fastapi-patterns

Standardizes FastAPI application development with modular architecture, dependency injection, and JWT authentication.

Updated Jul 8, 2026

Search Tags:#authentication #api #pydantic #fastapi #python #backend #sqlalchemy

Ready to run

npx skills add https://github.com/nazrulsoftwaredev/NIT_CRM_2 --skill fastapi-patterns-nazrulsoftwaredev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fastapi-patterns
Source: https://github.com/nazrulsoftwaredev/NIT_CRM_2/tree/main/.agents/skills/fastapi-patterns
Command: npx skills add https://github.com/nazrulsoftwaredev/NIT_CRM_2 --skill fastapi-patterns-nazrulsoftwaredev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the complexity of building scalable, maintainable, and secure FastAPI backends by providing standardized patterns for architecture, database management, and authentication.

Core Features & Use Cases

Architectural Standards: Implements a clean separation of concerns using routers, service layers, and Pydantic v2 schemas.
Robust Security: Provides pre-configured OAuth2 authentication, JWT handling, and dependency injection for user authorization.
Use Case: Use this Skill to bootstrap a new project or refactor an existing codebase to ensure it follows industry-standard practices for async database operations and transactional service logic.

Quick Start

Apply the fastapi-patterns skill to generate a project structure with integrated user authentication and database service layers.

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 application for production with SQLAlchemy and Pydantic?▼

Structure a FastAPI application using modular architecture with separate routers, service layers, and Pydantic v2 schemas to ensure maintainability and clean separation of concerns.

What is the best way to implement JWT authentication in FastAPI?▼

Implement JWT authentication in FastAPI using pre-configured OAuth2 workflows and dependency injection to standardize user authorization and secure your backend endpoints.

How do I manage async database sessions in FastAPI?▼

Manage async database sessions in FastAPI by implementing transactional service layers that handle asynchronous database operations, ensuring robust data integrity and code quality.

Can I use Pydantic v2 for data validation in an existing FastAPI codebase?▼

Yes, you can refactor an existing FastAPI codebase to use Pydantic v2 validation schemas, enforcing industry-standard practices for data processing and transactional service logic.

How do I test FastAPI applications with pytest and httpx?▼

Test FastAPI applications by enforcing comprehensive testing with pytest and httpx, ensuring that your modular architecture, service layers, and authentication workflows remain reliable.