Cloudflare Deployment Skill

When to Activate

Activate this skill when:

• Setting up Cloudflare Workers or Pages
• Working with KV, R2, or D1 storage
• Deploying applications to Cloudflare
• Configuring wrangler.toml
• Managing Cloudflare resources

Quick Commands

# Install wrangler
pnpm add -g wrangler

# Login
wrangler login

# Initialize new Worker
wrangler init my-worker

# Local development
wrangler dev

# Deploy to Cloudflare
wrangler deploy

# View logs
wrangler tail my-worker

Service Overview

Service	Purpose	Use Case
Workers	Serverless functions	API endpoints, middleware
Pages	Static sites + functions	SvelteKit, Next.js
KV	Key-value storage	Caching, session data
R2	Object storage	Files, images, backups
D1	SQLite database	Structured data

Workers Setup

wrangler init my-worker --type javascript
cd my-worker
wrangler dev
wrangler deploy

Basic Worker

export default {
  async fetch(request, env) {
    const url = new URL(request.url);

    if (url.pathname === '/api/hello') {
      return new Response(JSON.stringify({ message: 'Hello!' }), {
        headers: { 'Content-Type': 'application/json' }
      });
    }

    return new Response('Not found', { status: 404 });
  }
}

KV Storage

# Create namespace
wrangler kv namespace create MY_KV

# Add to wrangler.toml
# kv_namespaces = [{ binding = "MY_KV", id = "abc123" }]

// In Worker
export default {
  async fetch(request, env) {
    // Write
    await env.MY_KV.put("key", "value");

    // Read
    const value = await env.MY_KV.get("key");

    return new Response(value);
  }
}

R2 Storage

wrangler r2 bucket create my-bucket
# Add: r2_buckets = [{ binding = "MY_BUCKET", bucket_name = "my-bucket" }]

// In Worker
await env.MY_BUCKET.put("file.txt", "content");
const object = await env.MY_BUCKET.get("file.txt");
const text = await object.text();

D1 Database

wrangler d1 create my-database
wrangler d1 execute my-database --command="CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT)"
# Add: d1_databases = [{ binding = "DB", database_name = "my-database", database_id = "..." }]

// In Worker
const { results } = await env.DB.prepare(
  "SELECT * FROM users WHERE id = ?"
).bind(1).all();

return Response.json(results);

Pages Deployment

# Deploy static site
wrangler pages deploy ./build --project-name=my-site

# With SvelteKit
pnpm add -D @sveltejs/adapter-cloudflare
pnpm build
wrangler pages deploy .svelte-kit/cloudflare

wrangler.toml Configuration

name = "my-worker"
main = "src/index.js"
compatibility_date = "2024-01-01"

# Automatic resource provisioning (v4.45.0+)
kv_namespaces = [{ binding = "MY_KV" }]
r2_buckets = [{ binding = "MY_BUCKET" }]
d1_databases = [{ binding = "DB" }]

Development Modes

# Local (simulated resources)
wrangler dev

# Remote (real Cloudflare resources)
wrangler dev --remote

Worker Secrets

# Set secret
wrangler secret put API_KEY --name my-worker

# Access in code
const apiKey = env.API_KEY;

Best Practices

DO ✅

• Use

  wrangler dev

  for local testing first
• Use environment-specific configs
• Monitor logs with

  wrangler tail

• Use automatic resource provisioning

DON'T ❌

• Hardcode account IDs
• Skip local testing
• Commit wrangler.toml with production IDs
• Ignore rate limits

Common Patterns

KV + R2 Caching

export default {
  async fetch(request, env) {
    const url = new URL(request.url);
    const cacheKey = url.pathname;

    // Check KV cache
    let content = await env.MY_KV.get(cacheKey);
    if (content) return new Response(content);

    // Fetch from R2
    const object = await env.MY_BUCKET.get(cacheKey.slice(1));
    if (!object) return new Response("Not found", { status: 404 });

    content = await object.text();

    // Cache in KV
    await env.MY_KV.put(cacheKey, content, { expirationTtl: 3600 });

    return new Response(content);
  }
}

Related Resources

See

AgentUsage/cloudflare_guide.md

for complete documentation including:

• MCP server configuration
• Advanced D1 patterns
• Production deployment strategies
• Troubleshooting guide