fastapi-patterns

Standardize FastAPI project architecture with dependency injection and Pydantic v2 schemas.

Updated Jan 30, 2026
One-click install
npx skills add https://github.com/ThejanaJayalath/Niolla-PM-system --skill fastapi-patterns-thejanajayalath
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi-patterns
Source: https://github.com/ThejanaJayalath/Niolla-PM-system/tree/main/.cursor/skills/fastapi-patterns
Command: npx skills add https://github.com/ThejanaJayalath/Niolla-PM-system --skill fastapi-patterns-thejanajayalath

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the complexity of scaling FastAPI projects by providing a standardized, maintainable architecture that separates business logic from routing and database concerns.

Core Features & Use Cases

  • Clean Architecture: Implements a robust project structure with dedicated layers for services, schemas, and routers.
  • Production Patterns: Includes best practices for dependency injection, Pydantic v2 validation, async database operations, and JWT authentication.
  • Use Case: Use this skill to bootstrap a new backend service or refactor an existing monolithic FastAPI application into a modular, testable, and high-performance system.

Quick Start

Apply the fastapi-patterns skill to generate a structured project layout with service layers and async database configurations for your new API.

Frequently Asked Questions about fastapi-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure a FastAPI project for production?

Structure a FastAPI project for production by implementing clean architecture with dedicated layers for services, schemas, and routers. This separates business logic from routing and database concerns, ensuring maintainability and scalability.

What is the best way to separate business logic from routing in FastAPI?

Separate business logic from routing in FastAPI by using transactional service layers and dependency injection. This pattern isolates core logic from request handling, making the application modular and testable.

How do I set up async database operations in FastAPI with SQLAlchemy?

Set up async database operations in FastAPI with SQLAlchemy by configuring asynchronous database interactions within a structured service layer. This approach facilitates high-performance, non-blocking web services.

Does this FastAPI architecture pattern support Pydantic v2 validation?

This FastAPI architecture pattern supports Pydantic v2 validation by integrating robust schemas. It ensures type safety and efficient request data validation before processing business logic.

Can I use this FastAPI architecture to refactor an existing monolithic application?

You can use this FastAPI architecture to refactor an existing monolithic application into a modular, testable system. It provides standardized patterns for dependency injection and transactional services to ease migration.

How do I implement JWT authentication in a FastAPI service layer?

Implement JWT authentication in a FastAPI service layer by applying production patterns that integrate security directly into the architecture. This secures endpoints while maintaining clean separation of concerns.