Which testing frameworks does this skill support?

The skill provides optimized templates and support for Vitest, Jest, and Python's unittest.mock/Pytest frameworks.

Can I simulate specific error states?

Yes, the skill includes specialized generators for network errors, timeouts, and validation failures to help you test your application's error handling logic.

Does it provide support for database mocking?

It provides patterns for mocking common database operations including CRUD actions and transaction logic to ensure your business logic is tested in isolation.

Can it handle complex, nested data structures?

Yes, it includes a sophisticated DataGenerator that can recursively build complex objects, arrays, and type-safe mocks based on your schemas.

Does it support asynchronous functions and Promises?

Absolutely. It can generate mocks for async/await patterns, Promise chains, and simulate delayed responses or resolved/rejected states.

Automated Mock & Stub Generator

Name: Automated Mock & Stub Generator
Author: Protagonistss

byProtagonistss

Seguridad y Pruebas

Generates comprehensive mock data, stub functions, and test datasets to isolate code environments and accelerate automated testing.

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The Mock Generation skill empowers developers to rapidly create robust test environments by automatically identifying external dependencies and generating realistic mock data. It supports popular frameworks like Vitest, Jest, and Pytest, handling everything from simple type definitions to complex nested objects, asynchronous API responses, database operations, and time-based logic. This skill is essential for writing high-quality unit tests without the overhead of manual mock implementation, ensuring better test isolation and coverage.

Características Principales

Complex data generation for nested objects and boundary values
Automatic dependency analysis and function signature detection
0 GitHub stars
Simulation of asynchronous operations and various error scenarios
Multi-framework support for Jest, Vitest, and Python Pytest
Specialized mocks for REST APIs, databases, and system time

Casos de Uso

Isolating unit tests from external API dependencies and third-party services
Simulating edge cases and error states like network timeouts or validation failures
Generating large, type-safe datasets for stress testing and UI development

Acerca de

Características Principales

Complex data generation for nested objects and boundary values
Automatic dependency analysis and function signature detection
0 GitHub stars
Simulation of asynchronous operations and various error scenarios
Multi-framework support for Jest, Vitest, and Python Pytest
Specialized mocks for REST APIs, databases, and system time

Casos de Uso

Isolating unit tests from external API dependencies and third-party services
Simulating edge cases and error states like network timeouts or validation failures
Generating large, type-safe datasets for stress testing and UI development