Cloudflare Deploy
OpenAIOfficialPublished by OpenAI
- Skill
- Tool integration
- Cloud and DevOps
- Apache-2.0
- Medium risk
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
Download the skill as a ZIP:
https://autogineer.com/agent-skills/openai/cloudflare-deploy/downloadUnzip 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 authenticatedNot authenticated? → references/wrangler/auth.md
Interactive/local:
wrangler login(one-time OAuth)CI/CD: Set
CLOUDFLARE_API_TOKENenv 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
| Product | Reference |
|---|---|
| Workers | references/workers/ |
| Pages | references/pages/ |
| Pages Functions | references/pages-functions/ |
| Durable Objects | references/durable-objects/ |
| Workflows | references/workflows/ |
| Containers | references/containers/ |
| Workers for Platforms | references/workers-for-platforms/ |
| Cron Triggers | references/cron-triggers/ |
| Tail Workers | references/tail-workers/ |
| Snippets | references/snippets/ |
| Smart Placement | references/smart-placement/ |
Storage & Data
| Product | Reference |
|---|---|
| KV | references/kv/ |
| D1 | references/d1/ |
| R2 | references/r2/ |
| Queues | references/queues/ |
| Hyperdrive | references/hyperdrive/ |
| DO Storage | references/do-storage/ |
| Secrets Store | references/secrets-store/ |
| Pipelines | references/pipelines/ |
| R2 Data Catalog | references/r2-data-catalog/ |
| R2 SQL | references/r2-sql/ |
AI & Machine Learning
| Product | Reference |
|---|---|
| Workers AI | references/workers-ai/ |
| Vectorize | references/vectorize/ |
| Agents SDK | references/agents-sdk/ |
| AI Gateway | references/ai-gateway/ |
| AI Search | references/ai-search/ |
Networking & Connectivity
| Product | Reference |
|---|---|
| Tunnel | references/tunnel/ |
| Spectrum | references/spectrum/ |
| TURN | references/turn/ |
| Network Interconnect | references/network-interconnect/ |
| Argo Smart Routing | references/argo-smart-routing/ |
| Workers VPC | references/workers-vpc/ |
Security
| Product | Reference |
|---|---|
| WAF | references/waf/ |
| DDoS Protection | references/ddos/ |
| Bot Management | references/bot-management/ |
| API Shield | references/api-shield/ |
| Turnstile | references/turnstile/ |
Media & Content
| Product | Reference |
|---|---|
| Images | references/images/ |
| Stream | references/stream/ |
| Browser Rendering | references/browser-rendering/ |
| Zaraz | references/zaraz/ |
Real-Time Communication
| Product | Reference |
|---|---|
| RealtimeKit | references/realtimekit/ |
| Realtime SFU | references/realtime-sfu/ |
Developer Tools
| Product | Reference |
|---|---|
| Wrangler | references/wrangler/ |
| Miniflare | references/miniflare/ |
| C3 | references/c3/ |
| Observability | references/observability/ |
| Analytics Engine | references/analytics-engine/ |
| Web Analytics | references/web-analytics/ |
| Sandbox | references/sandbox/ |
| Workerd | references/workerd/ |
| Workers Playground | references/workers-playground/ |
Infrastructure as Code
| Product | Reference |
|---|---|
| Pulumi | references/pulumi/ |
| Terraform | references/terraform/ |
| API | references/api/ |
Other Services
| Product | Reference |
|---|---|
| Email Routing | references/email-routing/ |
| Email Workers | references/email-workers/ |
| Static Assets | references/static-assets/ |
| Bindings | references/bindings/ |
| Cache Reserve | references/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
- ATTRIBUTION.mdAdded by AutoGineer894 B
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- references/wrangler/gotchas.md5.7 KiB
- references/wrangler/patterns.md4.8 KiB
- references/zaraz/IMPLEMENTATION_SUMMARY.md3.4 KiB
- references/zaraz/README.md3.8 KiB
- references/zaraz/api.md3.1 KiB
- references/zaraz/configuration.md1.8 KiB
- references/zaraz/gotchas.md2.0 KiB
- references/zaraz/patterns.md2.1 KiB
references/d1/configuration.md
D1 Configuration
wrangler.jsonc Setup
{
"name": "your-worker-name",
"main": "src/index.ts",
"compatibility_date": "2025-01-01", // Use current date for new projects
"d1_databases": [
{
"binding": "DB", // Env variable name
"database_name": "your-db-name", // Human-readable name
"database_id": "your-database-id", // UUID from dashboard/CLI
"migrations_dir": "migrations" // Optional: default is "migrations"
},
// Read replica (paid plans only)
{
"binding": "DB_REPLICA",
"database_name": "your-db-name",
"database_id": "your-database-id" // Same ID, different binding
},
// Multiple databases
{
"binding": "ANALYTICS_DB",
"database_name": "analytics-db",
"database_id": "yyy-yyy-yyy"
}
]
}TypeScript Types
interface Env { DB: D1Database; ANALYTICS_DB?: D1Database; }
export default {
async fetch(request: Request, env: Env, ctx: ExecutionContext): Promise<Response> {
const result = await env.DB.prepare('SELECT * FROM users').all();
return Response.json(result.results);
}
}Migrations
File structure: migrations/0001_initial_schema.sql, 0002_add_posts.sql, etc.
