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cloudflare skill

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This skill helps you build and deploy at the edge on Cloudflare by guiding workers, pages, D1, R2, KV, and AI workflows.

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---
name: cloudflare
description: Build and deploy on Cloudflare's edge platform. Use when creating Workers, Pages, D1 databases, R2 storage, AI inference, or KV storage. Triggers on Cloudflare, Workers, Cloudflare Pages, D1, R2, KV, Cloudflare AI, Durable Objects, edge computing.
---

# Cloudflare Platform

Build globally distributed applications on Cloudflare's edge network.

## Quick Start

```bash
# Install Wrangler CLI
npm install -g wrangler

# Login
wrangler login

# Create new Worker
wrangler init my-worker

# Deploy
wrangler deploy
```

## Workers

### Basic Worker
```typescript
// src/index.ts
export default {
  async fetch(request: Request, env: Env, ctx: ExecutionContext): Promise<Response> {
    const url = new URL(request.url);
    
    if (url.pathname === '/api/hello') {
      return Response.json({ message: 'Hello from the edge!' });
    }
    
    return new Response('Not Found', { status: 404 });
  },
};
```

### wrangler.toml Configuration
```toml
name = "my-worker"
main = "src/index.ts"
compatibility_date = "2024-01-01"

[vars]
ENVIRONMENT = "production"

# KV Namespace
[[kv_namespaces]]
binding = "MY_KV"
id = "abc123"

# D1 Database
[[d1_databases]]
binding = "DB"
database_name = "my-database"
database_id = "def456"

# R2 Bucket
[[r2_buckets]]
binding = "BUCKET"
bucket_name = "my-bucket"

# AI
[ai]
binding = "AI"

# Durable Objects
[[durable_objects.bindings]]
name = "COUNTER"
class_name = "Counter"

[[migrations]]
tag = "v1"
new_classes = ["Counter"]
```

### Request Routing
```typescript
export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const url = new URL(request.url);
    const { pathname } = url;
    
    // Router pattern
    const routes: Record<string, () => Promise<Response>> = {
      '/api/users': () => handleUsers(request, env),
      '/api/posts': () => handlePosts(request, env),
    };
    
    const handler = routes[pathname];
    if (handler) {
      return handler();
    }
    
    // Wildcard matching
    if (pathname.startsWith('/api/users/')) {
      const userId = pathname.split('/')[3];
      return handleUser(userId, request, env);
    }
    
    return new Response('Not Found', { status: 404 });
  },
};
```

## KV Storage

```typescript
interface Env {
  MY_KV: KVNamespace;
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const url = new URL(request.url);
    
    // Set value
    await env.MY_KV.put('key', 'value', {
      expirationTtl: 3600, // 1 hour
      metadata: { created: Date.now() },
    });
    
    // Get value
    const value = await env.MY_KV.get('key');
    
    // Get with metadata
    const { value: data, metadata } = await env.MY_KV.getWithMetadata('key');
    
    // List keys
    const list = await env.MY_KV.list({ prefix: 'user:' });
    
    // Delete
    await env.MY_KV.delete('key');
    
    return Response.json({ value });
  },
};
```

## D1 Database (SQLite)

```typescript
interface Env {
  DB: D1Database;
}

// Create tables (run once via wrangler d1 execute)
// wrangler d1 execute my-database --file=./schema.sql

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    // Query
    const { results } = await env.DB.prepare(
      'SELECT * FROM users WHERE id = ?'
    ).bind(1).all();
    
    // Insert
    const { meta } = await env.DB.prepare(
      'INSERT INTO users (name, email) VALUES (?, ?)'
    ).bind('Alice', '[email protected]').run();
    
    // Batch operations
    const batch = await env.DB.batch([
      env.DB.prepare('INSERT INTO logs (action) VALUES (?)').bind('login'),
      env.DB.prepare('UPDATE users SET last_login = ? WHERE id = ?').bind(Date.now(), 1),
    ]);
    
    // First result only
    const user = await env.DB.prepare(
      'SELECT * FROM users WHERE email = ?'
    ).bind('[email protected]').first();
    
    return Response.json({ results, insertId: meta.last_row_id });
  },
};
```

### Schema Example
```sql
-- schema.sql
CREATE TABLE IF NOT EXISTS users (
  id INTEGER PRIMARY KEY AUTOINCREMENT,
  name TEXT NOT NULL,
  email TEXT UNIQUE NOT NULL,
  created_at DATETIME DEFAULT CURRENT_TIMESTAMP
);

CREATE TABLE IF NOT EXISTS posts (
  id INTEGER PRIMARY KEY AUTOINCREMENT,
  user_id INTEGER NOT NULL,
  title TEXT NOT NULL,
  content TEXT,
  FOREIGN KEY (user_id) REFERENCES users(id)
);
```

