Which programming languages does this skill support?

The skill provides patterns and examples specifically for JavaScript/TypeScript (using Jest and Faker) and Python (using pytest, unittest.mock, and Faker).

Can I generate reproducible test data with this skill?

Yes, the skill includes instructions for using seeded random data generators to ensure that your test data remains consistent across different test runs.

Can this skill help with API mocking?

Yes, it provides specific strategies for mocking global fetch calls in JavaScript and patching database queries in Python to simulate various API responses.

Does it support the creation of complex objects?

Absolutely. It includes structured guidance for the Builder pattern and Factory functions, which are ideal for handling complex, nested objects and varied data states.

Test Data Generator

Name: Test Data Generator
Author: armanzeroeight

byarmanzeroeight

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보안 및 테스팅

Generates high-quality test fixtures, mock data, and complex test scenarios to streamline unit and integration testing across multiple languages.

소개

The Test Data Generator skill empowers developers to quickly scaffold robust testing environments by creating realistic mock data and reusable fixtures. It supports multiple implementation patterns including factory functions, the builder pattern, and seeded random data generation using popular libraries like Faker. Whether you are mocking API responses in JavaScript, setting up pytest fixtures in Python, or simulating complex database states, this skill ensures your tests are consistent, maintainable, and thorough, significantly reducing the manual overhead of test setup.

주요 기능

API and database response mocking strategies for backend services
19 GitHub stars
Seeded data generation capabilities for reproducible test results
Cross-language support for JavaScript/TypeScript and Python testing
Factory function and builder pattern implementation templates
Realistic random data generation with Faker library integration

사용 사례

Simulating diverse API responses and error states during development
Generating consistent mock user profiles for frontend unit tests
Creating complex database state fixtures for backend integration testing

소개

주요 기능

API and database response mocking strategies for backend services
19 GitHub stars
Seeded data generation capabilities for reproducible test results
Cross-language support for JavaScript/TypeScript and Python testing
Factory function and builder pattern implementation templates
Realistic random data generation with Faker library integration

사용 사례

Simulating diverse API responses and error states during development
Generating consistent mock user profiles for frontend unit tests
Creating complex database state fixtures for backend integration testing