Add 260+ Claude Code skills from skills.sh

Complete collection of AI agent skills including: - Frontend Development (Vue, React, Next.js, Three.js) - Backend Development (NestJS, FastAPI, Node.js) - Mobile Development (React Native, Expo) - Testing (E2E, frontend, webapp) - DevOps (GitHub Actions, CI/CD) - Marketing (SEO, copywriting, analytics) - Security (binary analysis, vulnerability scanning) - And many more... Synchronized from: https://skills.sh/ Co-Authored-By: Claude <noreply@anthropic.com>
2026-01-23 18:02:28 +00:00
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+---
+name: building-ai-agent-on-cloudflare
+description: |
+  Builds AI agents on Cloudflare using the Agents SDK with state management,
+  real-time WebSockets, scheduled tasks, tool integration, and chat capabilities.
+  Generates production-ready agent code deployed to Workers.
+
+  Use when: user wants to "build an agent", "AI agent", "chat agent", "stateful
+  agent", mentions "Agents SDK", needs "real-time AI", "WebSocket AI", or asks
+  about agent "state management", "scheduled tasks", or "tool calling".
+---
+
+# Building Cloudflare Agents
+
+Creates AI-powered agents using Cloudflare's Agents SDK with persistent state, real-time communication, and tool integration.
+
+## When to Use
+
+- User wants to build an AI agent or chatbot
+- User needs stateful, real-time AI interactions
+- User asks about the Cloudflare Agents SDK
+- User wants scheduled tasks or background AI work
+- User needs WebSocket-based AI communication
+
+## Prerequisites
+
+- Cloudflare account with Workers enabled
+- Node.js 18+ and npm/pnpm/yarn
+- Wrangler CLI (`npm install -g wrangler`)
+
+## Quick Start
+
+```bash
+npm create cloudflare@latest -- my-agent --template=cloudflare/agents-starter
+cd my-agent
+npm start
+```
+
+Agent runs at `http://localhost:8787`
+
+## Core Concepts
+
+### What is an Agent?
+
+An Agent is a stateful, persistent AI service that:
+- Maintains state across requests and reconnections
+- Communicates via WebSockets or HTTP
+- Runs on Cloudflare's edge via Durable Objects
+- Can schedule tasks and call tools
+- Scales horizontally (each user/session gets own instance)
+
+### Agent Lifecycle
+
+```
+Client connects → Agent.onConnect() → Agent processes messages
+                                    → Agent.onMessage()
+                                    → Agent.setState() (persists + syncs)
+Client disconnects → State persists → Client reconnects → State restored
+```
+
+## Basic Agent Structure
+
+```typescript
+import { Agent, Connection } from "agents";
+
+interface Env {
+  AI: Ai;  // Workers AI binding
+}
+
+interface State {
+  messages: Array<{ role: string; content: string }>;
+  preferences: Record<string, string>;
+}
+
+export class MyAgent extends Agent<Env, State> {
+  // Initial state for new instances
+  initialState: State = {
+    messages: [],
+    preferences: {},
+  };
+
+  // Called when agent starts or resumes
+  async onStart() {
+    console.log("Agent started with state:", this.state);
+  }
+
+  // Handle WebSocket connections
+  async onConnect(connection: Connection) {
+    connection.send(JSON.stringify({
+      type: "welcome",
+      history: this.state.messages,
+    }));
+  }
+
+  // Handle incoming messages
+  async onMessage(connection: Connection, message: string) {
+    const data = JSON.parse(message);
+
+    if (data.type === "chat") {
+      await this.handleChat(connection, data.content);
+    }
+  }
+
+  // Handle disconnections
+  async onClose(connection: Connection) {
+    console.log("Client disconnected");
+  }
+
+  // React to state changes
+  onStateUpdate(state: State, source: string) {
+    console.log("State updated by:", source);
+  }
+
+  private async handleChat(connection: Connection, userMessage: string) {
+    // Add user message to history
+    const messages = [
+      ...this.state.messages,
+      { role: "user", content: userMessage },
+    ];
+
+    // Call AI
+    const response = await this.env.AI.run("@cf/meta/llama-3-8b-instruct", {
+      messages,
+    });
+
+    // Update state (persists and syncs to all clients)
+    this.setState({
+      ...this.state,
+      messages: [
+        ...messages,
+        { role: "assistant", content: response.response },
+      ],
+    });
+
+    // Send response
+    connection.send(JSON.stringify({
+      type: "response",
+      content: response.response,
+    }));
+  }
+}
+```
+
