Workers Development: JavaScript, TypeScript, Python, WASM edge compute
AI Workers: TTS (Aura-2, MeloTTS), STT (Whisper), LLM inference, vision, embeddings
Storage Services: R2, D1, KV, Durable Objects, Queues, Vectorize
Hyperdrive: Database connection pooling for PostgreSQL/MySQL
Zero Trust: Cloudflare Tunnel, WARP, Access policies
MCP Servers: Model Context Protocol development on Workers
CI/CD: GitHub Actions, Workers Builds
Observability: Workers Logs, OpenTelemetry export

Installation

claude plugins add cloudflare-master

Usage

The cloudflare-expert agent activates automatically for any Cloudflare-related task. You can also use the slash commands directly:

Commands

Command	Description
`/cloudflare-worker <name> [bindings]`	Create a new Worker with optional bindings (kv,r2,d1,do,queue,ai,hyperdrive)
`/cloudflare-deploy [env]`	Deploy Worker to production, staging, or preview
`/cloudflare-tunnel <name> <service> <hostname>`	Create Zero Trust tunnel
`/cloudflare-ai <task>`	Generate AI Workers code (tts, stt, image, chat, vision, embedding, rag)
`/cloudflare-debug [issue]`	Debug Workers issues (deploy, binding, performance, error)

Examples

# Create a Worker with KV and D1 bindings
/cloudflare-worker my-api kv,d1

# Deploy to staging
/cloudflare-deploy staging

# Create a tunnel to expose local service
/cloudflare-tunnel my-tunnel http://localhost:3000 app.example.com

# Generate TTS Worker code
/cloudflare-ai tts

# Debug deployment issues
/cloudflare-debug deploy

Agent Capabilities

The cloudflare-expert agent can help with:

Workers Development

Project scaffolding and configuration
Wrangler CLI commands and options
TypeScript/JavaScript patterns
Python Workers with workers-python
WebAssembly modules

Storage Solutions

KV: Key-value caching, TTL strategies
R2: S3-compatible object storage, presigned URLs
D1: SQLite databases, migrations
Durable Objects: Stateful coordination, WebSocket handling
Queues: Async message processing
Vectorize: Vector database for RAG

AI Workers

Text-to-Speech (Aura-2 for English, MeloTTS for multilingual)
Speech-to-Text (Whisper large-v3-turbo)
LLM inference (Llama 3.3 70B, Mistral, Qwen, DeepSeek)
Image generation (FLUX.1, Stable Diffusion XL)
Vision/captioning (Llama 3.2 Vision)
Embeddings and RAG patterns

Zero Trust

Cloudflare Tunnel setup and configuration
WARP client deployment
Access policies and Service Auth
Gateway DNS filtering
JWT validation in Workers

MCP Development

Streamable HTTP transport
Tools, Resources, and Prompts
OAuth authorization
Cloudflare service integration

CI/CD & Observability

GitHub Actions with wrangler-action
Workers Builds
Workers Logs and analytics
OpenTelemetry export

Skill Reference

The plugin includes comprehensive reference documentation:

cloudflare-knowledge: Main skill with Wrangler CLI, storage services, AI models, Zero Trust, and CI/CD
ai-workers-models.md: Complete AI model catalog with usage examples
mcp-server-development.md: MCP server development guide
zero-trust-setup.md: Zero Trust configuration reference

Requirements

Node.js 18+
Wrangler CLI (npm install -g wrangler)
Cloudflare account

Version

1.0.0

License

MIT