analytics-metrics
Build data visualization and analytics dashboards. Use when creating charts, KPI displays, metrics dashboards, or data visualization components. Triggers on…
Build and deploy on Cloudflare's edge platform. Use when creating Workers, Pages, D1 databases, R2 storage, AI inference, or KV storage. Triggers on Cloudflare, Workers, Cloudflare Pages, D1, R2, KV, Cloudflare AI, Durable Objects, edge computing.
$ npx -y skills add hoodini/ai-agents-skills --skill cloudflare --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/cloudflareContext preview
The summary Claude sees to decide when to auto-load this skill.
Build and deploy on Cloudflare's edge platform. Use when creating Workers, Pages, D1 databases, R2 storage, AI inference, or KV storage. Triggers on Cloudflare, Workers, Cloudflare Pages, D1, R2, KV, Cloudflare AI, Durable Objects, edge computing.
name: cloudflare description: Build and deploy on Cloudflare's edge platform. Use when creating Workers, Pages, D1 databases, R2 storage, AI inference, or KV storage. Triggers on Cloudflare, Workers, Cloudflare Pages, D1, R2, KV, Cloudflare AI, Durable Objects, edge computing.
Build globally distributed applications on Cloudflare's edge network.
# Install Wrangler CLI npm install -g wrangler # Login wrangler login # Create new Worker wrangler init my-worker # Deploy wrangler deploy
// 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 });
},
};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" [[migrations]] tag = "v1" new_classes = ["Counter"]
export default {
async fetch(request: Request, env: Env): Promise<Response> {
const url = new URL(request.url);
const { pathname } = url;
// Router pattern
const routes: Record<string, () => Promise<Response>> = {
'/api/users': () => handleUsers(request, env),
'/api/posts': () => handlePosts(request, env),
};
const handler = routes[pathname];
if (handler) {
return handler();
}
// Wildcard matching
if (pathname.startsWith('/api/users/')) {
const userId = pathname.split('/')[3];
return handleUser(userId, request, env);
}
return new Response('Not Found', { status: 404 });
},
};interface Env {
MY_KV: KVNamespace;
}
export default {
async fetch(request: Request, env: Env): Promise<Response> {
const url = new URL(request.url);
// Set value
await env.MY_KV.put('key', 'value', {
expirationTtl: 3600, // 1 hour
metadata: { created: Date.now() },
});
// Get value
const value = await env.MY_KV.get('key');
// Get with metadata
const { value: data, metadata } = await env.MY_KV.getWithMetadata('key');
// List keys
const list = await env.MY_KV.list({ prefix: 'user:' });
// Delete
await env.MY_KV.delete('key');
return Response.json({ value });
},
};interface Env {
DB: D1Database;
}
// Create tables (run once via wrangler d1 execute)
// wrangler d1 execute my-database --file=./schema.sql
export default {
async fetch(request: Request, env: Env): Promise<Response> {
// Query
const { results } = await env.DB.prepare(
'SELECT * FROM users WHERE id = ?'
).bind(1).all();
// Insert
const { meta } = await env.DB.prepare(
'INSERT INTO users (name, email) VALUES (?, ?)'
).bind('Alice', 'alice@example.com').run();
// Batch operations
const batch = await env.DB.batch([
env.DB.prepare('INSERT INTO logs (action) VALUES (?)').bind('login'),
env.DB.prepare('UPDATE users SET last_login = ? WHERE id = ?').bind(Date.now(), 1),
]);
// First result only
const user = await env.DB.prepare(
'SELECT * FROM users WHERE email = ?'
).bind('alice@example.com').first();
return Response.json({ results, insertId: meta.last_row_id });
},
};-- schema.sql CREATE TABLE IF NOT EXISTS users ( id INTEGER PRIMARY KEY AUTOINCREMENT, name TEXT NOT NULL, email TEXT UNIQUE NOT NULL, created_at DATETIME DEFAULT CURRENT_TIMESTAMP ); CREATE TABLE IF NOT EXISTS posts ( id INTEGER PRIMARY KEY AUTOINCREMENT, user_id INTEGER NOT NULL, title TEXT NOT NULL, content TEXT, FOREIGN KEY (user_id) REFERENCES users(id) );
interface Env {
BUCKET: R2Bucket;
}
export default {
async fetch(request: Request, env: Env): Promise<Response> {
const url = new URL(request.url);
const key = url.pathname.slice(1);
switch (request.method) {
case 'PUT': {
// Upload file
const body = await request.arrayBuffer();
await env.BUCKET.put(key, body, {
httpMetadata: {
contentType: request.headers.get('content-type') || 'application/octet-stream',
},
customMetadata: {
uploadedBy: 'api',
},
});
return new Response('Uploaded', { status: 201 });
}
case 'GET': {
// Download file
const object = await env.BUCKET.get(key);
if (!object) {
return new Response('Not Found', { status: 404 });
}
const headers = new Headers();
object.writeHttpMetadata(headers);
headers.set('etag', object.httpEtag);
return new Response(object.body, { headers });
}
case 'DELETE': {
await env.BUCKET.delete(key);
return new Response('Deleted');
}
default:
return new Response('Method Not Allowed', { status: 405 });
}
},
};
// List objects
async function listObjects(env: Env, prefix?: string) {
const listed = await env.BUCKET.list({
prefix,
limit: 100,
});
return listed.objects.map(obj => ({
key: obj.key,
size: obj.size,
uploaded: obj.uploaded,
}));
}interface Env {
A🧠 AI Agent Skills Repository - A curated collection of specialized skills for AI coding agents (Claude Code, GitHub Copilot, Cursor, Windsurf). Created by Yuval Avidani using GitHub Copilot via VS Code Insiders.
Repo: hoodini/ai-agents-skills
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