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Cloudflare

OpenAIOfficialCreated by CloudflareDistributed by OpenAI

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

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/durable-objects/gotchas.md

Durable Objects Gotchas

Common Errors

"Hibernation Cleared My In-Memory State"

Problem: Variables lost after hibernation Cause: DO auto-hibernates when idle; in-memory state not persisted Solution: Use ctx.storage for critical data, ws.serializeAttachment() for per-connection metadata

// ❌ Wrong - lost on hibernation
private userCount = 0;
async webSocketMessage(ws: WebSocket, msg: string) {
  this.userCount++;  // Lost!
}

// ✅ Right - persisted
async webSocketMessage(ws: WebSocket, msg: string) {
  const count = this.ctx.storage.kv.get("userCount") || 0;
  this.ctx.storage.kv.put("userCount", count + 1);
}
"setTimeout Didn't Fire After Restart"

Problem: Scheduled work lost on eviction Cause: setTimeout in-memory only; eviction clears timers Solution: Use ctx.storage.setAlarm() for reliable scheduling

// ❌ Wrong - lost on eviction
setTimeout(() => this.cleanup(), 3600000);

// ✅ Right - survives eviction
await this.ctx.storage.setAlarm(Date.now() + 3600000);
async alarm() { await this.cleanup(); }
"Constructor Runs on Every Wake"

Problem: Expensive init logic slows all requests Cause: Constructor runs on every wake (first request after eviction OR after hibernation) Solution: Lazy initialization or cache in storage

Critical understanding: Constructor runs in two scenarios:

  1. Cold start - DO evicted from memory, first request creates new instance

  2. Wake from hibernation - DO with WebSockets hibernated, message/alarm wakes it

// ❌ Wrong - expensive on every wake
constructor(ctx: DurableObjectState, env: Env) {
  super(ctx, env);
  this.heavyData = this.loadExpensiveData();  // Slow!
}

// ✅ Right - lazy load
private heavyData?: HeavyData;
private getHeavyData() {
  if (!this.heavyData) this.heavyData = this.loadExpensiveData();
  return this.heavyData;
}
"Durable Object Overloaded (503 errors)"

Problem: 503 errors under load Cause: Single DO exceeding ~1K req/s throughput limit Solution: Shard across multiple DOs (see Patterns: Sharding)

"Storage Quota Exceeded (Write failures)"

Problem: Write operations failing Cause: DO storage exceeding 10GB limit or account quota Solution: Cleanup with alarms, use deleteAll() for old data, upgrade plan

"CPU Time Exceeded (Terminated)"

Problem: Request terminated mid-execution Cause: Processing exceeding 30s CPU time default limit Solution: Increase limits.cpu_ms in wrangler.jsonc (max 300s) or chunk work

"WebSockets Disconnect on Eviction"

Problem: Connections drop unexpectedly Cause: DO evicted from memory without hibernation API Solution: Use WebSocket hibernation handlers + client reconnection logic

"Migration Failed (Deploy error)"

Cause: Non-unique tags, non-sequential tags, or invalid class names in migration Solution: Check tag uniqueness/sequential ordering and verify class names are correct

"RPC Method Not Found"

Cause: compatibility_date < 2024-04-03 preventing RPC usage Solution: Update compatibility_date to >= 2024-04-03 or use fetch() instead of RPC

"Only One Alarm Allowed"

Cause: Need multiple scheduled tasks but only one alarm supported per DO Solution: Use event queue pattern to schedule multiple tasks with single alarm

"Race Condition Despite Single-Threading"

Problem: Concurrent requests see inconsistent state Cause: Async operations allow request interleaving (await = yield point) Solution: Use blockConcurrencyWhile() for critical sections or atomic storage ops

// ❌ Wrong - race condition
async incrementCounter() {
  const count = await this.ctx.storage.get("count") || 0;
  // ⚠️ Another request could execute here during await
  await this.ctx.storage.put("count", count + 1);
}

// ✅ Right - atomic operation
async incrementCounter() {
  return this.ctx.storage.sql.exec(
    "INSERT INTO counters (id, value) VALUES (1, 1) ON CONFLICT(id) DO UPDATE SET value = value + 1 RETURNING value"
  ).one().value;
}

// ✅ Right - explicit locking
async criticalOperation() {
  await this.ctx.blockConcurrencyWhile(async () => {
    const count = await this.ctx.storage.get("count") || 0;
    await this.ctx.storage.put("count", count + 1);
  });
}
"Migration Rollback Not Supported"

Cause: Attempting to rollback a migration after deployment Solution: Test with --dry-run before deploying; migrations cannot be rolled back

"deleted_classes Destroys Data"

Problem: Migration deleted all data Cause: deleted_classes migration immediately destroys all DO instances and data Solution: Test with --dry-run; use transferred_classes to preserve data during moves

"Cold Starts Are Slow"

Problem: First request after eviction takes longer Cause: DO constructor + initial storage access on cold start Solution: Expected behavior; optimize constructor, use connection pooling in clients, consider warming strategy for critical DOs

// Warming strategy (periodically ping critical DOs)
export default {
  async scheduled(event: ScheduledEvent, env: Env) {
    const criticalIds = ["auth", "sessions", "locks"];
    await Promise.all(criticalIds.map(name => {
      const id = env.MY_DO.idFromName(name);
      const stub = env.MY_DO.get(id);
      return stub.ping();  // Keep warm
    }));
  }
};

Limits

LimitFreePaidNotes
SQLite storage per DO10 GB10 GBPer Durable Object instance
SQLite total storage5 GBUnlimitedAccount-wide quota
Key+value size2 MB2 MBSingle KV pair (SQLite/async)
CPU time default30s30sPer request; configurable
CPU time max300s300sSet via limits.cpu_ms
DO classes100500Distinct DO class definitions
SQL columns100100Per table
SQL statement size100 KB100 KBMax SQL query size
WebSocket message size32 MiB32 MiBPer message
Request throughput~1K req/s~1K req/sPer DO (soft limit - shard for more)
Alarms per DO11Use queue pattern for multiple events
Total DOsUnlimitedUnlimitedCreate as many instances as needed
WebSocketsUnlimitedUnlimitedWithin 128MB memory limit per DO
Memory per DO128 MB128 MBIn-memory state + WebSocket buffers

Hibernation Caveats

  1. Memory cleared - All in-memory variables lost; reconstruct from storage or deserializeAttachment()

  2. Constructor reruns - Runs on wake; avoid expensive operations, use lazy initialization

  3. No guarantees - DO may evict instead of hibernate; design for both

  4. Attachment limit - serializeAttachment() data must be JSON-serializable, keep small

  5. Alarm wakes DO - Alarm prevents hibernation until handler completes

  6. WebSocket state not automatic - Must explicitly persist with serializeAttachment() or storage

See Also

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)
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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