What is the AAA pattern in Python testing?

The Arrange-Act-Assert (AAA) pattern is a structural standard that separates test setup, execution, and verification into three distinct sections for improved readability and maintenance.

How does this skill handle asynchronous code?

The skill provides specific patterns for using the @pytest.mark.asyncio decorator and managing asynchronous fixtures to test non-blocking Python code correctly.

Can I use this to improve my project's test coverage?

Yes, it includes configurations for pytest-cov and best practices designed to help projects reach and maintain a minimum of 80% test coverage.

What is the benefit of using fixture factories?

Fixture factories allow you to create customizable test data within a fixture, providing more flexibility than static fixtures when testing different object states.

Does this skill help with mocking external APIs?

Yes, it provides authoritative examples of using unittest.mock and patch to isolate your application logic from external service calls and databases.

Pytest Modern Test Patterns

Name: Pytest Modern Test Patterns
Author: Agentient

byAgentient

Seguridad y Pruebas

Implements high-quality Python testing suites using modern pytest structures, the AAA pattern, and advanced fixture management.

Acerca de

This skill equips Claude with authoritative patterns for creating robust, maintainable Python test suites designed to achieve 80%+ code coverage. It enforces the industry-standard Arrange-Act-Assert (AAA) structure, provides sophisticated guidance on fixture lifecycles and factories, and demonstrates best practices for complex parametrization and mocking. By using this skill, developers can ensure their test code remains clean, readable, and effective at catching regressions in both synchronous and asynchronous Python applications.

Características Principales

Enforces the Arrange-Act-Assert (AAA) test organization pattern
Implements advanced parametrization to reduce test code duplication
Supports asynchronous testing using pytest-asyncio and async fixtures
0 GitHub stars
Manages complex fixture scopes and reusable fixture factories
Provides secure mocking and patching patterns for external dependencies

Casos de Uso

Refactoring legacy Python test suites into clean, standardized pytest structures
Developing comprehensive unit and integration tests for new API services
Configuring automated coverage reporting and enforcement in CI/CD pipelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agentient/vibekit pytest-patterns

For use in Claude.ai and ChatGPT

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