What authentication methods are included?

The templates provide built-in patterns for JWT (JSON Web Token) authentication, including secure password hashing with Bcrypt and OAuth2 password flow compatibility.

Is the code generated compliant with modern Python standards?

Absolutely. The templates utilize Python 3.10+ features, Pydantic v2 schemas, and full type hinting to ensure code quality and IDE compatibility.

Does this skill support PostgreSQL and other databases?

Yes, the templates include implementation patterns for asynchronous database connections using SQLAlchemy and AsyncSession, which are compatible with PostgreSQL, MySQL, and SQLite.

Does it handle background tasks?

The templates include patterns for FastAPI's native BackgroundTasks and demonstrate how to integrate async workers for long-running processes.

Can I use these templates for microservices?

Yes, the modular structure is specifically designed to support both monolithic applications and microservice architectures with easy-to-isolate logic.

FastAPI Production Templates

Name: FastAPI Production Templates
Author: Microck

byMicrock

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API Development

Generates production-ready FastAPI project structures featuring asynchronous patterns, dependency injection, and scalable architecture.

About

This skill streamlines the development of high-performance backend services by providing robust, standardized FastAPI project templates. It implements enterprise-grade patterns including the Repository and Service layers, asynchronous database management with SQLAlchemy, and comprehensive Pydantic schema validation. Designed for developers building everything from microservices to complex REST APIs, it ensures consistency, security through JWT integration, and clean separation of concerns from the very first line of code.

Key Features

Scaffolds complete project directory structures following industry best practices
Implements asynchronous CRUD patterns using the Repository and Service layer architecture
Provides built-in dependency injection for database sessions and user authentication
Configures robust environment and configuration management using Pydantic Settings
Includes ready-to-use JWT authentication and authorization middleware patterns
89 GitHub stars

Use Cases

Bootstrapping a new high-performance Python microservice with database integration
Establishing a standardized backend framework for team-based API development
Refactoring existing synchronous Python APIs into modern asynchronous FastAPI architectures

About

Key Features

Scaffolds complete project directory structures following industry best practices
Implements asynchronous CRUD patterns using the Repository and Service layer architecture
Provides built-in dependency injection for database sessions and user authentication
Configures robust environment and configuration management using Pydantic Settings
Includes ready-to-use JWT authentication and authorization middleware patterns
89 GitHub stars

Use Cases

Bootstrapping a new high-performance Python microservice with database integration
Establishing a standardized backend framework for team-based API development
Refactoring existing synchronous Python APIs into modern asynchronous FastAPI architectures