mcpField
F
fastapi-development

fastapi-development

github.com/aj-geddesDevelopment373620 installsUpdated 34w ago
Repository

About fastapi-development

A FastAPI development skill for Python developers, covering async APIs, Pydantic validation, dependency injection, and JWT authentication, with topic-specific reference guides.

Key features

  1. 01Build async REST APIs
  2. 02Validate data with Pydantic
  3. 03Generate OpenAPI documentation
  4. 04Use dependency injection and service layers
  5. 05Implement JWT authentication

Use cases

  1. 01Develop high-performance Python APIs
  2. 02Create async API endpoints
  3. 03Build microservices
  4. 04Add authentication to protected routes

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill fastapi-development

After installing, type/fastapi-developmentin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
api-routes-with-async-endpoints.md
async-database-models-and-queries.md
fastapi-application-setup.md
pydantic-models-for-validation.md
security-and-jwt-authentication.md
service-layer-for-business-logic.md
scripts/
validate-api.sh
templates/
api-scaffold.yaml

Details

From the project README

FastAPI Development

Table of Contents

Overview

Create fast, modern Python APIs using FastAPI with async/await support, automatic API documentation, type validation using Pydantic, dependency injection, JWT authentication, and SQLAlchemy ORM integration.

When to Use

  • Building high-performance Python REST APIs
  • Creating async API endpoints
  • Implementing automatic OpenAPI/Swagger documentation
  • Leveraging Python type hints for validation
  • Building microservices with async support
  • Integrating Pydantic for data validation

Quick Start

Minimal working example:

# main.py
from fastapi import FastAPI, HTTPException, status
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager
import logging

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Create FastAPI instance
app = FastAPI(
    title="API Service",
    description="A modern FastAPI application",
    version="1.0.0",
    docs_url="/api/docs",
    openapi_url="/api/openapi.json"
)

# Add CORS middleware
app.add_middleware(
    CORSMiddleware,
    allow_origins=["http://localhost:3000"],
    allow_credentials=True,
    allow_methods=["*"],
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

GuideContents
FastAPI Application SetupFastAPI Application Setup
Pydantic Models for ValidationPydantic Models for Validation
Async Database Models and QueriesAsync Database Models and Queries
Security and JWT AuthenticationSecurity and JWT Authentication
Service Layer for Business LogicService Layer for Business Logic
API Routes with Async EndpointsAPI Routes with Async Endpoints

Best Practices

✅ DO
  • Use async/await for I/O operations
  • Leverage Pydantic for validation
  • Use dependency injection for services
  • Implement proper error handling with HTTPException
  • Use type hints for automatic OpenAPI documentation
  • Create service layers for business logic
  • Implement authentication on protected routes
  • Use environment variables for configuration
  • Return appropriate HTTP status codes
  • Document endpoints with docstrings and tags
❌ DON'T
  • Use synchronous database operations
  • Trust user input without validation
  • Store secrets in code
  • Ignore type hints
  • Return database models in responses
  • Implement authentication in route handlers
  • Use mutable default arguments
  • Forget to validate query parameters
  • Expose stack traces in production

Comments

Markdown supported