Does it support mock data generation?

When integrated with the test-generator plugin, it supports advanced features like automatic mock data creation, stub functions, and boundary value testing.

Which testing frameworks does this skill support?

It features built-in detection for Vitest, Jest, Pytest, and JUnit, and can adapt its output based on the framework identified in your project's configuration.

What happens if the professional test-generator plugin is not installed?

The skill automatically triggers a 'fallback' mode, generating a basic test suite using internal templates and providing the user with installation instructions for the full plugin.

Can I configure it to always use professional mode?

Yes, the skill includes a preference management system that remembers your choice to use professional mode and can be configured via project-level JSON files.

Test Generation Integration

Name: Test Generation Integration
Author: Protagonistss

byProtagonistss

Seguridad y Pruebas

Integrates specialized testing plugins and provides intelligent fallbacks to streamline unit test generation across multiple frameworks.

Acerca de

The Test Generation Integration skill bridges the gap between general development tasks and specialized testing workflows within Claude Code. It automatically detects the presence of professional testing plugins like test-generator, proxies complex requests for mocks and coverage, and intelligently identifies project frameworks such as Jest, Vitest, or Pytest. By providing a robust fallback mechanism that generates basic tests when specialized tools are absent, it ensures developers always have a starting point for their test suites while offering a clear path to advanced automation.

Características Principales

Automatic detection and verification of professional testing plugins
0 GitHub stars
Graceful fallback to basic test generation templates
Seamless proxying of test generation requests with custom parameters
Persistent user preference management for testing modes
Intelligent framework detection for Jest, Vitest, Pytest, and JUnit

Casos de Uso

Automating boilerplate unit test creation for new functions and classes
Bridging dev-tools with specialized plugins for high-fidelity test generation
Standardizing testing workflows across teams with different plugin configurations

Acerca de

Características Principales

Automatic detection and verification of professional testing plugins
0 GitHub stars
Graceful fallback to basic test generation templates
Seamless proxying of test generation requests with custom parameters
Persistent user preference management for testing modes
Intelligent framework detection for Jest, Vitest, Pytest, and JUnit

Casos de Uso

Automating boilerplate unit test creation for new functions and classes
Bridging dev-tools with specialized plugins for high-fidelity test generation
Standardizing testing workflows across teams with different plugin configurations