Can I run tests in parallel using these patterns?

Yes, the skill provides patterns for pytest-xdist, ensuring that each worker process maintains its own isolated test database for safe parallel execution.

What is the test-reviewer agent?

The test-reviewer is a specialized agent within the skill that performs automated coverage analysis and quality reviews to ensure your tests follow best practices.

Why does this skill prefer real databases over mocks?

It prioritizes real database connections to verify actual SQL behavior, migrations, constraints, and indexes, providing significantly higher confidence in production readiness than simple mocks.

Does this skill support asynchronous testing?

Yes, it includes specialized configurations for pytest-asyncio and patterns for testing async FastAPI endpoints, transport clients, and fixtures.

Pytest Testing Patterns

Name: Pytest Testing Patterns
Author: ruslan-korneev

byruslan-korneev

Security & Testing

Implements a TDD-first approach for high-quality FastAPI testing using production-ready pytest patterns and database isolation.

About

Pytest Patterns is a specialized Claude Code skill designed to elevate the quality of Python backend testing, specifically optimized for FastAPI applications. It enforces a Test-Driven Development (TDD) workflow, providing standardized templates for clear test naming, the Arrange-Act-Assert pattern, and robust isolation techniques. By prioritizing real database connections over brittle mocks for internal logic and focusing on critical branch coverage, this skill ensures that your test suite is both reliable and comprehensive. It includes specialized commands for generating fixtures and mocks, alongside a test-reviewer agent that analyzes coverage and code quality.

Key Features

FastAPI-specific async testing configurations and specialized fixtures
Standardized mocking strategies for external services and APIs
Real database isolation patterns for SQL behavior validation
0 GitHub stars
TDD-first workflow integration with Red-Green-Refactor cycles
Branch coverage optimization and reporting configurations

Use Cases

Setting up a professional-grade testing suite for new FastAPI projects
Refactoring legacy Python tests to follow the Arrange-Act-Assert pattern
Improving CI/CD reliability through parallel test execution and branch coverage analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ruslan-korneev/python-backend-claude-plugins pytest-patterns

For use in Claude.ai and ChatGPT

Download Skill

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