How do I access the generated documentation?

Once the server is running, the skill configures a Swagger UI endpoint (typically at /swagger) where you can interactively test your API.

Are the data models type-safe?

Yes, the skill generates Python dataclasses which provide better type hinting and structure than standard dictionaries, including built-in methods for JSON serialization.

What is flask-smorest and why is it used here?

flask-smorest is a Flask extension that simplifies the creation of REST APIs by providing automatic OpenAPI (Swagger) documentation, request validation, and response serialization.

Does this skill support database integration?

Yes, it includes a singleton service manager pattern designed to house database connections and allows for optional integration with specialized database setup skills.

Can I use this for complex, multi-resource projects?

Absolutely. The skill uses a modular blueprint architecture, allowing you to easily add and organize dozens of different features and endpoints.

Flask Smorest API Scaffolder

Name: Flask Smorest API Scaffolder
Author: jmazzahacks

byjmazzahacks

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API Development

Generates production-ready Flask REST APIs with automatic OpenAPI documentation, modular blueprint architecture, and type-safe dataclass models.

About

This skill provides a standardized framework for building robust Flask APIs using the flask-smorest extension. It automates the creation of a modular project structure, including blueprint-based routing, centralized service management via the singleton pattern, and Python dataclass models equipped with serialization and validation logic. Perfect for developers who need to move quickly from a project concept to a fully documented, Swagger-enabled backend that follows professional development patterns and clean code principles.

Key Features

Centralized singleton manager for database and service instances
Automatic OpenAPI/Swagger UI documentation integration
Modular blueprint architecture for scalable endpoint management
Standardized environment configuration and CORS support
1 GitHub stars
Type-safe data models using Python dataclasses with to_dict/from_dict

Use Cases

Building documented REST endpoints with automatic request/response validation
Setting up a production-ready API server with modular organization
Bootstrapping a new Flask-based microservice or backend application

About

Key Features

Centralized singleton manager for database and service instances
Automatic OpenAPI/Swagger UI documentation integration
Modular blueprint architecture for scalable endpoint management
Standardized environment configuration and CORS support
1 GitHub stars
Type-safe data models using Python dataclasses with to_dict/from_dict

Use Cases

Building documented REST endpoints with automatic request/response validation
Setting up a production-ready API server with modular organization
Bootstrapping a new Flask-based microservice or backend application