Our review
This skill helps quickly scaffold production-ready FastAPI endpoints for client workflows, especially for SMB automation like QuickBooks, ShipStation, and webhook integrations.
Strengths
- Rapid endpoint creation with Pydantic models and automatic validation.
- Includes error handling and structured logging.
- Provides common patterns like webhook receivers (Stripe, ShipStation).
- Integrates with business services like QuickBooks via abstraction layers.
Limitations
- Requires familiarity with FastAPI and Pydantic models.
- Assumes pre-existing backend services (e.g., qbo_service) not included.
- May not cover all authentication or secret management scenarios.
Use this skill when building new API endpoints for client integrations, webhook receivers, or SMB automation workflows.
Avoid for simple CRUD operations without complex business logic, or when a full framework would be overkill.
Security analysis
SafeThe skill provides safe instructional code for building FastAPI endpoints without any destructive, exfiltrating, or obfuscated actions. It includes proper error handling, validation, and common patterns like webhook verification, posing no risk.
No concerns found
Examples
Scaffold a FastAPI endpoint to create invoices in QuickBooks. Include Pydantic models for line items, request validation, error handling for auth and validation errors, and integration with an existing qbo_service.Create a FastAPI webhook receiver for Stripe events. Include signature verification using the Stripe-Signature header, event handling logic, and proper logging.name: api-scaffolding description: Quickly scaffold production-ready FastAPI endpoints for client workflows. Use when building new APIs for QuickBooks, ShipStation, or webhook integrations.
API Scaffolding for SMB Automation
Spin up professional REST APIs in minutes for client deliverables.
When to Use This Skill
- Creating new API endpoints for client workflows
- Building webhook receivers (Stripe, ShipStation, etc.)
- Setting up FastAPI projects from scratch
- Adding endpoints to existing
execution/scripts
Quick Start: New Endpoint
1. Define the Pydantic Models
# execution/schemas/invoice.py
from pydantic import BaseModel, EmailStr, Field
from typing import Optional
from datetime import datetime
class LineItem(BaseModel):
description: str
quantity: int = Field(gt=0)
unit_price: float = Field(gt=0)
class CreateInvoiceRequest(BaseModel):
customer_email: EmailStr
customer_name: str = Field(min_length=1, max_length=100)
line_items: list[LineItem] = Field(min_length=1)
due_date: datetime
memo: Optional[str] = None
class InvoiceResponse(BaseModel):
invoice_id: str
qbo_id: Optional[str] = None
status: str
total: float
created_at: datetime
2. Create the Endpoint
# execution/api/invoices.py
from fastapi import APIRouter, HTTPException, Depends
from ..schemas.invoice import CreateInvoiceRequest, InvoiceResponse
from ..services.qbo_service import qbo_service
import logging
router = APIRouter(prefix="/invoices", tags=["invoices"])
log = logging.getLogger(__name__)
@router.post("/", response_model=InvoiceResponse, status_code=201)
async def create_invoice(request: CreateInvoiceRequest):
"""Create a new invoice in QuickBooks."""
try:
# Calculate total
total = sum(item.quantity * item.unit_price for item in request.line_items)
# Create in QBO
qbo_invoice = await qbo_service.create_invoice(
customer_email=request.customer_email,
customer_name=request.customer_name,
line_items=[item.model_dump() for item in request.line_items],
due_date=request.due_date,
memo=request.memo
)
log.info("Invoice created", extra={
"invoice_id": qbo_invoice.id,
"customer": request.customer_email,
"total": total
})
return InvoiceResponse(
invoice_id=qbo_invoice.doc_number,
qbo_id=qbo_invoice.id,
status="created",
total=total,
created_at=datetime.utcnow()
)
except QBOAuthError:
raise HTTPException(status_code=401, detail="QuickBooks auth expired")
except QBOValidationError as e:
raise HTTPException(status_code=422, detail=str(e))
except Exception as e:
log.exception("Invoice creation failed")
raise HTTPException(status_code=500, detail="Internal error")
3. Wire Up the Router
# execution/main.py
from fastapi import FastAPI
from .api import invoices, webhooks, inventory
app = FastAPI(
title="SMB Automation API",
version="1.0.0"
)
app.include_router(invoices.router, prefix="/api/v1")
app.include_router(webhooks.router, prefix="/api/v1")
app.include_router(inventory.router, prefix="/api/v1")
@app.get("/health")
async def health():
return {"status": "ok"}
Common Endpoint Patterns
Webhook Receiver
# execution/api/webhooks.py
from fastapi import APIRouter, Request, HTTPException, Header
import hmac
import hashlib
router = APIRouter(prefix="/webhooks", tags=["webhooks"])
@router.post("/stripe")
async def stripe_webhook(
request: Request,
stripe_signature: str = Header(alias="Stripe-Signature")
):
"""Handle Stripe webhook events."""
