Generated banner for Cloudflare Deploy
Generated logo for Cloudflare Deploy

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/gotchas.md

Smart Placement Gotchas

Common Errors

"INSUFFICIENT_INVOCATIONS"

Cause: Not enough traffic for Smart Placement to analyze Solution:

  • Ensure Worker receives consistent global traffic

  • Wait longer (analysis takes up to 15 minutes)

  • Send test traffic from multiple global locations

  • Check Worker has fetch event handler

"UNSUPPORTED_APPLICATION"

Cause: Smart Placement made Worker slower rather than faster Reasons:

  • Worker doesn't make backend calls (runs faster at edge)

  • Backend calls are cached (network latency to user more important)

  • Backend service has good global distribution

  • Worker serves static assets or Pages content

Solutions:

  • Disable Smart Placement: { "placement": { "mode": "off" } }

  • Review whether Worker actually benefits from Smart Placement

  • Consider caching strategy to reduce backend calls

  • For Pages/Assets Workers, use separate backend Worker with Smart Placement

"No request duration metrics"

Cause: Smart Placement not enabled, insufficient time passed, insufficient traffic, or analysis incomplete Solution:

  • Ensure Smart Placement enabled in config

  • Wait 15+ minutes after deployment

  • Verify Worker has sufficient traffic

  • Check placement_status is SUCCESS

"cf-placement header missing"

Cause: Smart Placement not enabled, beta feature removed, or Worker not analyzed yet Solution: Verify Smart Placement enabled, wait for analysis (15min), check if beta feature still available

Pages/Assets + Smart Placement Performance Degradation

Problem: Static assets load 2-5x slower when Smart Placement enabled with run_worker_first = true.

Cause: Smart Placement routes ALL requests (including static assets like HTML, CSS, JS, images) to remote locations. Static content should ALWAYS be served from edge closest to user.

Solution: Split into separate Workers OR disable Smart Placement:

// ❌ BAD - Assets routed away from user
{
  "name": "pages-app",
  "placement": { "mode": "smart" },
  "assets": { "run_worker_first": true }
}

// ✅ GOOD - Assets at edge, API optimized
// frontend/wrangler.jsonc
{
  "name": "frontend",
  "assets": { "run_worker_first": true }
  // No placement field - stays at edge
}

// backend/wrangler.jsonc
{
  "name": "backend-api",
  "placement": { "mode": "smart" }
}

This is one of the most common and impactful Smart Placement misconfigurations.

Monolithic Full-Stack Worker

Problem: Frontend and backend logic in single Worker with Smart Placement enabled.

Cause: Smart Placement optimizes for backend latency but increases user-facing response time.

Solution: Split into two Workers:

// frontend/wrangler.jsonc
{
  "name": "frontend",
  "placement": { "mode": "off" },  // Explicit: stay at edge
  "services": [{ "binding": "BACKEND", "service": "backend-api" }]
}

// backend/wrangler.jsonc
{
  "name": "backend-api",
  "placement": { "mode": "smart" },
  "d1_databases": [{ "binding": "DB", "database_id": "xxx" }]
}

Local Development Confusion

Issue: Smart Placement doesn't work in wrangler dev.

Explanation: Smart Placement only activates in production deployments, not local development.

Solution: Test Smart Placement in staging environment: wrangler deploy --env staging

Baseline Traffic & Analysis Time

Note: Smart Placement routes 1% of requests WITHOUT optimization for comparison (expected).

Analysis time: Up to 15 minutes. During analysis, Worker runs at edge. Monitor placement_status.

RPC Methods Not Affected (Critical Limitation)

Problem: Enabled Smart Placement on backend but RPC calls still slow.

Cause: Smart Placement ONLY affects fetch handlers. RPC methods (Service Bindings with WorkerEntrypoint) are NEVER affected.

Why: RPC bypasses fetch handler - Smart Placement can only route fetch requests.

Solution: Convert to fetch-based Service Bindings:

// ❌ RPC - Smart Placement has NO EFFECT
export class BackendRPC extends WorkerEntrypoint {
  async getData() {
    // ALWAYS runs at edge
    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);
  }
}

Requirements

  • Wrangler 2.20.0+ required

  • Consistent multi-region traffic needed for analysis

  • Only affects fetch handlers - RPC methods and named entrypoints not affected

Limits

Resource/LimitValueNotes
Analysis timeUp to 15 minutesAfter enabling
Baseline traffic1%Routed without optimization
Min Wrangler version2.20.0+Required
Traffic requirementMulti-regionConsistent needed

Disabling Smart Placement

{ "placement": { "mode": "off" } }  // Explicit disable
// OR remove "placement" field entirely (same effect)

Both behaviors identical - Worker runs at edge closest to user.

When NOT to Use Smart Placement

  • Workers serving only static content or cached responses

  • Workers without significant backend communication

  • Pure edge logic (auth checks, redirects, simple transformations)

  • Workers without fetch event handlers

  • Pages/Assets Workers with run_worker_first = true

  • Workers using RPC methods instead of fetch handlers

These scenarios won't benefit and may perform worse with Smart Placement.

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.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download cloudflare-deploy.zip