Example Migration
-- migrations/0001_initial_schema.sql
CREATE TABLE IF NOT EXISTS users (
id INTEGER PRIMARY KEY AUTOINCREMENT,
email TEXT UNIQUE NOT NULL,
name TEXT NOT NULL,
created_at TEXT DEFAULT CURRENT_TIMESTAMP,
updated_at TEXT DEFAULT CURRENT_TIMESTAMP
);
CREATE INDEX idx_users_email ON users(email);
CREATE TABLE IF NOT EXISTS posts (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id INTEGER NOT NULL,
title TEXT NOT NULL,
content TEXT,
published BOOLEAN DEFAULT 0,
created_at TEXT DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE
);
CREATE INDEX idx_posts_user_id ON posts(user_id);
CREATE INDEX idx_posts_published ON posts(published);Running Migrations
# Create new migration file
wrangler d1 migrations create <db-name> add_users_table
# Creates: migrations/0001_add_users_table.sql
# Apply migrations
wrangler d1 migrations apply <db-name> --local # Apply to local DB
wrangler d1 migrations apply <db-name> --remote # Apply to production DB
# List applied migrations
wrangler d1 migrations list <db-name> --remote
# Direct SQL execution (bypasses migration tracking)
wrangler d1 execute <db-name> --remote --command="SELECT * FROM users"
wrangler d1 execute <db-name> --local --file=./schema.sqlMigration tracking: Wrangler creates d1_migrations table automatically to track applied migrations
Indexing Strategy
-- Index frequently queried columns
CREATE INDEX idx_users_email ON users(email);
-- Composite indexes for multi-column queries
CREATE INDEX idx_posts_user_published ON posts(user_id, published);
-- Covering indexes (include queried columns)
CREATE INDEX idx_users_email_name ON users(email, name);
-- Partial indexes for filtered queries
CREATE INDEX idx_active_users ON users(email) WHERE active = 1;
-- Check if query uses index
EXPLAIN QUERY PLAN SELECT * FROM users WHERE email = ?;Drizzle ORM
// drizzle.config.ts
export default {
schema: './src/schema.ts', out: './migrations', dialect: 'sqlite', driver: 'd1-http',
dbCredentials: { accountId: process.env.CLOUDFLARE_ACCOUNT_ID!, databaseId: process.env.D1_DATABASE_ID!, token: process.env.CLOUDFLARE_API_TOKEN! }
} satisfies Config;
// schema.ts
import { sqliteTable, text, integer } from 'drizzle-orm/sqlite-core';
export const users = sqliteTable('users', {
id: integer('id').primaryKey({ autoIncrement: true }),
email: text('email').notNull().unique(),
name: text('name').notNull()
});
// worker.ts
import { drizzle } from 'drizzle-orm/d1';
import { users } from './schema';
export default {
async fetch(request: Request, env: Env) {
const db = drizzle(env.DB);
return Response.json(await db.select().from(users));
}
}Import & Export
# Export full database (schema + data)
wrangler d1 export <db-name> --remote --output=./backup.sql
# Export data only (no schema)
wrangler d1 export <db-name> --remote --no-schema --output=./data-only.sql
# Export with foreign key constraints preserved
# (Default: foreign keys are disabled during export for import compatibility)
# Import SQL file
wrangler d1 execute <db-name> --remote --file=./backup.sql
# Limitations
# - BLOB data may not export correctly (use R2 for binary files)
# - Very large exports (>1GB) may timeout (split into chunks)
# - Import is NOT atomic (use batch() for transactional imports in Workers)Plan Tiers
| Feature | Free | Paid |
|---|---|---|
| Database size | 500 MB | 10 GB |
| Batch size | 1,000 statements | 10,000 statements |
| Time Travel | 7 days | 30 days |
| Read replicas | ❌ | ✅ |
| Sessions API | ❌ | ✅ (up to 15 min) |
| Pricing | Free | $5/mo + usage |
Usage pricing (paid plans): $0.001 per 1K reads + $1 per 1M writes + $0.75/GB storage/month
Local Development
wrangler dev --persist-to=./.wrangler/state # Persist across restarts
# Local DB: .wrangler/state/v3/d1/<database-id>.sqlite
sqlite3 .wrangler/state/v3/d1/<database-id>.sqlite # Inspect
# Local dev uses free tier limits by defaultRequirements 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
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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
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The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download cloudflare-deploy.zip