fastapi-templates

Generate FastAPI project templates with async patterns and layered architecture.

6|2|Updated Oct 19, 2025
One-click install
npx skills add https://github.com/amurata/cc-tools --skill fastapi-templates-amurata
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi-templates
Source: https://github.com/amurata/cc-tools/tree/main/plugins/api-scaffolding/skills/fastapi-templates
Command: npx skills add https://github.com/amurata/cc-tools --skill fastapi-templates-amurata

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the creation of a robust, production-ready FastAPI project structure, saving developers significant time and effort in setting up new backend APIs.

Core Features & Use Cases

  • Project Scaffolding: Generates a well-organized directory structure for FastAPI applications.
  • Async Patterns: Implements best practices for asynchronous operations in web services.
  • Dependency Injection: Sets up FastAPI's dependency injection system for cleaner code.
  • Repository & Service Layers: Includes patterns for data access and business logic separation.
  • Authentication: Provides foundational security patterns for user authentication.
  • Use Case: When starting a new microservice that requires a fast, scalable, and well-structured Python backend API, use this Skill to generate the initial project boilerplate.

Quick Start

Use the fastapi-templates skill to generate a new FastAPI project structure.

Frequently Asked Questions about fastapi-templates

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

FAQPage Schema
How do I scaffold a production-ready FastAPI project structure?

To scaffold a production-ready FastAPI project, this Skill generates a well-organized directory structure with layered architecture, async patterns, and dependency injection. It automates boilerplate creation to save setup time for scalable Python backend APIs.

What is the best way to structure a FastAPI backend with SQLAlchemy and Pydantic?

The best way to structure a FastAPI backend is using repository and service layers for data access and business logic separation. This Skill sets up that layered architecture alongside SQLAlchemy database integration and Pydantic validation automatically.

Does this FastAPI boilerplate include authentication and CRUD operations?

Yes, this FastAPI boilerplate includes foundational security patterns for user authentication and supports CRUD operations. It provides the necessary project structure to handle data creation, retrieval, updates, and deletion out of the box.

Can I use this template for asynchronous Python web services?

Yes, you can use this template for asynchronous Python web services. It implements best practices for async operations within FastAPI, ensuring your scalable backend API handles concurrent requests efficiently.

Do I need to manually configure dependency injection in FastAPI?

No, you do not need to manually configure dependency injection. This Skill sets up the FastAPI dependency injection system automatically, allowing for cleaner code and easier management of shared resources across your application.