jackspace/claudeskillz/cloudflare-full-stack-scaffold

# Copy the scaffold
cp -r scaffold/ my-new-app/
cd my-new-app/
 
# Install dependencies
npm install
 
# Initialize core services (D1, KV, R2)
./scripts/init-services.sh
 
# Create database tables
npm run d1:local
 
# Start developing
npm run dev

scaffold/
├── package.json              # All dependencies (React, Hono, AI SDK, Clerk)
├── tsconfig.json            # TypeScript config
├── vite.config.ts           # Cloudflare Vite plugin
├── wrangler.jsonc           # All Cloudflare services configured
├── .dev.vars.example        # Environment variables template
├── .gitignore               # Standard ignores
├── README.md                # Project-specific readme
├── CLAUDE.md                # Project instructions for Claude
├── SCRATCHPAD.md            # Session handoff protocol
├── CHANGELOG.md             # Version history
├── schema.sql               # D1 database schema
│
├── docs/                    # Complete planning docs
│   ├── ARCHITECTURE.md
│   ├── DATABASE_SCHEMA.md
│   ├── API_ENDPOINTS.md
│   ├── IMPLEMENTATION_PHASES.md
│   ├── UI_COMPONENTS.md
│   └── TESTING.md
│
├── migrations/              # D1 migrations
│   └── 0001_initial.sql
│
├── src/                     # Frontend (React + Vite + Tailwind v4)
│   ├── main.tsx
│   ├── App.tsx
│   ├── index.css           # Tailwind v4 theming
│   ├── components/
│   │   ├── ui/             # shadcn/ui components
│   │   ├── ThemeProvider.tsx
│   │   ├── ProtectedRoute.tsx     # Auth (COMMENTED)
│   │   └── ChatInterface.tsx      # AI chat (COMMENTED)
│   ├── lib/
│   │   ├── utils.ts        # cn() utility
│   │   └── api-client.ts   # Fetch wrapper
│   └── pages/
│       ├── Home.tsx
│       ├── Dashboard.tsx
│       └── Chat.tsx        # AI chat page (COMMENTED)
│
└── backend/                 # Backend (Hono + Cloudflare)
    ├── src/
    │   └── index.ts        # Main Worker entry
    ├── middleware/
    │   ├── cors.ts
    │   └── auth.ts         # JWT (COMMENTED)
    ├── routes/
    │   ├── api.ts          # Basic API routes
    │   ├── d1.ts           # D1 examples
    │   ├── kv.ts           # KV examples
    │   ├── r2.ts           # R2 examples
    │   ├── ai.ts           # Workers AI (direct binding)
    │   ├── ai-sdk.ts       # AI SDK examples (multiple providers)
    │   ├── vectorize.ts    # Vectorize examples
    │   └── queues.ts       # Queues examples
    └── db/
        └── queries.ts      # D1 typed query helpers

// Already works, no API key needed
const result = await c.env.AI.run('@cf/meta/llama-3-8b-instruct', {
  messages: [{ role: 'user', content: 'Hello' }]
})

import { streamText } from 'ai'
import { createWorkersAI } from 'workers-ai-provider'
const workersai = createWorkersAI({ binding: c.env.AI })
const result = await streamText({
  model: workersai('@cf/meta/llama-3-8b-instruct'),
  messages: [{ role: 'user', content: 'Hello' }]
})

import { openai } from '@ai-sdk/openai'
import { anthropic } from '@ai-sdk/anthropic'
// Switch providers in 1 line
const result = await streamText({
  model: openai('gpt-4o'),  // or anthropic('claude-sonnet-4-5')
  messages: [{ role: 'user', content: 'Hello' }]
})

import { useChat } from '@ai-sdk/react'
import { DefaultChatTransport } from 'ai'
import { useState } from 'react'
function ChatInterface() {
  const [input, setInput] = useState('')
  const { messages, sendMessage, status } = useChat({
    transport: new DefaultChatTransport({
      api: '/api/ai-sdk/chat',
    }),
  })
  // Send message on Enter key
  const handleKeyDown = (e) => {
    if (e.key === 'Enter' && status === 'ready' && input.trim()) {
      sendMessage({ text: input })
      setInput('')
    }
  }
  // Render messages (v5 uses message.parts[])
  return (
    <div>
      {messages.map(m => (
        <div key={m.id}>
          {m.parts.map(part => {
            if (part.type === 'text') return <div>{part.text}</div>
          })}
        </div>
      ))}
      <input
        value={input}
        onChange={e => setInput(e.target.value)}
        onKeyDown={handleKeyDown}
        disabled={status !== 'ready'}
      />
    </div>
  )
}

import { useForm } from 'react-hook-form'
import { zodResolver } from '@hookform/resolvers/zod'
const form = useForm({
  resolver: zodResolver(userSchema), // Zod validation
})
<input {...register('name')} />
{errors.name && <span>{errors.name.message}</span>}

// Define schema once
const userSchema = z.object({
  name: z.string().min(2),
  email: z.string().email(),
  age: z.number().int().positive().optional(),
})
// Infer TypeScript type
type User = z.infer<typeof userSchema>
// Use in frontend (React Hook Form)
resolver: zodResolver(userSchema)
// Use in backend (same schema!)
const validated = userSchema.parse(requestBody)

// Fetch data with automatic caching
const { data, isLoading } = useQuery({
  queryKey: ['users'],
  queryFn: () => apiClient.get('/api/users'),
})
// Update data with mutations
const mutation = useMutation({
  mutationFn: (newUser) => apiClient.post('/api/users', newUser),
  onSuccess: () => {
    queryClient.invalidateQueries({ queryKey: ['users'] })
  },
})

./scripts/enable-auth.sh
# Prompts for Clerk keys, uncomments all patterns

# 1. Copy scaffold
cd /path/to/skills/cloudflare-full-stack-scaffold
cp -r scaffold/ ~/projects/my-new-app/
cd ~/projects/my-new-app/
 
# 2. Run setup
npm install
 
# 3. Initialize Cloudflare services
npx wrangler d1 create my-app-db
npx wrangler kv:namespace create my-app-kv
npx wrangler r2 bucket create my-app-bucket
npx wrangler vectorize create my-app-index --dimensions=1536
npx wrangler queues create my-app-queue
 
# 4. Update wrangler.jsonc with IDs from step 3
 
# 5. Create D1 tables
npx wrangler d1 execute my-app-db --local --file=schema.sql
 
# 6. Start dev server
npm run dev