What architectural patterns are implemented?

The skill implements a robust 4-tier architecture: API (endpoints), Service Layer (business logic), Repository Layer (data access), and Pydantic Schemas (data validation).

Can I use this for existing projects or just new ones?

While optimized for bootstrapping new projects, you can use the patterns to refactor existing codebases into the recommended layered architecture.

Does it include authentication?

Yes, it provides implementation patterns for JWT (JSON Web Token) authentication, password hashing with passlib, and authorization dependencies.

Does this skill support asynchronous database drivers?

Yes, the templates are designed specifically for async/await patterns using SQLAlchemy's async engine and session management.

FastAPI Project Scaffolding

Name: FastAPI Project Scaffolding
Author: EngineerWithAI

byEngineerWithAI

0•

API Development

Generates production-grade FastAPI project structures featuring asynchronous patterns, dependency injection, and robust architectural layers.

The FastAPI Project Templates skill provides a standardized, professional-grade foundation for building high-performance Python APIs. It automates the creation of complex folder structures and boilerplate code, implementing best practices such as the Repository and Service patterns to decouple business logic from data access. By integrating asynchronous database operations with SQLAlchemy, Pydantic data validation, and built-in JWT authentication, this skill helps developers move from conception to a secure, scalable backend architecture in seconds.

Key Features

01Comprehensive project structure including API, core, models, schemas, and services layers.

02Built-in asynchronous database integration using SQLAlchemy and async engines.

03Robust authentication and authorization using JWT tokens and password hashing.

040 GitHub stars

05FastAPI Dependency Injection system for session management and configuration.

06Standardized CRUD Repository pattern for consistent and testable data access.

Use Cases

01Bootstrapping a new high-performance microservice with Python.

02Implementing secure async REST endpoints with PostgreSQL or MongoDB backends.

03Refactoring existing flat-file APIs into a scalable layered architecture.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add engineerwithai/engineerwith-agents fastapi-templates

For use in Claude.ai and ChatGPT

Download Skill