skills/0xdarkmatter/python-fastapi-patterns/SKILL.md
FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagger, starlette, async api, rest api, uvicorn.
npx skillsauth add aiskillstore/marketplace python-fastapi-patternsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Modern async API development with FastAPI.
from fastapi import FastAPI
from contextlib import asynccontextmanager
@asynccontextmanager
async def lifespan(app: FastAPI):
"""Application lifespan - startup and shutdown."""
# Startup
app.state.db = await create_db_pool()
yield
# Shutdown
await app.state.db.close()
app = FastAPI(
title="My API",
version="1.0.0",
lifespan=lifespan,
)
@app.get("/")
async def root():
return {"message": "Hello World"}
from pydantic import BaseModel, Field, EmailStr
from datetime import datetime
class UserCreate(BaseModel):
"""Request model with validation."""
name: str = Field(..., min_length=1, max_length=100)
email: EmailStr
age: int = Field(..., ge=0, le=150)
class UserResponse(BaseModel):
"""Response model."""
id: int
name: str
email: EmailStr
created_at: datetime
model_config = {"from_attributes": True} # Enable ORM mode
@app.post("/users", response_model=UserResponse, status_code=201)
async def create_user(user: UserCreate):
db_user = await create_user_in_db(user)
return db_user
from fastapi import Query, Path
from typing import Annotated
@app.get("/users/{user_id}")
async def get_user(
user_id: Annotated[int, Path(..., ge=1, description="User ID")],
):
return await fetch_user(user_id)
@app.get("/users")
async def list_users(
skip: Annotated[int, Query(ge=0)] = 0,
limit: Annotated[int, Query(ge=1, le=100)] = 10,
search: str | None = None,
):
return await fetch_users(skip=skip, limit=limit, search=search)
from fastapi import Depends
from typing import Annotated
async def get_db():
"""Database session dependency."""
async with async_session() as session:
yield session
async def get_current_user(
token: Annotated[str, Depends(oauth2_scheme)],
db: Annotated[AsyncSession, Depends(get_db)],
) -> User:
"""Authenticate and return current user."""
user = await authenticate_token(db, token)
if not user:
raise HTTPException(status_code=401, detail="Invalid token")
return user
# Annotated types for reuse
DB = Annotated[AsyncSession, Depends(get_db)]
CurrentUser = Annotated[User, Depends(get_current_user)]
@app.get("/me")
async def get_me(user: CurrentUser):
return user
from fastapi import HTTPException
from fastapi.responses import JSONResponse
# Built-in HTTP exceptions
@app.get("/items/{item_id}")
async def get_item(item_id: int):
item = await fetch_item(item_id)
if not item:
raise HTTPException(status_code=404, detail="Item not found")
return item
# Custom exception handler
class ItemNotFoundError(Exception):
def __init__(self, item_id: int):
self.item_id = item_id
@app.exception_handler(ItemNotFoundError)
async def item_not_found_handler(request, exc: ItemNotFoundError):
return JSONResponse(
status_code=404,
content={"detail": f"Item {exc.item_id} not found"},
)
from fastapi import APIRouter
# users.py
router = APIRouter(prefix="/users", tags=["users"])
@router.get("/")
async def list_users():
return []
@router.get("/{user_id}")
async def get_user(user_id: int):
return {"id": user_id}
# main.py
from app.routers import users, items
app.include_router(users.router)
app.include_router(items.router, prefix="/api/v1")
| Feature | Usage |
|---------|-------|
| Path param | @app.get("/items/{id}") |
| Query param | def f(q: str = None) |
| Body | def f(item: ItemCreate) |
| Dependency | Depends(get_db) |
| Auth | Depends(get_current_user) |
| Response model | response_model=ItemResponse |
| Status code | status_code=201 |
./references/dependency-injection.md - Advanced DI patterns, scopes, caching./references/middleware-patterns.md - Middleware chains, CORS, error handling./references/validation-serialization.md - Pydantic v2 patterns, custom validators./references/background-tasks.md - Background tasks, async workers, scheduling./scripts/scaffold-api.sh - Generate API endpoint boilerplate./assets/fastapi-template.py - Production-ready FastAPI app skeletonPrerequisites:
python-typing-patterns - Pydantic models and type hintspython-async-patterns - Async endpoint patternsRelated Skills:
python-database-patterns - SQLAlchemy integrationpython-observability-patterns - Logging, metrics, tracing middlewarepython-pytest-patterns - API testing with TestClientdevelopment
Apple Human Interface Guidelines for content display components. Use this skill when the user asks about charts component, collection view, image view, web view, color well, image well, activity view, lockup, data visualization, content display, displaying images, rendering web content, color pickers, or presenting collections of items in Apple apps. Also use when the user says how should I display charts, what's the best way to show images, should I use a web view, how do I build a grid of items, what component shows media, or how do I present a share sheet. Cross-references: hig-foundations for color/typography/accessibility, hig-patterns for data visualization patterns, hig-components-layout for structural containers, hig-platforms for platform-specific component behavior.
tools
Automate HelpDesk tasks via Rube MCP (Composio): list tickets, manage views, use canned responses, and configure custom fields. Always search tools first for current schemas.
testing
Expert Haskell engineer specializing in advanced type systems, pure functional design, and high-reliability software. Use PROACTIVELY for type-level programming, concurrency, and architecture guidance.
tools
GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.