What project structure does this skill recommend?

It uses a modular layout with separate directories for API routes, core configuration, database models, Pydantic schemas, business logic services, and data access repositories.

Can I use these templates for microservices?

Absolutely. The modular design and lightweight FastAPI core make these templates ideal for building high-performance, independent microservice architectures.

Does this template support asynchronous database operations?

Yes, it specifically includes implementation patterns for SQLAlchemy's asynchronous engine and session management to ensure non-blocking I/O.

Is authentication included in these templates?

Yes, the skill provides patterns for JWT-based security, password hashing with passlib, and reusable dependency-based authorization for protected routes.

FastAPI Production Templates

Name: FastAPI Production Templates
Author: Microck

byMicrock

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110

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API Development

Generates high-performance, production-ready FastAPI project structures using modern async patterns and clean architecture.

This skill streamlines the creation of scalable FastAPI applications by providing standardized boilerplates and architectural patterns designed for production environments. It equips developers with essential components like asynchronous database sessions with SQLAlchemy, Pydantic data validation, and a robust dependency injection system. By implementing a multi-layered folder structure including dedicated service and repository layers, it ensures that your backend projects remain maintainable, secure, and optimized for high-concurrency workloads from the very first line of code.

Key Features

01Built-in dependency injection for authentication and database session management

02Production-grade JWT authentication and CORS middleware implementation

03Full asynchronous support for route handlers and database operations

04110 GitHub stars

05Comprehensive Pydantic schema validation and environment-based configuration

06Standardized multi-layer project architecture with Service and Repository patterns

Use Cases

01Implementing scalable microservices with PostgreSQL or MongoDB backends

02Bootstrapping a new high-performance Python REST API from scratch

03Migrating synchronous legacy Python applications to modern async FastAPI

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills fastapi-templates

For use in Claude.ai and ChatGPT

Download Skill