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Cloudflare Deploy

JetBrainsOfficialCreated by OpenAIDistributed by JetBrains

  • 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

The Cloudflare Deploy skill serves as a centralized hub for developers working within the Cloudflare ecosystem. It provides structured decision trees to help users select the appropriate Cloudflare product—ranging from compute and storage to AI and security—and offers guidance on authentication, deployment, and troubleshooting. The skill includes specific references for building stateful, distributed AI agents using the Cloudflare Agents SDK, covering lifecycle hooks, state management, and SQL integration.

What it does

  • Provides decision trees to select the right Cloudflare product for compute, storage, AI, or networking needs.
  • Offers guidance on authentication using Wrangler for local and CI/CD environments.
  • Includes detailed documentation for building stateful AI agents with the Cloudflare Agents SDK.
  • Supports infrastructure-as-code integration via Pulumi and Terraform.
  • Provides troubleshooting steps for network-related deployment failures.
  • Maps specific use cases to relevant product references and technical documentation.

When to use it

  • When you need to deploy, host, or publish a project on Cloudflare.
  • When you are unsure which Cloudflare product best fits your compute, storage, or AI requirements.
  • When building stateful AI agents that require persistent memory and real-time connections.
  • When you need to configure security, networking, or media optimization services on Cloudflare.
  • When troubleshooting deployment timeouts or network connectivity issues.

Advantages

  • Consolidates fragmented documentation into a single, navigable resource.
  • Simplifies product selection through clear, logic-based decision trees.
  • Provides ready-to-use code patterns for complex tasks like AI agent development.
  • Addresses common operational hurdles like authentication and network sandboxing.

Usage examples

“I need to deploy a full-stack web application to Cloudflare. Which product should I use?”
The agent will guide you to use Cloudflare Pages for Git-based deployments and provide the necessary steps to get started.
“How do I build a stateful AI chat agent on Cloudflare?”
The agent will provide the AIChatAgent class structure, explain how to manage message history, and show how to integrate with Workers AI.
“My deployment is failing with a network timeout. What should I do?”
The agent will recommend rerunning the deployment with escalated permissions using the sandbox_permissions=require_escalated flag.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/jetbrains/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/README.md

Cloudflare Workers Smart Placement

Automatic workload placement optimization to minimize latency by running Workers closer to backend infrastructure rather than end users.

Core Concept

Smart Placement automatically analyzes Worker request duration across Cloudflare's global network and intelligently routes requests to optimal data center locations. Instead of defaulting to the location closest to the end user, Smart Placement can forward requests to locations closer to backend infrastructure when this reduces overall request duration.

When to Use

Enable Smart Placement when:

  • Worker makes multiple round trips to backend services/databases

  • Backend infrastructure is geographically concentrated

  • Request duration dominated by backend latency rather than network latency from user

  • Running backend logic in Workers (APIs, data aggregation, SSR with DB calls)

  • Worker uses fetch handler (not RPC methods)

Do NOT enable for:

  • 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

  • Workers with RPC methods or named entrypoints (only fetch handlers are affected)

  • Pages/Assets Workers with run_worker_first = true (degrades asset serving)

Decision Tree
Does your Worker have a fetch handler?
├─ No → Smart Placement won't work (skip)
└─ Yes
   │
   Does it make multiple backend calls (DB/API)?
   ├─ No → Don't enable (won't help)
   └─ Yes
      │
      Is backend geographically concentrated?
      ├─ No (globally distributed) → Probably won't help
      └─ Yes or uncertain
         │
         Does it serve static assets with run_worker_first=true?
         ├─ Yes → Don't enable (will hurt performance)
         └─ No → Enable Smart Placement
            │
            After 15min, check placement_status
            ├─ SUCCESS → Monitor metrics
            ├─ INSUFFICIENT_INVOCATIONS → Need more traffic
            └─ UNSUPPORTED_APPLICATION → Disable (hurting performance)
Key Architecture Pattern

Recommended: Split full-stack applications into separate Workers:

User → Frontend Worker (at edge, close to user)
         ↓ Service Binding
       Backend Worker (Smart Placement enabled, close to DB/API)
         ↓
       Database/Backend Service

This maintains fast, reactive frontends while optimizing backend latency.

Quick Start

// wrangler.jsonc
{
  "placement": {
    "mode": "smart"  // or "off" to explicitly disable
  }
}

Deploy and wait 15 minutes for analysis. Check status via API or dashboard metrics.

To disable: Set "mode": "off" or remove placement field entirely (both equivalent).

Requirements

  • Wrangler 2.20.0+

  • Analysis time: Up to 15 minutes after enabling

  • Traffic requirements: Consistent traffic from multiple global locations

  • Available on all Workers plans (Free, Paid, Enterprise)

Placement Status Values

type PlacementStatus = 
  | undefined  // Not yet analyzed
  | 'SUCCESS'  // Successfully optimized
  | 'INSUFFICIENT_INVOCATIONS'  // Not enough traffic
  | 'UNSUPPORTED_APPLICATION';  // Made Worker slower (reverted)

CLI Commands

# Deploy with Smart Placement
wrangler deploy

# Check placement status
curl -H "Authorization: Bearer $TOKEN" \
  https://api.cloudflare.com/client/v4/accounts/$ACCOUNT_ID/workers/services/$WORKER_NAME \
  | jq .result.placement_status

# Monitor
wrangler tail your-worker-name --header cf-placement

Reading Order

First time? Start here:

  1. This README - understand core concepts and when to use Smart Placement

  2. configuration.md - set up wrangler.jsonc and understand limitations

  3. patterns.md - see practical examples for your use case

  4. api.md - monitor and verify Smart Placement is working

  5. gotchas.md - troubleshoot common issues

Quick lookup:

  • "Should I enable Smart Placement?" → See "When to Use" above

  • "How do I configure it?" → configuration.md

  • "How do I split frontend/backend?" → patterns.md

  • "Why isn't it working?" → gotchas.md

In This Reference

  • configuration.md - wrangler.jsonc setup, mode values, validation rules

  • api.md - Placement Status API, cf-placement header, monitoring

  • patterns.md - Frontend/backend split, database workers, SSR patterns

  • gotchas.md - Troubleshooting INSUFFICIENT_INVOCATIONS, performance issues

See Also

  • workers - Worker runtime and fetch handlers

  • d1 - D1 database that benefits from Smart Placement

  • durable-objects - Durable Objects with backend logic

  • bindings - Service bindings for frontend/backend split

Requirements and compatibility

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

Created by
OpenAI
Publisher
JetBrains (Official)
Distributed by
JetBrains
Source
JetBrains/skills · cloudflare-deploy · commit 3f53782
Licence
Apache License 2.0 (redistribution allowed)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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

Download ZIP

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