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- tomevault-io/skills-registry
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- 2026년 4월 28일 22:53
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/tomevault-io/skills-registry --skill scaffolding-fastapi-dapr명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
| Use when this capability is needed.
> Use when this capability is needed.
Review architecture and API design for the vfs-s3 project. Use when the user mentions @architect, asks to review an issue's design, discuss module boundaries, API shape, or architectural decisions for vfs-s3. Also trigger when the user wants to create an ADR (Architecture Decision Record) or evaluate a technical approach for the project. Intended for dispatch from Codex automation or Claude routines; GitHub trigger phrase: @vfs-s3-bot please prepare design doc Use when this capability is needed.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | scaffolding-fastapi-dapr |
| description | | Use when this capability is needed. |
Build production-grade FastAPI backends with SQLModel, Dapr integration, and JWT authentication.
# Project setup
uv init backend && cd backend
uv add fastapi sqlmodel pydantic httpx python-jose uvicorn
# Development
uv run uvicorn main:app --reload --port 8000
# With Dapr sidecar
dapr run --app-id myapp --app-port 8000 -- uvicorn main:app
from sqlmodel import SQLModel, Field
from datetime import datetime
from typing import Optional, Literal
class TaskBase(SQLModel):
title: str = Field(max_length=200, index=True)
status: Literal["pending", "in_progress", "completed"] = "pending"
class Task(TaskBase, table=True):
id: Optional[int] = Field(default=None, primary_key=True)
created_at: datetime = Field(default_factory=datetime.now)
class TaskCreate(TaskBase):
pass
class TaskRead(TaskBase):
id: int
created_at: datetime
from sqlmodel.ext.asyncio.session import AsyncSession
from sqlalchemy.ext.asyncio import create_async_engine
import os
DATABASE_URL = os.getenv("DATABASE_URL").replace("postgresql://", "postgresql+asyncpg://")
engine = create_async_engine(DATABASE_URL)
async def get_session() -> AsyncSession:
async with AsyncSession(engine) as session:
yield session
from fastapi import FastAPI, Depends, HTTPException
from sqlmodel import select
app = FastAPI()
@app.post("/tasks", response_model=TaskRead, status_code=201)
async def create_task(task: TaskCreate, session: AsyncSession = Depends(get_session)):
db_task = Task.model_validate(task)
session.add(db_task)
await session.commit()
await session.refresh(db_task)
return db_task
@app.get("/tasks/{task_id}", response_model=TaskRead)
async def get_task(task_id: int, session: AsyncSession = Depends(get_session)):
task = await session.get(Task, task_id)
if not task:
raise HTTPException(status_code=404, detail="Not found")
return task
@app.patch("/tasks/{task_id}", response_model=TaskRead)
async def update_task(task_id: int, update: TaskUpdate, session: AsyncSession = Depends(get_session)):
task = await session.get(Task, task_id)
if not task:
raise HTTPException(status_code=404, detail="Not found")
update_data = update.model_dump(exclude_unset=)
task.sqlmodel_update(update_data)
session.add(task)
session.commit()
session.refresh(task)
task
from jose import jwt
import httpx
JWKS_URL = f"{SSO_URL}/.well-known/jwks.json"
async def get_current_user(authorization: str = Header()):
token = authorization.replace("Bearer ", "")
async with httpx.AsyncClient() as client:
jwks = (await client.get(JWKS_URL)).json()
payload = jwt.decode(token, jwks, algorithms=["RS256"])
return payload
@app.get("/protected")
async def protected_route(user = Depends(get_current_user)):
return {"user": user["sub"]}
See references/fastapi-patterns.md for audit logging, pagination, and OpenAPI configuration.
from fastapi import APIRouter, Request
router = APIRouter(prefix="/dapr", tags=["Dapr"])
@router.get("/subscribe")
async def subscribe():
"""Dapr calls this to discover subscriptions."""
return [{
"pubsubname": "pubsub",
"topic": "task-created",
"route": "/dapr/task-created"
}]
@router.post("/task-created")
async def handle_task_created(request: Request, session: AsyncSession = Depends(get_session)):
# CloudEvent wrapper - data is nested
event = await request.json()
task_data = event.get("data", event) # Handle both wrapped and unwrapped
# Process event
task = Task.model_validate(task_data)
session.add(task)
await session.commit()
return {"status": "processed"}
import httpx
DAPR_URL = "http://localhost:3500"
async def publish_event(topic: str, data: dict):
async with httpx.AsyncClient() as client:
await client.post(
f"{DAPR_URL}/v1.0/publish/pubsub/{topic}",
json=data,
headers={"Content-Type": "application/json"}
)
# Schedule a job via Dapr Jobs API (alpha)
async def schedule_job(name: str, schedule: str, callback_url: str, data: dict):
async with httpx.AsyncClient() as client:
await client.post(
f"{DAPR_URL}/v1.0-alpha1/jobs/{name}",
json={
"schedule": schedule, # "@every 5m" or "0 */5 * * * *"
"data": data,
},
headers={"dapr-app-callback-url": callback_url}
)
# Job callback endpoint
@app.post("/jobs/process")
async def process_job(request: Request):
job_data = await request.json()
# Handle job execution
return {"status": "completed"}
See references/dapr-patterns.md for state management and advanced patterns.
import structlog
structlog.configure(
processors=[
structlog.contextvars.merge_contextvars,
structlog.processors.TimeStamper(fmt="iso"),
structlog.processors.JSONRenderer()
]
)
log = structlog.get_logger()
log.info("task_created", task_id=task.id, user_id=user["sub"])
# Repository: data access only
class TaskRepository:
def __init__(self, session: AsyncSession):
self.session = session
async def create(self, task: TaskCreate) -> Task:
db_task = Task.model_validate(task)
self.session.add(db_task)
await self.session.commit()
return db_task
# Service: business logic
class TaskService:
def __init__(self, repo: TaskRepository):
self.repo = repo
async def create_task(self, task: TaskCreate, user_id: str) -> Task:
# Business logic here
return await self.repo.create(task)
# Dependency injection
def get_task_service(session: AsyncSession = Depends(get_session)):
return TaskService(TaskRepository(session))
@pytest.fixture
async def client(session):
app.dependency_overrides[get_session] = lambda: session
async with AsyncClient(
transport=ASGITransport(app=app),
base_url="http://test"
) as ac:
yield ac
@pytest.mark.anyio
async def test_create_task(client: AsyncClient):
response = await client.post("/tasks", json={"title": "Test"})
assert response.status_code == 201
See references/production-testing.md for full patterns.
backend/
├── app/
│ ├── __init__.py
│ ├── main.py # FastAPI app
│ ├── database.py # Async engine + session
│ ├── models/ # SQLModel schemas
│ ├── routers/ # API routes
│ ├── repositories/ # Data access layer
│ ├── services/ # Business logic
│ └── dapr/ # Dapr handlers
├── tests/
│ ├── conftest.py # Fixtures
│ └── test_*.py # Test files
├── components/ # Dapr components (k8s)
│ ├── pubsub.yaml
│ └── statestore.yaml
└── pyproject.toml
Run: python3 scripts/verify.py
Expected: ✓ scaffolding-fastapi-dapr skill ready
--library-id /fastapi/fastapi --topic dependenciesConverted and distributed by TomeVault — claim your Tome and manage your conversions.