Can this skill help me choose between Workers and Pages?

Yes, it includes specialized decision trees to help you determine the best compute environment based on whether you need a full-stack framework or isolated serverless functions.

Does it provide code for Cloudflare AI services?

Absolutely. It contains detailed references for Workers AI, Vectorize for RAG applications, and the Agents SDK for building stateful AI agents.

How does it handle project configuration?

The skill provides guidance on wrangler.toml setup, environment bindings, secrets management, and deployment best practices to ensure a smooth development-to-production pipeline.

What Cloudflare products does this skill cover?

It covers the entire platform, including Workers, Pages, D1, R2, KV, Workers AI, Vectorize, Tunnel, WAF, and infrastructure tools like Terraform and Pulumi.

Cloudflare Platform Expert

Name: Cloudflare Platform Expert
Author: amano--

byamano--

0•

Cloud Infrastructure

Architects, deploys, and manages full-stack applications and serverless functions on the Cloudflare global network.

The Cloudflare Platform Skill is a comprehensive toolkit for building and scaling edge-native applications. It provides Claude with specialized knowledge across the entire Cloudflare ecosystem, including compute (Workers, Pages), storage (D1, R2, KV), and cutting-edge AI services (Workers AI, Vectorize). By utilizing integrated decision trees and architectural patterns, the skill helps developers choose the right services for their specific needs, troubleshoot complex networking configurations, and implement infrastructure-as-code using Terraform or Pulumi. Whether you are building a simple API or a complex, stateful AI agent, this skill ensures best practices for performance, security, and cost-efficiency.

Key Features

01Comprehensive storage management including SQL (D1), NoSQL (KV), and Objects (R2)

020 GitHub stars

03Built-in AI integration for LLM inference, vector databases, and AI Gateways

04Advanced networking and security setup for Tunnels, WAF, and DDoS protection

05Automated project configuration via Wrangler and infrastructure-as-code tools

06Edge compute orchestration for Workers, Pages, and Workflows

Use Cases

01Deploying full-stack web applications with Git-based CI/CD workflows

02Implementing low-latency AI features like semantic search and automated agents

03Building high-performance serverless APIs with edge-side data persistence

Key Features

01Comprehensive storage management including SQL (D1), NoSQL (KV), and Objects (R2)

020 GitHub stars

03Built-in AI integration for LLM inference, vector databases, and AI Gateways

04Advanced networking and security setup for Tunnels, WAF, and DDoS protection

05Automated project configuration via Wrangler and infrastructure-as-code tools

06Edge compute orchestration for Workers, Pages, and Workflows

Use Cases

01Deploying full-stack web applications with Git-based CI/CD workflows

02Implementing low-latency AI features like semantic search and automated agents

03Building high-performance serverless APIs with edge-side data persistence