Pytest Best Practices

Name: Pytest Best Practices
Author: cfircoo

Checked

cfircoo·vlatest·testing·MIT

Enforces pytest best practices like parametrization, fixtures, and clear test naming for robust and maintainable tests.

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$ npx skills add cfircoo/claude-code-toolkit --skill pytest-best-practices -a claude-code

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cfircoo

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scanned 27 Sept 2026

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Scanned: 5 files, 691 lines

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About this skill

What it does

This skill provides guidance and best practices for writing effective tests using the pytest framework. It helps ensure test suites are maintainable, readable, and cover all critical aspects of a codebase. The skill focuses on improving testing workflows by applying established conventions and patterns within pytest.

When to use it

Refactoring existing tests: To improve the structure and readability of an older pytest-based test suite.
Starting a new project with pytest: To establish good testing habits from the beginning.
Debugging failing tests: To identify common pitfalls and ensure tests are properly configured.
Improving code coverage: To guide writing comprehensive tests that cover all critical functionality.

Key capabilities

Provides guidance on test structure and organization.
Offers best practices for fixture usage.
Suggests conventions for naming tests and assertions.
Addresses common pytest configuration issues.

Example prompts

"How should I structure my pytest tests for a Django project?"
"What's the best way to use fixtures in pytest to avoid duplication?"
"Can you give me some examples of good test names using pytest?"

Tips & gotchas

This skill assumes familiarity with the basics of Python and testing concepts. While it provides guidance, a solid understanding of pytest’s core functionality is helpful for optimal results.