cloudflare

Deploy and manage full-stack applications on Cloudflare's edge platform.

4|Updated Nov 16, 2025
One-click install
npx skills add https://github.com/akornmeier/claude-config --skill cloudflare-akornmeier
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cloudflare
Source: https://github.com/akornmeier/claude-config/tree/main/skills/cloudflare
Command: npx skills add https://github.com/akornmeier/claude-config --skill cloudflare-akornmeier

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enable developers to deploy and manage full-stack applications at the edge using Cloudflare's platform.

Core Features & Use Cases

  • Edge-first development with Workers, D1, KV, R2, and Durable Objects for low-latency data and state.
  • AI-powered capabilities via Workers AI, AI Gateway, and Agents for on-edge AI workloads.
  • Static hosting with Pages and built-in deployment tooling.
  • End-to-end deployment workflow using Wrangler (dev, test, deploy).

Quick Start

Install Wrangler and log in: wrangler login Initialize a project and configure bindings: wrangler init my-edge-app; cd my-edge-app; edit wrangler.toml to set bindings for Workers, D1, KV, R2, and Pages as needed. Run local development and deploy: wrangler dev --local; wrangler deploy

Frequently Asked Questions about cloudflare

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy a full-stack application to the edge using Cloudflare Workers?

To deploy a full-stack application to the edge using Cloudflare Workers, initialize a project with Wrangler, configure edge bindings in wrangler.toml, test locally with wrangler dev, and execute wrangler deploy.

Can I use D1, KV, and R2 storage bindings together in a single Cloudflare Worker?

Yes, you can use D1, KV, and R2 storage bindings together in a single Cloudflare Worker by declaring each binding in your wrangler.toml file to enable low-latency data and state management at the edge.

What is the best way to start local development for Cloudflare Pages and Durable Objects?

The best way to start local development for Cloudflare Pages and Durable Objects is running wrangler dev --local after configuring your project bindings, allowing you to test edge-first architecture before deployment.

Does Cloudflare support running AI workloads directly at the edge?

Yes, Cloudflare supports running AI workloads directly at the edge via Workers AI, AI Gateway, and Agents, allowing developers to execute low-latency, on-edge AI processing within their applications.

How do I configure edge bindings for static hosting with Cloudflare Pages?

To configure edge bindings for static hosting with Cloudflare Pages, edit your wrangler.toml file during project initialization to set the necessary Workers, D1, KV, and R2 bindings before deploying.