## R2 Object Storage

```typescript
interface Env {
  BUCKET: R2Bucket;
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const url = new URL(request.url);
    const key = url.pathname.slice(1);
    
    switch (request.method) {
      case 'PUT': {
        // Upload file
        const body = await request.arrayBuffer();
        await env.BUCKET.put(key, body, {
          httpMetadata: {
            contentType: request.headers.get('content-type') || 'application/octet-stream',
          },
          customMetadata: {
            uploadedBy: 'api',
          },
        });
        return new Response('Uploaded', { status: 201 });
      }
      
      case 'GET': {
        // Download file
        const object = await env.BUCKET.get(key);
        if (!object) {
          return new Response('Not Found', { status: 404 });
        }
        
        const headers = new Headers();
        object.writeHttpMetadata(headers);
        headers.set('etag', object.httpEtag);
        
        return new Response(object.body, { headers });
      }
      
      case 'DELETE': {
        await env.BUCKET.delete(key);
        return new Response('Deleted');
      }
      
      default:
        return new Response('Method Not Allowed', { status: 405 });
    }
  },
};

// List objects
async function listObjects(env: Env, prefix?: string) {
  const listed = await env.BUCKET.list({
    prefix,
    limit: 100,
  });
  return listed.objects.map(obj => ({
    key: obj.key,
    size: obj.size,
    uploaded: obj.uploaded,
  }));
}
```

## Cloudflare AI

```typescript
interface Env {
  AI: Ai;
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const { prompt } = await request.json();
    
    // Text generation (Llama, Mistral, etc.)
    const response = await env.AI.run('@cf/meta/llama-3-8b-instruct', {
      messages: [
        { role: 'system', content: 'You are a helpful assistant.' },
        { role: 'user', content: prompt },
      ],
      max_tokens: 1024,
    });
    
    return Response.json(response);
  },
};

// Image generation
async function generateImage(env: Env, prompt: string) {
  const response = await env.AI.run('@cf/stabilityai/stable-diffusion-xl-base-1.0', {
    prompt,
    num_steps: 20,
  });
  
  return new Response(response, {
    headers: { 'content-type': 'image/png' },
  });
}

// Text embeddings
async function getEmbeddings(env: Env, text: string) {
  const response = await env.AI.run('@cf/baai/bge-base-en-v1.5', {
    text: [text],
  });
  return response.data[0]; // Float32Array
}

// Image classification
async function classifyImage(env: Env, imageData: ArrayBuffer) {
  const response = await env.AI.run('@cf/microsoft/resnet-50', {
    image: [...new Uint8Array(imageData)],
  });
  return response;
}

// Speech to text
async function transcribe(env: Env, audioData: ArrayBuffer) {
  const response = await env.AI.run('@cf/openai/whisper', {
    audio: [...new Uint8Array(audioData)],
  });
  return response.text;
}
```

## Durable Objects

```typescript
// Durable Object class
export class Counter {
  state: DurableObjectState;
  
  constructor(state: DurableObjectState) {
    this.state = state;
  }
  
  async fetch(request: Request): Promise<Response> {
    const url = new URL(request.url);
    
    let value = (await this.state.storage.get<number>('count')) || 0;
    
    switch (url.pathname) {
      case '/increment':
        value++;
        await this.state.storage.put('count', value);
        break;
      case '/decrement':
        value--;
        await this.state.storage.put('count', value);
        break;
    }
    
    return Response.json({ count: value });
  }
}

// Worker using Durable Object
interface Env {
  COUNTER: DurableObjectNamespace;
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    // Get unique ID for this counter (e.g., per user)
    const counterId = env.COUNTER.idFromName('global-counter');
    const counter = env.COUNTER.get(counterId);
    
    // Forward request to Durable Object
    return counter.fetch(request);
  },
};
```

## Cloudflare Pages

### pages.toml (Functions Config)
```toml
[build]
command = "npm run build"
output_directory = "dist"

[[redirects]]
from = "/old-page"
to = "/new-page"
status = 301

[[headers]]
for = "/api/*"
[headers.values]
Access-Control-Allow-Origin = "*"
```

### Pages Functions
```typescript
// functions/api/hello.ts
export const onRequestGet: PagesFunction = async (context) => {
  return Response.json({ message: 'Hello!' });
};

export const onRequestPost: PagesFunction<Env> = async (context) => {
  const body = await context.request.json();
  
  // Access bindings
  await context.env.KV.put('key', JSON.stringify(body));
  
  return Response.json({ success: true });
};

// functions/api/users/[id].ts
export const onRequestGet: PagesFunction = async (context) => {
  const userId = context.params.id;
  return Response.json({ userId });
};

// Middleware: functions/_middleware.ts
export const onRequest: PagesFunction = async (context) => {
  // Auth check
  const auth = context.request.headers.get('Authorization');
  if (!auth) {
    return new Response('Unauthorized', { status: 401 });
  }
  
  // Continue to next handler
  return context.next();
};
```

