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Cloudflare

OpenAIOfficialCreated by CloudflareDistributed by OpenAI

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

Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
— the description by Cloudflare

AutoGineer summary

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

The Cloudflare platform skill provides a centralized resource for developers building on Cloudflare's edge network. It covers the full ecosystem, including compute (Workers, Pages), storage (KV, D1, R2), AI integration (Workers AI, Agents SDK), networking, and security. The skill emphasizes a retrieval-first approach, directing users to official Cloudflare documentation and configuration schemas to ensure accuracy regarding API signatures, limits, and pricing.

What it does

  • Provides decision trees to help select the right Cloudflare product for specific compute, storage, or networking needs.
  • Offers structured references for the Cloudflare Agents SDK, including lifecycle hooks and state management.
  • Guides users on integrating AI models and vector databases into edge applications.
  • Outlines methods for managing infrastructure-as-code using Terraform or Pulumi.
  • Facilitates access to product-specific documentation for security, media, and analytics services.
  • Maintains a directory of developer tools like Wrangler and Miniflare for local development and testing.

When to use it

  • When starting a new project on the Cloudflare platform and needing to choose the appropriate architecture.
  • When implementing stateful AI agents using the Cloudflare Agents SDK.
  • When configuring edge compute, storage bindings, or networking rules.
  • When troubleshooting API limits, configuration errors, or deployment issues.
  • When integrating AI models or vector search into existing edge applications.

Advantages

  • Consolidates a vast ecosystem into a navigable, task-oriented structure.
  • Promotes the use of official, up-to-date documentation over potentially stale training data.
  • Simplifies complex architectural decisions through clear, logic-based decision trees.
  • Provides specific code patterns for advanced features like Durable Objects and AI agents.
  • Supports modern infrastructure-as-code workflows for consistent deployments.

Usage examples

“I need to build a stateful AI chat agent on Cloudflare. How do I start?”
The agent will guide you to use the AIChatAgent class from the Agents SDK, explain how to manage message history, and provide a template for integrating AI models.
“Which storage solution should I use for relational data in my Worker?”
The agent will point you to D1 for SQLite-based relational storage or Hyperdrive for connecting to existing Postgres/MySQL databases.
“How do I expose my local development server to the internet via Cloudflare?”
The agent will provide instructions on using Cloudflare Tunnel to securely connect your local service to the Cloudflare edge.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/openai/cloudflare/download

  2. Unzip it into the cross-client skills folder of your project:

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

Documentation by Cloudflare

Cloudflare Platform Skill

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

Your knowledge of Cloudflare APIs, types, limits, and pricing may be outdated. Prefer retrieval over pre-training — the references in this skill are starting points, not source of truth.

Retrieval Sources

Fetch the latest information before citing specific numbers, API signatures, or configuration options. Do not rely on baked-in knowledge or these reference files alone.

SourceHow to retrieveUse for
Cloudflare docsSearch https://developers.cloudflare.com/ directlyLimits, pricing, API reference, compatibility dates/flags
Workers typesnpm pack @cloudflare/workers-types or check node_modulesType signatures, binding shapes, handler types
Wrangler config schemanode_modules/wrangler/config-schema.jsonConfig fields, binding shapes, allowed values
Product changelogshttps://developers.cloudflare.com/changelog/Recent changes to limits, features, deprecations

When a reference file and the docs disagree, trust the docs. This is especially important for: numeric limits, pricing tiers, type signatures, and configuration options.

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 analytics/metrics data"
Need analytics?
├─ Query across all Cloudflare products (HTTP, Workers, DNS, etc.) → graphql-api/
├─ Custom high-cardinality metrics from Workers → analytics-engine/
├─ Client-side (RUM) performance data → web-analytics/
├─ Workers Logs and real-time debugging → observability/
└─ Raw logs (Logpush to external tools) → Cloudflare docs
"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/
GraphQL Analytics APIreferences/graphql-api/
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/

Files

references/containers/configuration.md

Wrangler Configuration

Basic Container Config
{
  "name": "my-worker",
  "main": "src/index.ts",
  "compatibility_date": "2026-01-10",
  "containers": [
    {
      "class_name": "MyContainer",
      "image": "./Dockerfile",  // Path to Dockerfile or directory with Dockerfile
      "instance_type": "standard-1",  // Predefined or custom (see below)
      "max_instances": 10
    }
  ],
  "durable_objects": {
    "bindings": [
      {
        "name": "MY_CONTAINER",
        "class_name": "MyContainer"
      }
    ]
  },
  "migrations": [
    {
      "tag": "v1",
      "new_sqlite_classes": ["MyContainer"]  // Must use new_sqlite_classes
    }
  ]
}

Key config requirements:

