python-fastapi-ops
FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagger, starlette, async api, rest api, uvicorn.
Best use case
python-fastapi-ops is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagger, starlette, async api, rest api, uvicorn.
Teams using python-fastapi-ops should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/python-fastapi-ops/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How python-fastapi-ops Compares
| Feature / Agent | python-fastapi-ops | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagger, starlette, async api, rest api, uvicorn.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# FastAPI Patterns
Modern async API development with FastAPI.
## Basic Application
```python
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"}
```
## Request/Response Models
```python
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
```
## Path and Query Parameters
```python
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)
```
## Dependency Injection
```python
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
```
## Exception Handling
```python
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"},
)
```
## Router Organization
```python
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")
```
## Quick Reference
| 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` |
## Additional Resources
- `./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
- `./scripts/scaffold-api.sh` - Generate API endpoint boilerplate
## Assets
- `./assets/fastapi-template.py` - Production-ready FastAPI app skeleton
---
## See Also
**Prerequisites:**
- `python-typing-ops` - Pydantic models and type hints
- `python-async-ops` - Async endpoint patterns
**Related Skills:**
- `python-database-ops` - SQLAlchemy integration
- `python-observability-ops` - Logging, metrics, tracing middleware
- `python-pytest-ops` - API testing with TestClientRelated Skills
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