pytest-coder

Automate writing pytest tests with fixtures, parametrization, mocking, and async cases.

47|11|Updated Nov 26, 2025

Search Tags:#testing #pytest #fixtures #parametrization

Ready to run

npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill pytest-coder

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pytest-coder
Source: https://github.com/majesticlabs-dev/majestic-marketplace/tree/main/plugins/majestic-python/skills/pytest-coder
Command: npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill pytest-coder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps write comprehensive and maintainable pytest tests across unit and integration layers.

Core Features & Use Cases

AAA pattern, fixtures, parametrization, and mocking examples.
Async testing patterns and test organization guidelines.
Best practices for test naming, coverage, and error scenarios.

Quick Start

Create tests structure with fixtures and sample tests following the patterns shown.

Frequently Asked Questions about pytest-coder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I write pytest tests with fixtures and parametrization?▼

Fixtures provide reusable test setup and teardown, while parametrization runs the same test logic across multiple input sets. pytest-coder automates writing both patterns following the AAA (Arrange-Act-Assert) structure, reducing boilerplate and improving test maintainability across unit and integration scenarios.

What's the best way to mock external dependencies in pytest?▼

Mocking isolates tests by replacing external I/O and dependencies with controlled stubs. pytest-coder generates mock patterns that verify behavior and enable fast feedback without hitting real APIs, databases, or file systems, essential for comprehensive test coverage.

Can I use pytest for async testing?▼

Yes. pytest supports async test patterns through plugins and coroutine fixtures. pytest-coder provides async testing scaffolding and examples, letting you test asynchronous Python code with the same fixtures, parametrization, and mocking strategies as synchronous tests.

How do I organize and name tests for clarity and coverage?▼

Descriptive test names, logical file structure, and fixture reuse improve readability and prevent duplication. pytest-coder generates well-organized test suites with clear naming conventions and broad coverage guidance, making intent obvious and maintenance straightforward.

Does pytest work for both unit and integration testing?▼

pytest handles unit and integration layers in the same framework. pytest-coder scaffolds tests across both layers, using fixtures and mocking to keep unit tests fast and isolated while supporting integration scenarios that validate component interaction.