Which testing frameworks are supported by this skill?

The skill supports a wide range of popular frameworks including Jest for JavaScript, pytest for Python, and JUnit for Java, among others.

Does it handle external dependencies and API calls?

Yes, the skill automatically identifies external dependencies and generates the necessary mocks or stubs to ensure tests remain isolated.

How do I trigger the test generation in Claude Code?

You can simply ask Claude to 'generate tests' for a specific file or use the 'gut' shortcut followed by the file path.

Can I specify a framework if I don't want to use the default?

Absolutely. You can explicitly request a specific framework by adding it to your request, such as 'generate tests --framework pytest [file path]'.

Automated Unit Test Generator

Name: Automated Unit Test Generator
Author: BbgnsurfTech

byBbgnsurfTech

•

Seguridad y Pruebas

Generates comprehensive unit test suites across multiple frameworks to ensure code reliability and accelerate development workflows.

Acerca de

This skill empowers developers to instantly create robust unit tests by analyzing source code and identifying key functional paths, edge cases, and error conditions. It intelligently detects or adopts specified testing frameworks like Jest, pytest, and JUnit, automatically generating the necessary mocks and stubs for external dependencies to isolate code under test. Whether you are adding coverage to legacy code or building new modules, this skill ensures high-quality assertions and prevents regressions with minimal manual effort.

Características Principales

Smart mock and stub creation for external dependencies
1 GitHub stars
Automated coverage for happy paths, edge cases, and errors
Intelligent framework detection based on project structure
Shortcut command support via 'gut' followed by file path
Multi-framework support including Jest, pytest, and JUnit

Casos de Uso

Generating boilerplate test files for new functions or classes
Identifying and testing complex edge cases in business logic
Rapidly increasing test coverage for existing legacy codebases

Acerca de

Características Principales

Smart mock and stub creation for external dependencies
1 GitHub stars
Automated coverage for happy paths, edge cases, and errors
Intelligent framework detection based on project structure
Shortcut command support via 'gut' followed by file path
Multi-framework support including Jest, pytest, and JUnit

Casos de Uso

Generating boilerplate test files for new functions or classes
Identifying and testing complex edge cases in business logic
Rapidly increasing test coverage for existing legacy codebases