Can this skill generate documentation for the mock API?

Yes, it automatically generates a complete OpenAPI 3.0 specification including all endpoint definitions, schemas, and methods.

Is the generated mock data realistic?

The skill uses your defined resource models and schemas to ensure that the mock response data is realistic and useful for testing frontend logic.

Does it handle authentication for mock endpoints?

Yes, the skill can identify authentication requirements and integrate appropriate middleware to simulate real-world security flows.

Which frameworks does the API Mocking skill support?

It supports popular frameworks across several languages, including Express.js, Fastify, Flask, FastAPI, Spring Boot, Gin, and Echo.

API Mocking & Server Generation

Name: API Mocking & Server Generation
Author: jeremylongshore

byjeremylongshore

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897

Desarrollo de API

Generates functional mock API servers with realistic response data to accelerate development and testing workflows.

Acerca de

The Mocking Apis skill enables developers to eliminate backend dependencies by automatically scaffolding mock servers based on design specifications. It supports multiple languages and frameworks—including Express, FastAPI, and Go—while handling resource modeling, schema enforcement, and authentication middleware. By generating realistic data and OpenAPI 3.0 documentation, this skill allows frontend and QA teams to work in parallel with backend development in a consistent, predictable environment.

Características Principales

Realistic data generation based on schema definitions
Standardized error handling and input validation patterns
897 GitHub stars
Multi-framework scaffolding for Node.js, Python, Java, and Go
Automated OpenAPI 3.0 specification generation
Built-in authentication and authorization middleware integration

Casos de Uso

Creating isolated sandbox environments for automated integration testing
Prototyping and validating API design concepts with stakeholders
Frontend development when the actual backend API is still under construction

Acerca de

Características Principales

Realistic data generation based on schema definitions
Standardized error handling and input validation patterns
897 GitHub stars
Multi-framework scaffolding for Node.js, Python, Java, and Go
Automated OpenAPI 3.0 specification generation
Built-in authentication and authorization middleware integration

Casos de Uso

Creating isolated sandbox environments for automated integration testing
Prototyping and validating API design concepts with stakeholders
Frontend development when the actual backend API is still under construction