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fastapi-development
by aiskillstore
Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
⭐ 102🍴 3📅 Jan 23, 2026
SKILL.md
name: fastapi-development description: Build async APIs with FastAPI, including endpoints, dependency injection, validation, and testing. Use when creating REST APIs, web backends, or microservices.
FastAPI Development
Quick start
Create a basic FastAPI application:
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
async def read_root():
return {"Hello": "World"}
@app.get("/items/{item_id}")
async def read_item(item_id: int, q: str | None = None):
return {"item_id": item_id, "q": q}
Run with:
uv run uvicorn main:app --reload
Common patterns
Pydantic models for validation
from pydantic import BaseModel
from typing import Optional
class Item(BaseModel):
name: str
description: Optional[str] = None
price: float
tax: Optional[float] = None
@app.post("/items/")
async def create_item(item: Item):
return item
Dependency injection
from typing import Annotated
from fastapi import Depends
async def common_parameters(
q: str | None = None,
skip: int = 0,
limit: int = 100
):
return {"q": q, "skip": skip, "limit": limit}
CommonsDep = Annotated[dict, Depends(common_parameters)]
@app.get("/items/")
async def read_items(commons: CommonsDep):
return commons
Database dependencies with cleanup
async def get_db():
db = connect_to_database()
try:
yield db
finally:
db.close()
@app.get("/query/")
async def query_data(db: Annotated[dict, Depends(get_db)]):
return {"data": "query results"}
Error handling
from fastapi import HTTPException
@app.get("/items/{item_id}")
async def read_item(item_id: int):
if item_id < 1:
raise HTTPException(status_code=404, detail="Item not found")
return {"item_id": item_id}
Path and query validation
from typing import Annotated
from fastapi import Path, Query
@app.get("/items/{item_id}")
async def read_item(
item_id: Annotated[int, Path(gt=0, le=1000)],
q: Annotated[str, Query(max_length=50)] = None
):
return {"item_id": item_id, "q": q}
Response models
from pydantic import BaseModel
class ItemPublic(BaseModel):
id: int
name: str
price: float
@app.get("/items/{item_id}", response_model=ItemPublic)
async def read_item(item_id: int):
return ItemPublic(id=item_id, name="Laptop", price=999.99)
Testing with TestClient
from fastapi.testclient import TestClient
client = TestClient(app)
def test_read_root():
response = client.get("/")
assert response.status_code == 200
assert response.json() == {"Hello": "World"}
def test_read_item():
response = client.get("/items/42?q=test")
assert response.status_code == 200
assert response.json() == {"item_id": 42, "q": "test"}
Requirements
uv add fastapi uvicorn
uv add "fastapi[all]" # Includes all optional dependencies
Key concepts
- Async/await: Use
async deffor I/O operations - Automatic validation: Request/response validation with Pydantic
- Dependency injection: Share logic across endpoints with
Depends - Type hints: Full editor support and validation
- Interactive docs: Auto-generated Swagger/OpenAPI at
/docs - Background tasks: Run tasks after response using
BackgroundTasks
Score
Total Score
60/100
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