How does it handle mock data creation?

The skill suggests using Factory Functions to generate mock data objects, allowing for easy overrides and scalable test data management.

Are asynchronous tests supported for backend development?

Yes, it includes specific patterns for using pytest.mark.asyncio to test asynchronous Python functions and API endpoints.

Does this skill support both frontend and backend testing?

Yes, it provides specific patterns for Frontend (Next.js/React) using Jest/RTL and Backend (FastAPI/Python) using Pytest.

What is the recommended React Testing Library query strategy?

The skill prioritizes queries based on user accessibility, recommending getByRole first, followed by getByLabelText, getByText, and getByTestId as a last resort.

What testing methodology does this skill promote?

It heavily promotes the AAA (Arrange, Act, Assert) pattern to ensure tests are readable and maintainable.

Full-Stack Testing Patterns

Name: Full-Stack Testing Patterns
Author: mance-cyber

bymance-cyber

Security & Testing

Enforces standardized testing architectures and TDD workflows for Next.js and FastAPI applications.

About

The Testing Patterns skill provides a comprehensive framework for implementing high-quality tests across the GoGoJap project stack. It bridges the gap between frontend and backend testing by providing specific patterns for Jest, React Testing Library, and Pytest. By implementing the AAA (Arrange, Act, Assert) pattern, factory functions for mock data, and query prioritization for UI testing, this skill ensures that developers can maintain a robust, scalable, and consistent testing suite for complex web applications.

Key Features

React Testing Library query prioritization and user-event simulation
Enforced naming conventions for test files and descriptive test cases
Standardized AAA (Arrange, Act, Assert) pattern implementation
Scalable mock data generation using factory functions
Pytest fixture and asynchronous testing patterns for FastAPI
0 GitHub stars

Use Cases

Building robust backend test suites for asynchronous Python APIs
Generating unit tests for React components with complex state and props
Standardizing testing workflows across a full-stack development team

About

Key Features

React Testing Library query prioritization and user-event simulation
Enforced naming conventions for test files and descriptive test cases
Standardized AAA (Arrange, Act, Assert) pattern implementation
Scalable mock data generation using factory functions
Pytest fixture and asynchronous testing patterns for FastAPI
0 GitHub stars

Use Cases

Building robust backend test suites for asynchronous Python APIs
Generating unit tests for React components with complex state and props
Standardizing testing workflows across a full-stack development team