MCPInstall

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.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill fastapi-development
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads fastapi-development automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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

FAQ

What does the fastapi-development skill do?

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 fastapi-development?

Run npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill fastapi-development in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/fastapi-development/ (personal) or .claude/skills/fastapi-development/ (project).

Which AI agents can use fastapi-development?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is fastapi-development safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains fastapi-development?

It is published by aj-geddes in aj-geddes/useful-ai-prompts. It has 618 recorded installs.

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