Cloudflare

This handles everything Cloudflare for building at the edge: Workers for serverless functions, KV for key-value storage, D1 for SQLite databases, R2 for object storage, and their AI inference models. The skill covers the full stack from wrangler CLI setup through routing patterns, batch database operations, and Durable Objects for stateful coordination. Particularly strong on the AI side with examples for Llama, Stable Diffusion, embeddings, and Whisper transcription. You'll want this when you're deploying globally distributed apps or need sub-50ms response times without managing infrastructure. The wrangler.toml examples alone save a lot of documentation diving.

skills.sh installs: 144
GitHub stars: 296
last updated: Jun 10, 2026

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Install

$ npx -y skills add hoodini/ai-agents-skills --skill cloudflare --agent claude-code

Installs into .claude/skills of the current project.

Files

Cloudflare Platform

Build globally distributed applications on Cloudflare's edge network.

Quick Start

# Install Wrangler CLI
npm install -g wrangler

# Login
wrangler login

# Create new Worker
wrangler init my-worker

# Deploy
wrangler deploy

Workers

Basic Worker

// src/index.ts
export default {
  async fetch(request: Request, env: Env, ctx: ExecutionContext): Promise<Response> {
    const url = new URL(request.url);
    
    if (url.pathname === '/api/hello') {
      return Response.json({ message: 'Hello from the edge!' });
    }
    
    return new Response('Not Found', { status: 404 });
  },
};

wrangler.toml Configuration

name = "my-worker"
main = "src/index.ts"
compatibility_date = "2024-01-01"

[vars]
ENVIRONMENT = "production"

# KV Namespace
[[kv_namespaces]]
binding = "MY_KV"
id = "abc123"

# D1 Database
[[d1_databases]]
binding = "DB"
database_name = "my-database"
database_id = "def456"

# R2 Bucket
[[r2_buckets]]
binding = "BUCKET"
bucket_name = "my-bucket"

# AI
[ai]
binding = "AI"

# Durable Objects
[[durable_objects.bindings]]
name = "COUNTER"
class_name = "Counter"

SKILL.md on GitHub