing reusable conftest.py fixture hierarchies or parallel-execution markers
Setting up coverage reporting and basic mocking with `unittest.mock`	Tuning pytest-xdist, custom markers, or hookimpl plugins
Following TDD red-green-refactor cycles on a single module	Building shared fixture libraries across a multi-package test suite

When This Skill Applies

Writing unit tests and integration tests
Test-driven development (TDD)
Test fixtures and parametrization
Coverage analysis
Mocking and patching
Async testing

Quick Reference

Running Tests

# Basic test run
uv run pytest

# Verbose output
uv run pytest -v

# Show print statements
uv run pytest -s

# Stop at first failure
uv run pytest -x

# Run specific test
uv run pytest tests/test_module.py::test_function

# Run by keyword
uv run pytest -k "test_user"