## Queues

```typescript
// Producer
interface Env {
  MY_QUEUE: Queue;
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    // Send message to queue
    await env.MY_QUEUE.send({
      type: 'email',
      to: '[email protected]',
      subject: 'Welcome!',
    });
    
    // Batch send
    await env.MY_QUEUE.sendBatch([
      { body: { task: 'process', id: 1 } },
      { body: { task: 'process', id: 2 } },
    ]);
    
    return Response.json({ queued: true });
  },
};

// Consumer
export default {
  async queue(batch: MessageBatch<any>, env: Env): Promise<void> {
    for (const message of batch.messages) {
      try {
        await processMessage(message.body);
        message.ack();
      } catch (error) {
        message.retry();
      }
    }
  },
};
```

## Cron Triggers

```toml
# wrangler.toml
[triggers]
crons = ["0 0 * * *", "*/15 * * * *"]  # Daily at midnight, every 15 min
```

```typescript
export default {
  async scheduled(event: ScheduledEvent, env: Env, ctx: ExecutionContext): Promise<void> {
    switch (event.cron) {
      case '0 0 * * *':
        await dailyCleanup(env);
        break;
      case '*/15 * * * *':
        await checkHealthStatus(env);
        break;
    }
  },
};
```

## WebSockets

```typescript
export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const upgradeHeader = request.headers.get('Upgrade');
    
    if (upgradeHeader === 'websocket') {
      const [client, server] = Object.values(new WebSocketPair());
      
      server.accept();
      server.addEventListener('message', (event) => {
        server.send(`Echo: ${event.data}`);
      });
      
      return new Response(null, {
        status: 101,
        webSocket: client,
      });
    }
    
    return new Response('Expected WebSocket', { status: 400 });
  },
};
```

## Resources

- **Workers Docs**: https://developers.cloudflare.com/workers/
- **D1 Docs**: https://developers.cloudflare.com/d1/
- **R2 Docs**: https://developers.cloudflare.com/r2/
- **Pages Docs**: https://developers.cloudflare.com/pages/
- **AI Docs**: https://developers.cloudflare.com/workers-ai/
- **Wrangler CLI**: https://developers.cloudflare.com/workers/wrangler/

Overview

This skill helps you build and deploy applications on Cloudflare’s edge platform. It covers Workers, Pages, D1 (SQLite), R2 object storage, KV, Durable Objects, Cloudflare AI, queues, cron triggers, and WebSockets. Use it to wire bindings, route requests, and run edge logic with Wrangler deployments.

How this skill works

The skill provides concrete patterns and code snippets for common edge tasks: request routing inside Workers, KV CRUD, D1 SQL queries and batching, R2 upload/download semantics, and Durable Object state handling. It also shows Pages functions, queue producers/consumers, cron scheduled jobs, WebSocket upgrades, and Cloudflare AI calls for text, images, embeddings, and speech. All examples assume Wrangler configuration and standard Env bindings.

When to use it

  • Deploy serverless HTTP APIs at the edge with low latency
  • Store small key/value data or metadata using KV
  • Run relational queries and migrations with D1 (SQLite)
  • Store and serve large objects using R2 buckets
  • Add stateful counters or per-actor logic with Durable Objects
  • Integrate inference, embeddings, or generation using Cloudflare AI

Best practices

  • Define Env interfaces and declare all bindings in wrangler.toml for clarity
  • Use routing patterns and wildcard paths to keep fetch handlers simple
  • Prefer KV for ephemeral or read-heavy data and D1 for relational needs and complex queries
  • Set sensible TTLs and metadata on KV entries to control costs
  • Use Durable Objects for serialized state and R2 for binary blobs to avoid database bloat
  • Add cron triggers and queue processing for background tasks and retryable work

Example use cases

  • Global REST API with read-through caching in KV and persistent writes to D1
  • File upload service: PUT/GET/DELETE on R2 with content-type and custom metadata
  • Per-user counters or locks implemented with Durable Objects
  • Static site on Pages with server-side functions that access KV and D1
  • AI-powered endpoints: text generation, image generation, and embeddings via Cloudflare AI

FAQ

How do I configure bindings for KV, D1, R2, and Durable Objects?

Declare each binding in wrangler.toml under the appropriate section (kv_namespaces, d1_databases, r2_buckets, durable_objects.bindings) and match the binding names in your Env interface.

When should I use KV vs D1?

Use KV for simple key/value lookups, caching, and metadata with global low-latency reads. Use D1 for relational data, complex queries, transactions, and schema migrations.