  • image - Path to Dockerfile or directory containing Dockerfile

  • class_name - Must match Container class export name

  • max_instances - Max concurrent container instances

  • Must configure Durable Objects binding AND migrations

Instance Types
Predefined Types
TypevCPUMemoryDisk
lite1/16256 MiB2 GB
basic1/41 GiB4 GB
standard-11/24 GiB8 GB
standard-216 GiB12 GB
standard-328 GiB16 GB
standard-4412 GiB20 GB
{
  "containers": [
    {
      "class_name": "MyContainer",
      "image": "./Dockerfile",
      "instance_type": "standard-2"  // Use predefined type
    }
  ]
}
Custom Types (Jan 2026 Feature)
{
  "containers": [
    {
      "class_name": "MyContainer",
      "image": "./Dockerfile",
      "instance_type_custom": {
        "vcpu": 2,              // 1-4 vCPU
        "memory_mib": 8192,     // 512-12288 MiB (up to 12 GiB)
        "disk_mib": 16384       // 2048-20480 MiB (up to 20 GB)
      }
    }
  ]
}

Custom type constraints:

  • Minimum 3 GiB memory per vCPU

  • Maximum 2 GB disk per 1 GiB memory

  • Max 4 vCPU, 12 GiB memory, 20 GB disk per container

Account Limits
ResourceLimitNotes
Total memory (all containers)400 GiBAcross all running containers
Total vCPU (all containers)100Across all running containers
Total disk (all containers)2 TBAcross all running containers
Image storage per account50 GBStored container images
Container Class Properties
import { Container } from "@cloudflare/containers";

export class MyContainer extends Container {
  // Port Configuration
  defaultPort = 8080;             // Default port for fetch() calls
  requiredPorts = [8080, 9090];   // Ports to wait for in startAndWaitForPorts()

  // Lifecycle
  sleepAfter = "30m";             // Inactivity timeout (5m, 30m, 2h, etc.)

  // Network
  enableInternet = true;          // Allow outbound internet access

  // Health Check
  pingEndpoint = "/health";       // Health check endpoint path

  // Environment
  envVars = {                     // Environment variables passed to container
    NODE_ENV: "production",
    LOG_LEVEL: "info"
  };

  // Startup
  entrypoint = ["/bin/start.sh"]; // Override image entrypoint (optional)
}

Property details:

  • defaultPort: Port used when calling container.fetch() without explicit port. Falls back to port 33 if not set.

  • requiredPorts: Array of ports that must be listening before startAndWaitForPorts() returns. First port becomes default if defaultPort not set.

  • sleepAfter: Duration string (e.g., "5m", "30m", "2h"). Container stops after this period of inactivity. Timer resets on each request.

  • enableInternet: Boolean. If true, container can make outbound HTTP/TCP requests.

  • pingEndpoint: Path used for health checks. Should respond with 2xx status.

  • envVars: Object of environment variables. Merged with runtime-provided vars (see below).

  • entrypoint: Array of strings. Overrides container image's CMD/ENTRYPOINT.

Runtime Environment Variables

Cloudflare automatically provides these environment variables to containers:

VariableDescription
CLOUDFLARE_APPLICATION_IDWorker application ID
CLOUDFLARE_COUNTRY_A2Two-letter country code of request origin
CLOUDFLARE_LOCATIONCloudflare data center location
CLOUDFLARE_REGIONRegion identifier
CLOUDFLARE_DURABLE_OBJECT_IDContainer's Durable Object ID

Custom envVars from Container class are merged with these. Custom vars override runtime vars if names conflict.

Image Management

Distribution model: Images pre-fetched to all global locations before deployment. Ensures fast cold starts (2-3s typical).

Rolling deploys: Unlike Workers (instant), container deployments roll out gradually. Old versions continue running during rollout.

Ephemeral disk: Container disk is ephemeral and resets on each stop. Use Durable Object storage (this.ctx.storage) for persistence.

wrangler.toml Format

name = "my-worker"
main = "src/index.ts"
compatibility_date = "2026-01-10"

[[containers]]
class_name = "MyContainer"
image = "./Dockerfile"
instance_type = "standard-2"
max_instances = 10

[[durable_objects.bindings]]
name = "MY_CONTAINER"
class_name = "MyContainer"

[[migrations]]
tag = "v1"
new_sqlite_classes = ["MyContainer"]

Both wrangler.jsonc and wrangler.toml are supported. Use wrangler.jsonc for comments and better IDE support.

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.

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
Cloudflare
Publisher
OpenAI (Official)
Distributed by
OpenAI
Source
openai/plugins · plugins/cloudflare/skills/cloudflare · commit d420d13
Licence
Apache License 2.0 (redistribution allowed)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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

Download ZIP

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