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Cloudflare Deploy

OpenAIOfficialPublished by OpenAI

  • Skill
  • Tool integration
  • Cloud and DevOps
  • Apache-2.0
  • Medium risk

From the author

Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.
— the description by OpenAI

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Cloudflare Deploy provides a centralized framework for developers to build, host, and manage projects on Cloudflare. It covers the entire ecosystem, including serverless compute (Workers), full-stack web hosting (Pages), persistent storage (D1, R2, KV), and AI-powered agent development. The skill includes decision trees to help select the right product for specific needs, authentication guidance, and troubleshooting steps for deployment issues.

What it does

  • Provides decision trees to select the appropriate Cloudflare product for compute, storage, AI, or networking.
  • Offers guidance on authenticating with the Cloudflare platform via CLI or CI/CD.
  • Includes a comprehensive product index for quick reference to documentation.
  • Provides specific patterns and API references for building stateful AI agents using the Agents SDK.
  • Offers troubleshooting steps for network-related deployment failures.
  • Supports infrastructure-as-code integration with tools like Pulumi and Terraform.

When to use it

  • When you need to deploy, host, or publish a project to Cloudflare.
  • When you are unsure which Cloudflare service (e.g., Workers vs. Pages) best fits your application requirements.
  • When you need to build stateful, globally distributed AI agents.
  • When you encounter network errors or timeouts during the deployment process.
  • When setting up persistent storage or database solutions within the Cloudflare ecosystem.

Advantages

  • Consolidates fragmented documentation into a single, navigable resource.
  • Simplifies product selection through clear, use-case-driven decision trees.
  • Provides actionable code patterns for complex tasks like AI agent development.
  • Addresses common deployment friction points like authentication and network sandboxing.

Usage examples

“I need to deploy a full-stack web application to Cloudflare. Which service should I use?”
The agent will guide you to use Cloudflare Pages for full-stack web apps with Git-based deployments.
“How do I build an AI chat agent on Cloudflare?”
The agent will provide the Agents SDK reference, including the AIChatAgent class and examples for streaming responses and managing message history.
“My deployment is failing with a network timeout error. What should I do?”
The agent will advise you to rerun the deployment command with the sandbox_permissions=require_escalated flag to bypass network restrictions.
“How do I store relational data for my worker?”
The agent will recommend using D1 for SQLite-based relational storage or Hyperdrive for connecting to existing Postgres/MySQL databases.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/openai/cloudflare-deploy/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip cloudflare-deploy.zip -d .agents/skills

Documentation by OpenAI

Cloudflare Deploy

Consolidated skill for building on the Cloudflare platform. Use decision trees below to find the right product, then load detailed references.

Prerequisites

  • When sandboxing blocks the deployment network calls, rerun with sandbox_permissions=require_escalated.

  • The deployment might take a few minutes. Use appropriate timeout values.

Authentication (Required Before Deploy)

Verify auth before wrangler deploy, wrangler pages deploy, or npm run deploy:

npx wrangler whoami    # Shows account if authenticated

Not authenticated? → references/wrangler/auth.md

  • Interactive/local: wrangler login (one-time OAuth)

  • CI/CD: Set CLOUDFLARE_API_TOKEN env var

Quick Decision Trees

"I need to run code"
Need to run code?
├─ Serverless functions at the edge → workers/
├─ Full-stack web app with Git deploys → pages/
├─ Stateful coordination/real-time → durable-objects/
├─ Long-running multi-step jobs → workflows/
├─ Run containers → containers/
├─ Multi-tenant (customers deploy code) → workers-for-platforms/
├─ Scheduled tasks (cron) → cron-triggers/
├─ Lightweight edge logic (modify HTTP) → snippets/
├─ Process Worker execution events (logs/observability) → tail-workers/
└─ Optimize latency to backend infrastructure → smart-placement/
"I need to store data"
Need storage?
├─ Key-value (config, sessions, cache) → kv/
├─ Relational SQL → d1/ (SQLite) or hyperdrive/ (existing Postgres/MySQL)
├─ Object/file storage (S3-compatible) → r2/
├─ Message queue (async processing) → queues/
├─ Vector embeddings (AI/semantic search) → vectorize/
├─ Strongly-consistent per-entity state → durable-objects/ (DO storage)
├─ Secrets management → secrets-store/
├─ Streaming ETL to R2 → pipelines/
└─ Persistent cache (long-term retention) → cache-reserve/
"I need AI/ML"
Need AI?
├─ Run inference (LLMs, embeddings, images) → workers-ai/
├─ Vector database for RAG/search → vectorize/
├─ Build stateful AI agents → agents-sdk/
├─ Gateway for any AI provider (caching, routing) → ai-gateway/
└─ AI-powered search widget → ai-search/
"I need networking/connectivity"
Need networking?
├─ Expose local service to internet → tunnel/
├─ TCP/UDP proxy (non-HTTP) → spectrum/
├─ WebRTC TURN server → turn/
├─ Private network connectivity → network-interconnect/
├─ Optimize routing → argo-smart-routing/
├─ Optimize latency to backend (not user) → smart-placement/
└─ Real-time video/audio → realtimekit/ or realtime-sfu/
"I need security"
Need security?
├─ Web Application Firewall → waf/
├─ DDoS protection → ddos/
├─ Bot detection/management → bot-management/
├─ API protection → api-shield/
├─ CAPTCHA alternative → turnstile/
└─ Credential leak detection → waf/ (managed ruleset)
"I need media/content"
Need media?
├─ Image optimization/transformation → images/
├─ Video streaming/encoding → stream/
├─ Browser automation/screenshots → browser-rendering/
└─ Third-party script management → zaraz/
"I need infrastructure-as-code"
Need IaC? → pulumi/ (Pulumi), terraform/ (Terraform), or api/ (REST API)