payload = await request.body()
# Verify signature
try:
event = stripe.Webhook.construct_event(
payload, stripe_signature, WEBHOOK_SECRET
)
except stripe.error.SignatureVerificationError:
raise HTTPException(status_code=400, detail="Invalid signature")
# Process idempotently
event_id = event["id"]
if await is_processed(event_id):
return {"status": "duplicate"}
# Handle event types
match event["type"]:
case "payment_intent.succeeded":
await handle_payment_success(event["data"]["object"])
case "invoice.paid":
await handle_invoice_paid(event["data"]["object"])
await mark_processed(event_id)
return {"status": "processed"}
CRUD Resource
# execution/api/customers.py
from fastapi import APIRouter, HTTPException, Query
from typing import Optional
router = APIRouter(prefix="/customers", tags=["customers"])
@router.get("/")
async def list_customers(
skip: int = Query(0, ge=0),
limit: int = Query(50, ge=1, le=100),
status: Optional[str] = None
):
"""List customers with pagination."""
customers = await customer_service.list(skip=skip, limit=limit, status=status)
return {"customers": customers, "total": len(customers)}
@router.get("/{customer_id}")
async def get_customer(customer_id: str):
"""Get customer by ID."""
customer = await customer_service.get(customer_id)
if not customer:
raise HTTPException(status_code=404, detail="Customer not found")
return customer
@router.post("/", status_code=201)
async def create_customer(request: CreateCustomerRequest):
"""Create new customer."""
customer = await customer_service.create(request)
return customer
@router.patch("/{customer_id}")
async def update_customer(customer_id: str, request: UpdateCustomerRequest):
"""Update customer."""
customer = await customer_service.update(customer_id, request)
if not customer:
raise HTTPException(status_code=404, detail="Customer not found")
return customer
@router.delete("/{customer_id}", status_code=204)
async def delete_customer(customer_id: str):
"""Delete customer."""
deleted = await customer_service.delete(customer_id)
if not deleted:
raise HTTPException(status_code=404, detail="Customer not found")
Background Task Trigger
# execution/api/jobs.py
from fastapi import APIRouter, BackgroundTasks
router = APIRouter(prefix="/jobs", tags=["jobs"])
@router.post("/sync-inventory")
async def trigger_inventory_sync(background_tasks: BackgroundTasks):
"""Trigger background inventory sync."""
job_id = generate_job_id()
background_tasks.add_task(sync_inventory_task, job_id)
return {
"job_id": job_id,
"status": "queued",
"check_status": f"/api/v1/jobs/{job_id}"
}
@router.get("/{job_id}")
async def get_job_status(job_id: str):
"""Check job status."""
job = await job_store.get(job_id)
if not job:
raise HTTPException(status_code=404, detail="Job not found")
return job
Project Structure
execution/
├── main.py # FastAPI app entry
├── api/
│ ├── __init__.py
│ ├── invoices.py # Invoice endpoints
│ ├── webhooks.py # Webhook receivers
│ ├── customers.py # Customer CRUD
│ └── jobs.py # Background job triggers
├── schemas/
│ ├── __init__.py
│ ├── invoice.py # Invoice Pydantic models
│ └── customer.py # Customer Pydantic models
├── services/
│ ├── __init__.py
│ ├── qbo_service.py # QuickBooks API client
│ └── stripe_service.py # Stripe API client
└── core/
├── config.py # Settings from .env
├── database.py # DB connection (if needed)
└── security.py # Auth helpers
Essential Dependencies
# requirements.txt
fastapi>=0.109.0
uvicorn>=0.27.0
pydantic>=2.5.0
pydantic-settings>=2.1.0
httpx>=0.26.0
python-dotenv>=1.0.0
Running Locally
# Install
pip install -r requirements.txt
# Run
uvicorn execution.main:app --reload --port 8000
# Docs
open http://localhost:8000/docs
Deployment Checklist
- [ ] All endpoints have Pydantic request/response models
- [ ] Error handling returns proper status codes
- [ ] Logging includes context (IDs, user info)
- [ ] Secrets in
.env, not hardcoded - [ ] Health endpoint at
/health - [ ] CORS configured if needed
- [ ] Rate limiting for public endpoints
Next.js App Router Expert
Development
A skill that turns Claude into a Next.js App Router expert.
README Generator
Development
Creates professional and comprehensive README.md files for your projects.
API Documentation Writer
Development
Generates comprehensive API documentation in OpenAPI/Swagger format.