pytest

Generate pytest test scaffolds and fixtures for Python and FastAPI projects.

Updated Jan 7, 2026
One-click install
npx skills add https://github.com/mmbilal2725/task_management_api --skill pytest-mmbilal2725
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pytest
Source: https://github.com/mmbilal2725/task_management_api/tree/main/.claude/skills/pytest
Command: npx skills add https://github.com/mmbilal2725/task_management_api --skill pytest-mmbilal2725

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This skill provides comprehensive guidance and tooling to write, organize, and maintain pytest tests for Python projects, including FastAPI apps, with templates, fixtures, and best practices to accelerate reliable test development.

Core Features & Use Cases

  • Generates test scaffolds from Python source code using a generator script.
  • Covers FastAPI testing patterns: TestClient, AsyncClient, dependency overrides, authentication.
  • Provides fixtures/templates and reference documentation to streamline test suites.
  • Teaches pytest patterns, parametrization, mocking, and test organization.

Quick Start

  • Generate tests from a module: python scripts/generate_tests.py path/to/module.py
  • Copy fixtures/templates from assets to tests/ (and commands)
  • Run: pytest tests/

Frequently Asked Questions about pytest

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

FAQPage Schema
How do I generate pytest tests for a Python module?

You can generate pytest tests by running a script against your source file. The generated scaffolds provide ready-to-use test structures that accelerate reliable test development across Python projects.

How do I test FastAPI endpoints with pytest?

Testing FastAPI endpoints with pytest involves using TestClient or AsyncClient. You can apply dependency overrides and authentication patterns to validate API behavior through provided fixtures and templates.

What's the best way to organize pytest fixtures and mocking patterns?

Organizing pytest fixtures and mocking patterns involves copying provided templates into your tests directory. These assets streamline test suites by offering reusable fixtures, parametrization, and best practice references.

Can I use pytest parametrization and mocking for large Python codebases?

Yes, pytest parametrization and mocking apply to Python codebases of varying sizes. The provided guidance covers test organization patterns and fixtures designed to scale reliably across complex projects.

Why do I need a generator script for pytest scaffolding instead of writing tests manually?

A generator script automates pytest scaffolding from Python source code, eliminating manual setup overhead. It produces consistent test templates that ensure immediate, reliable coverage for your modules.

Does pytest testing work without installing external dependencies?

Yes, pytest testing works without external dependencies. The skill provides standalone scripts, assets, and reference documentation to generate and organize tests without requiring additional package installations.