scaffolding-fastapi-dapr
Build production-grade FastAPI backends with SQLModel, Dapr integration, and JWT authentication. Use when building REST APIs with Neon PostgreSQL, implementing event-driven microservices with Dapr pub/sub, scheduling jobs, or creating CRUD endpoints with JWT/JWKS verification. NOT when building simple scripts or non-microservice architectures.
Best use case
scaffolding-fastapi-dapr is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Build production-grade FastAPI backends with SQLModel, Dapr integration, and JWT authentication. Use when building REST APIs with Neon PostgreSQL, implementing event-driven microservices with Dapr pub/sub, scheduling jobs, or creating CRUD endpoints with JWT/JWKS verification. NOT when building simple scripts or non-microservice architectures.
Build production-grade FastAPI backends with SQLModel, Dapr integration, and JWT authentication. Use when building REST APIs with Neon PostgreSQL, implementing event-driven microservices with Dapr pub/sub, scheduling jobs, or creating CRUD endpoints with JWT/JWKS verification. NOT when building simple scripts or non-microservice architectures.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "scaffolding-fastapi-dapr" skill to help with this workflow task. Context: Build production-grade FastAPI backends with SQLModel, Dapr integration, and JWT authentication. Use when building REST APIs with Neon PostgreSQL, implementing event-driven microservices with Dapr pub/sub, scheduling jobs, or creating CRUD endpoints with JWT/JWKS verification. NOT when building simple scripts or non-microservice architectures.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/scaffolding-fastapi-dapr/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How scaffolding-fastapi-dapr Compares
| Feature / Agent | scaffolding-fastapi-dapr | 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?
Build production-grade FastAPI backends with SQLModel, Dapr integration, and JWT authentication. Use when building REST APIs with Neon PostgreSQL, implementing event-driven microservices with Dapr pub/sub, scheduling jobs, or creating CRUD endpoints with JWT/JWKS verification. NOT when building simple scripts or non-microservice architectures.
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 + Dapr Backend
Build production-grade FastAPI backends with SQLModel, Dapr integration, and JWT authentication.
## Quick Start
```bash
# 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
```
---
## FastAPI Core Patterns
### 1. SQLModel Schema (Database + API)
```python
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
```
### 2. Async Database Setup
```python
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
```
### 3. CRUD Endpoints
```python
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=True)
task.sqlmodel_update(update_data)
session.add(task)
await session.commit()
await session.refresh(task)
return task
```
### 4. JWT/JWKS Authentication
```python
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](references/fastapi-patterns.md) for audit logging, pagination, and OpenAPI configuration.
---
## Dapr Integration Patterns
### 1. Pub/Sub Subscription
```python
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"}
```
### 2. Publishing Events
```python
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"}
)
```
### 3. Scheduled Jobs
```python
# 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](references/dapr-patterns.md) for state management and advanced patterns.
---
## Production Patterns
### Structured Logging
```python
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 + Service Pattern
```python
# 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))
```
### Async Testing
```python
@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](references/production-testing.md) for full patterns.
---
## Project Structure
```
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
```
---
## Verification
Run: `python3 scripts/verify.py`
Expected: `✓ scaffolding-fastapi-dapr skill ready`
## If Verification Fails
1. Check: references/ folder has both pattern files
2. **Stop and report** if still failing
## Related Skills
- **configuring-better-auth** - JWT/JWKS auth for API endpoints
- **fetching-library-docs** - FastAPI docs: `--library-id /fastapi/fastapi --topic dependencies`
## References
- [references/fastapi-patterns.md](references/fastapi-patterns.md) - Complete FastAPI backend patterns
- [references/dapr-patterns.md](references/dapr-patterns.md) - Dapr pub/sub, state, and jobs
- [references/sqlmodel-patterns.md](references/sqlmodel-patterns.md) - SQLModel database patterns and migrations
- [references/production-testing.md](references/production-testing.md) - Structured logging, DI, testing, versioningRelated Skills
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