pytest

Test Python applications in SKUEL with pytest-asyncio and Result[T] assertions.

2|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/linguistic76/skuel --skill pytest-linguistic76
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pytest
Source: https://github.com/linguistic76/skuel/tree/main/app/.claude/skills/pytest
Command: npx skills add https://github.com/linguistic76/skuel --skill pytest-linguistic76

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers write robust, efficient, and maintainable tests for SKUEL services by providing patterns for common testing scenarios, asynchronous operations, and mocking.

Core Features & Use Cases

  • Result[T] Testing: Learn to assert outcomes of operations returning Result[T], focusing on is_ok and error handling.
  • Async Testing: Master testing asynchronous code using pytest-asyncio, including async fixtures and event loop management.
  • Mocking Strategies: Understand how to mock backends and services effectively for unit testing.
  • Use Case: When developing a new feature, use this Skill to understand the best practices for writing unit and integration tests, ensuring your code is thoroughly validated against SKUEL's testing philosophy.

Quick Start

Use the pytest skill to learn how to test asynchronous service calls that return a Result object.

Frequently Asked Questions about pytest

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

FAQPage Schema
How do I test asynchronous Python functions that return a Result object?

To test asynchronous Python functions returning a Result object, use pytest-asyncio for event loop management and assert the outcome using `is_ok` checks and error handling provided by the Result[T] pattern.

What is the best way to mock backends and services for Python unit testing?

The best way to mock backends for Python unit testing is to use targeted mocking strategies that isolate the service layer, allowing you to validate core business logic without relying on live external dependencies.

How do I manage async fixtures when testing integration scenarios?

Managing async fixtures in integration testing requires using pytest-asyncio conventions to handle event loop setup and teardown, ensuring asynchronous resources are properly initialized and cleaned up.

When do I need async fixtures versus standard fixtures in pytest?

You need async fixtures in pytest when your test setup involves asynchronous operations, such as awaiting database connections or service calls, whereas standard fixtures suffice for synchronous setup tasks.

Can I use pytest-asyncio to test services with complex event loop management?

Yes, pytest-asyncio supports testing services with complex event loop management by providing mechanisms to configure and control the event loop scope and behavior during your test execution.

Why does my Result[T] assertion fail when testing error handling in Python?

Result[T] assertions fail during error handling tests when the assertion logic does not properly check the error state, requiring you to validate the specific error type and message within the Result object.