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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://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/hyperdrive/gotchas.md

Gotchas

See README.md, configuration.md, api.md, patterns.md.

Common Errors

"Too many open connections" / "Connection limit exceeded"

Cause: Workers have a hard limit of 6 concurrent connections per invocation Solution: Set max: 5 in driver config, reuse connections, ensure proper cleanup with client.end() or ctx.waitUntil(conn.end())

"Failed to acquire a connection (Pool exhausted)"

Cause: All connections in pool are in use, often due to long-running transactions Solution: Reduce transaction duration, avoid queries >60s, don't hold connections during external calls, or upgrade to paid plan for more connections

"connection_refused"

Cause: Database refusing connections due to firewall, connection limits, or service down Solution: Check firewall allows Cloudflare IPs, verify DB listening on port, confirm service running, and validate credentials

"Query timeout (deadline exceeded)"

Cause: Query execution exceeding 60s timeout limit Solution: Optimize with indexes, reduce dataset with LIMIT, break into smaller queries, or use async processing

"password authentication failed"

Cause: Invalid credentials in Hyperdrive configuration Solution: Check username and password in Hyperdrive config match database credentials

"SSL/TLS connection error"

Cause: SSL/TLS configuration mismatch between Hyperdrive and database Solution: Add sslmode=require (Postgres) or sslMode=REQUIRED (MySQL), upload CA cert if self-signed, verify DB has SSL enabled, and check cert expiry

"Queries not being cached"

Cause: Query is mutating (INSERT/UPDATE/DELETE), contains volatile functions (NOW(), RANDOM()), or caching disabled Solution: Verify query is non-mutating SELECT, avoid volatile functions, confirm caching enabled, use wrangler dev --remote to test, and set prepare=true for postgres.js

"Slow multi-query Workers despite Hyperdrive"

Cause: Worker executing at edge, each query round-trips to DB region Solution: Enable Smart Placement ("placement": {"mode": "smart"} in wrangler.jsonc) to execute Worker near DB. See patterns.md Multi-Query pattern.

"Local database connection failed"

Cause: localConnectionString incorrect or database not running Solution: Verify localConnectionString correct, check DB running, confirm env var name matches binding, and test with psql/mysql client

"Environment variable not working"

Cause: Environment variable format incorrect or not exported Solution: Use format CLOUDFLARE_HYPERDRIVE_LOCAL_CONNECTION_STRING_<BINDING>, ensure binding matches wrangler.jsonc, export variable in shell, and restart wrangler dev

Limits

LimitFreePaidNotes
Max configs1025Hyperdrive configurations per account
Worker connections66Max concurrent connections per Worker invocation
Username/DB name63 bytes63 bytesMaximum length
Connection timeout15s15sTime to establish connection
Idle timeout10 min10 minConnection idle timeout
Max origin connections~20~100Connections to origin database
Query duration max60s60sQueries >60s terminated
Cached response max50 MB50 MBResponses >50MB returned but not cached

Resources

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