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aj-geddes/useful-ai-prompts605 installs

fastapi-development

Build high-performance FastAPI applications with async routes, validation, dependency injection, security, and automatic API documentation. Use when developing modern Python APIs with async support, automatic OpenAPI documentation, and high performance requirements.

How do I install this agent skill?

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

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill is safe to use. It provides standard templates and best practice documentation for building FastAPI applications, including database integration, Pydantic validation, and JWT authentication.

  • Socketwarn

    1 alert: gptSecurity

  • Snykpass

    Risk: LOW · No issues

  • Runlayerpass

    9 files scanned · No issues

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

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

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/aj-geddes/useful-ai-prompts/fastapi-development">View fastapi-development on skillZs</a>