python-testing-deep

Generate structured pytest patterns, fixtures, mocks, and coverage configuration.

Updated Aug 29, 2025
One-click install
npx skills add https://github.com/DDTully/dotfiles --skill python-testing-deep-ddtully
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-testing-deep
Source: https://github.com/DDTully/dotfiles/tree/main/skills/.agent_skills/python-testing-deep
Command: npx skills add https://github.com/DDTully/dotfiles --skill python-testing-deep-ddtully

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill provides a complete Python testing system that standardizes and automates pytest-based workflows, fixtures, mocks, and coverage setup to improve test quality and developer productivity.

Core Features & Use Cases

  • Pytest fundamentals and patterns for writing clear tests
  • Fixtures, scopes, and parameterized tests to cover multiple scenarios
  • Mocking with pytest-mock and context management for isolated tests
  • Async testing support with pytest-asyncio for FastAPI and async code
  • Coverage configuration and reporting for reliable quality metrics
  • Snapshot and property-based testing support (Hypothesis, syrupy) for stability
  • Guidance for organizing tests, conftest usage, and best practices

Quick Start

Run pytest to execute all tests and verify coverage while progressively adding fixtures, mocks, and async tests as your code evolves.

Frequently Asked Questions about python-testing-deep

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

FAQPage Schema
How do I test async FastAPI endpoints with pytest?

Async FastAPI endpoints are tested using pytest-asyncio to handle asynchronous execution. This skill provides structured patterns for configuring async support, writing coroutines, and validating responses in isolated contexts.

What is the best way to structure pytest fixtures for integration and unit tests?

Pytest fixtures provide reusable baseline states across test scopes. This skill delivers structured conftest patterns and fixture configurations to isolate dependencies, parameterize scenarios, and manage setup across unit and integration layers.

How do I use mocking with pytest-mock for isolated testing?

Mocking with pytest-mock isolates tests by replacing external dependencies with controlled objects. This skill provides context management patterns to inject mocks, verify interactions, and ensure reliable execution without hitting actual services.

Does pytest support property-based testing and snapshot testing?

Pytest supports property-based testing with Hypothesis and snapshot testing with syrupy for stability. This skill configures these tools to generate dynamic test cases and assert complex serialized outputs against stored baseline values.

How do I configure coverage reporting for a pytest workflow?

Coverage reporting for pytest is configured to measure executed lines and generate quality metrics. This skill automates coverage setup to track unit, integration, and API test effectiveness, ensuring reliable software validation.