Product Index

Compute & Runtime
ProductReference
Workersreferences/workers/
Pagesreferences/pages/
Pages Functionsreferences/pages-functions/
Durable Objectsreferences/durable-objects/
Workflowsreferences/workflows/
Containersreferences/containers/
Workers for Platformsreferences/workers-for-platforms/
Cron Triggersreferences/cron-triggers/
Tail Workersreferences/tail-workers/
Snippetsreferences/snippets/
Smart Placementreferences/smart-placement/
Storage & Data
ProductReference
KVreferences/kv/
D1references/d1/
R2references/r2/
Queuesreferences/queues/
Hyperdrivereferences/hyperdrive/
DO Storagereferences/do-storage/
Secrets Storereferences/secrets-store/
Pipelinesreferences/pipelines/
R2 Data Catalogreferences/r2-data-catalog/
R2 SQLreferences/r2-sql/
AI & Machine Learning
ProductReference
Workers AIreferences/workers-ai/
Vectorizereferences/vectorize/
Agents SDKreferences/agents-sdk/
AI Gatewayreferences/ai-gateway/
AI Searchreferences/ai-search/
Networking & Connectivity
ProductReference
Tunnelreferences/tunnel/
Spectrumreferences/spectrum/
TURNreferences/turn/
Network Interconnectreferences/network-interconnect/
Argo Smart Routingreferences/argo-smart-routing/
Workers VPCreferences/workers-vpc/
Security
ProductReference
WAFreferences/waf/
DDoS Protectionreferences/ddos/
Bot Managementreferences/bot-management/
API Shieldreferences/api-shield/
Turnstilereferences/turnstile/
Media & Content
ProductReference
Imagesreferences/images/
Streamreferences/stream/
Browser Renderingreferences/browser-rendering/
Zarazreferences/zaraz/
Real-Time Communication
ProductReference
RealtimeKitreferences/realtimekit/
Realtime SFUreferences/realtime-sfu/
Developer Tools
ProductReference
Wranglerreferences/wrangler/
Miniflarereferences/miniflare/
C3references/c3/
Observabilityreferences/observability/
Analytics Enginereferences/analytics-engine/
Web Analyticsreferences/web-analytics/
Sandboxreferences/sandbox/
Workerdreferences/workerd/
Workers Playgroundreferences/workers-playground/
Infrastructure as Code
ProductReference
Pulumireferences/pulumi/
Terraformreferences/terraform/
APIreferences/api/
Other Services
ProductReference
Email Routingreferences/email-routing/
Email Workersreferences/email-workers/
Static Assetsreferences/static-assets/
Bindingsreferences/bindings/
Cache Reservereferences/cache-reserve/

Troubleshooting

Escalated Network Access

If deployment fails due to network issues (timeouts, DNS errors, connection resets), rerun the deploy with escalated permissions (use sandbox_permissions=require_escalated). The deploy requires escalated network access when sandbox networking blocks outbound requests.

Example guidance to the user:

The deploy needs escalated network access to deploy to Cloudflare. I can rerun the command with escalated permissions—want me to proceed?

Files

references/smart-placement/patterns.md

Smart Placement Patterns

Backend Worker with Database Access

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const user = await env.DATABASE.prepare('SELECT * FROM users WHERE id = ?').bind(userId).first();
    const orders = await env.DATABASE.prepare('SELECT * FROM orders WHERE user_id = ?').bind(userId).all();
    return Response.json({ user, orders });
  }
};
{ "placement": { "mode": "smart" }, "d1_databases": [{ "binding": "DATABASE", "database_id": "xxx" }] }

Frontend + Backend Split (Service Bindings)

Frontend: Runs at edge for fast user response Backend: Smart Placement runs close to database

// Frontend Worker - routes requests to backend
interface Env {
  BACKEND: Fetcher;  // Service Binding to backend Worker
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    if (new URL(request.url).pathname.startsWith('/api/')) {
      return env.BACKEND.fetch(request);  // Forward to backend
    }
    return new Response('Frontend content');
  }
};

// Backend Worker - database operations
interface BackendEnv {
  DATABASE: D1Database;
}

export default {
  async fetch(request: Request, env: BackendEnv): Promise<Response> {
    const data = await env.DATABASE.prepare('SELECT * FROM table').all();
    return Response.json(data);
  }
};

CRITICAL: Use fetch-based Service Bindings (shown above). If using RPC with WorkerEntrypoint, Smart Placement will NOT optimize those method calls - only fetch handlers are affected.

