api-scaffolding
Quickly scaffold production-ready FastAPI endpoints for client workflows. Use when building new APIs for QuickBooks, ShipStation, or webhook integrations.
Best use case
api-scaffolding is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Quickly scaffold production-ready FastAPI endpoints for client workflows. Use when building new APIs for QuickBooks, ShipStation, or webhook integrations.
Teams using api-scaffolding 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/api-scaffolding/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How api-scaffolding Compares
| Feature / Agent | api-scaffolding | 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?
Quickly scaffold production-ready FastAPI endpoints for client workflows. Use when building new APIs for QuickBooks, ShipStation, or webhook integrations.
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
# 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
```python
# 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
```python
# 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
```python
# 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
```python
# 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
```python
# 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
```python
# 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
```txt
# 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
```bash
# 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 endpointsRelated Skills
project-scaffolding
Project type detection matrix, template recommendations per project type, post-scaffolding checklist, Harness integration patterns, and testing recommendations
helm-chart-scaffolding
Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.
Code Scaffolding
Generate boilerplate code for new modules, services, and components
api-scaffolding-fastapi-pro
Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns. Use PROACTIVELY for FastAPI development, async optimization, or API architecture. Use when: the request is FastAPI focused (APIRouter, dependency injection, Pydantic models, async endpoint implementation). Do not use when: the request is Django ORM/admin oriented or primarily GraphQL schema and resolver architecture.
api-scaffolding-django-pro
Master Django 5.x with async views, DRF, Celery, and Django Channels. Build scalable web applications with proper architecture, testing, and deployment. Use PROACTIVELY for Django development, ORM optimization, or complex Django patterns. Use when: the request is Django or DRF focused (models, migrations, admin, serializers, viewsets, manage.py). Do not use when: the request is FastAPI/Pydantic/SQLAlchemy specific or centered on GraphQL schema-first design.
api-scaffolding-backend-architect
Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles service boundary definition, inter-service communication, resilience patterns, and observability. Use PROACTIVELY when creating new backend services or APIs. Use when: a broad backend architecture plan is requested across multiple API styles or services. Do not use when: the user asks for concrete framework-level implementation details better handled by a framework-specific skill.
abp-contract-scaffolding
Generate ABP Application.Contracts layer scaffolding (interfaces, DTOs, permissions) from technical design. Enables parallel development by abp-developer and qa-engineer. Use when: (1) backend-architect needs to generate contracts, (2) preparing for parallel implementation workflow, (3) creating API contracts before implementation.
bgo
Automated Blender build-go workflow. Automatically builds, removes old version, installs, enables, and launches Blender with your extension/add-on. Use when you want to quickly test changes, execute complete build-to-launch cycle, or run custom packaging scripts with automatic Blender launch.
codereadr-automation
Automate Codereadr tasks via Rube MCP (Composio). Always search tools first for current schemas.
codeinterpreter-automation
Automate Codeinterpreter tasks via Rube MCP (Composio). Always search tools first for current schemas.
code-generation
Use when generating boilerplate code, __init__.py files, or test scaffolds. Provides scripts that generate consistent, convention-following code.
codacy-automation
Automate Codacy tasks via Rube MCP (Composio). Always search tools first for current schemas.