RPC vs Fetch - CRITICAL: Smart Placement ONLY works with fetch-based bindings, NOT RPC.

// ❌ RPC - Smart Placement has NO EFFECT on backend RPC methods
export class BackendRPC extends WorkerEntrypoint {
  async getData() {
    // ALWAYS runs at edge, Smart Placement ignored
    return await this.env.DATABASE.prepare('SELECT * FROM table').all();
  }
}

// ✅ Fetch - Smart Placement WORKS
export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    // Runs close to DATABASE when Smart Placement enabled
    const data = await env.DATABASE.prepare('SELECT * FROM table').all();
    return Response.json(data);
  }
};

External API Integration

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const apiUrl = 'https://api.partner.com';
    const headers = { 'Authorization': `Bearer ${env.API_KEY}` };
    
    const [profile, transactions] = await Promise.all([
      fetch(`${apiUrl}/profile`, { headers }),
      fetch(`${apiUrl}/transactions`, { headers })
    ]);
    
    return Response.json({ 
      profile: await profile.json(), 
      transactions: await transactions.json()
    });
  }
};

SSR / API Gateway Pattern

// Frontend (edge) - auth/routing close to user
export default {
  async fetch(request: Request, env: Env) {
    if (!request.headers.get('Authorization')) {
      return new Response('Unauthorized', { status: 401 });
    }
    const data = await env.BACKEND.fetch(request);
    return new Response(renderPage(await data.json()), { 
      headers: { 'Content-Type': 'text/html' } 
    });
  }
};

// Backend (Smart Placement) - DB operations close to data
export default {
  async fetch(request: Request, env: Env) {
    const data = await env.DATABASE.prepare('SELECT * FROM pages WHERE id = ?').bind(pageId).first();
    return Response.json(data);
  }
};

Durable Objects with Smart Placement

Key principle: Smart Placement does NOT control WHERE Durable Objects run. DOs always run in their designated region (based on jurisdiction or smart location hints).

What Smart Placement DOES affect: The location of the coordinator Worker's fetch handler that makes calls to multiple DOs.

Pattern: Enable Smart Placement on coordinator Worker that aggregates data from multiple DOs:

// Worker with Smart Placement - aggregates data from multiple DOs
export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const userId = new URL(request.url).searchParams.get('user');
    
    // Get DO stubs
    const userDO = env.USER_DO.get(env.USER_DO.idFromName(userId));
    const analyticsID = env.ANALYTICS_DO.idFromName(`analytics-${userId}`);
    const analyticsDO = env.ANALYTICS_DO.get(analyticsID);
    
    // Fetch from multiple DOs
    const [userData, analyticsData] = await Promise.all([
      userDO.fetch(new Request('https://do/profile')),
      analyticsDO.fetch(new Request('https://do/stats'))
    ]);
    
    return Response.json({
      user: await userData.json(),
      analytics: await analyticsData.json()
    });
  }
};
// wrangler.jsonc
{
  "placement": { "mode": "smart" },
  "durable_objects": {
    "bindings": [
      { "name": "USER_DO", "class_name": "UserDO" },
      { "name": "ANALYTICS_DO", "class_name": "AnalyticsDO" }
    ]
  }
}

When this helps:

  • Worker's fetch handler runs closer to DO regions, reducing network latency for multiple DO calls

  • Most beneficial when DOs are geographically concentrated or in specific jurisdictions

  • Helps when coordinator makes many sequential or parallel DO calls

When this DOESN'T help:

  • DOs are globally distributed (no single optimal Worker location)

  • Worker only calls a single DO

  • DO calls are infrequent or cached

Best Practices

  • Split full-stack apps: frontend at edge, backend with Smart Placement

  • Use fetch-based Service Bindings (not RPC)

  • Enable for backend logic: APIs, data aggregation, DB operations

  • Don't enable for: static content, edge logic, RPC methods, Pages with run_worker_first

  • Wait 15+ min for analysis, verify placement_status = SUCCESS

Requirements and compatibility

Written for: OpenAI Codex

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Node.js

Security

What our scanner noticed· Medium risk

  • Possible data-exfiltration endpoints
  • Instructions that use the network
  • Downloads piped into a shell

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
OpenAI
Publisher
OpenAI (Official)
Source
openai/skills · skills/.curated/cloudflare-deploy · commit 49f948f
Licence
Apache License 2.0 (redistribution allowed)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by OpenAI or OpenAI.

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