+## Entry Point Configuration
+
+```typescript
+// src/index.ts
+import { routeAgentRequest } from "agents";
+import { MyAgent } from "./agent";
+
+export default {
+  async fetch(request: Request, env: Env) {
+    // routeAgentRequest handles routing to /agents/:class/:name
+    return (
+      (await routeAgentRequest(request, env)) ||
+      new Response("Not found", { status: 404 })
+    );
+  },
+};
+
+export { MyAgent };
+```
+
+Clients connect via: `wss://my-agent.workers.dev/agents/MyAgent/session-id`
+
+## Wrangler Configuration
+
+```toml
+name = "my-agent"
+main = "src/index.ts"
+compatibility_date = "2024-12-01"
+
+[ai]
+binding = "AI"
+
+[durable_objects]
+bindings = [{ name = "AGENT", class_name = "MyAgent" }]
+
+[[migrations]]
+tag = "v1"
+new_classes = ["MyAgent"]
+```
+
+## State Management
+
+### Reading State
+
+```typescript
+// Current state is always available
+const currentMessages = this.state.messages;
+const userPrefs = this.state.preferences;
+```
+
+### Updating State
+
+```typescript
+// setState persists AND syncs to all connected clients
+this.setState({
+  ...this.state,
+  messages: [...this.state.messages, newMessage],
+});
+
+// Partial updates work too
+this.setState({
+  preferences: { ...this.state.preferences, theme: "dark" },
+});
+```
+
+### SQL Storage
+
+For complex queries, use the embedded SQLite database:
+
+```typescript
+// Create tables
+await this.sql`
+  CREATE TABLE IF NOT EXISTS documents (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    title TEXT NOT NULL,
+    content TEXT,
+    created_at DATETIME DEFAULT CURRENT_TIMESTAMP
+  )
+`;
+
+// Insert
+await this.sql`
+  INSERT INTO documents (title, content)
+  VALUES (${title}, ${content})
+`;
+
+// Query
+const docs = await this.sql`
+  SELECT * FROM documents WHERE title LIKE ${`%${search}%`}
+`;
+```
+
+## Scheduled Tasks
+
+Agents can schedule future work:
+
+```typescript
+async onMessage(connection: Connection, message: string) {
+  const data = JSON.parse(message);
+
+  if (data.type === "schedule_reminder") {
+    // Schedule task for 1 hour from now
+    const { id } = await this.schedule(3600, "sendReminder", {
+      message: data.reminderText,
+      userId: data.userId,
+    });
+
+    connection.send(JSON.stringify({ type: "scheduled", taskId: id }));
+  }
+}
+
+// Called when scheduled task fires
+async sendReminder(data: { message: string; userId: string }) {
+  // Send notification, email, etc.
+  console.log(`Reminder for ${data.userId}: ${data.message}`);
+
+  // Can also update state
+  this.setState({
+    ...this.state,
+    lastReminder: new Date().toISOString(),
+  });
+}
+```
+
+### Schedule Options
+
+```typescript
+// Delay in seconds
+await this.schedule(60, "taskMethod", { data });
+
+// Specific date
+await this.schedule(new Date("2025-01-01T00:00:00Z"), "taskMethod", { data });
+
+// Cron expression (recurring)
+await this.schedule("0 9 * * *", "dailyTask", {});  // 9 AM daily
+await this.schedule("*/5 * * * *", "everyFiveMinutes", {});  // Every 5 min
+
+// Manage schedules
+const schedules = await this.getSchedules();
+await this.cancelSchedule(taskId);
+```
+
+## Chat Agent (AI-Powered)
+
+For chat-focused agents, extend `AIChatAgent`:
+
+```typescript
+import { AIChatAgent } from "agents/ai-chat-agent";
+
+export class ChatBot extends AIChatAgent<Env> {
+  // Called for each user message
+  async onChatMessage(message: string) {
+    const response = await this.env.AI.run("@cf/meta/llama-3-8b-instruct", {
+      messages: [
+        { role: "system", content: "You are a helpful assistant." },
+        ...this.messages,  // Automatic history management
+        { role: "user", content: message },
+      ],
+      stream: true,
+    });
+
+    // Stream response back to client
+    return response;
+  }
+}
+```
+
+Features included:
+- Automatic message history
+- Resumable streaming (survives disconnects)
+- Built-in `saveMessages()` for persistence
+
+## Client Integration
+
+### React Hook
+
+```tsx
+import { useAgent } from "agents/react";
+
+function Chat() {
+  const { state, send, connected } = useAgent({
+    agent: "my-agent",
+    name: userId,  // Agent instance ID
+  });
+
+  const sendMessage = (text: string) => {
+    send(JSON.stringify({ type: "chat", content: text }));
+  };
+
+  return (
+    <div>
+      {state.messages.map((msg, i) => (
+        <div key={i}>{msg.role}: {msg.content}</div>
+      ))}
+      <input onKeyDown={(e) => e.key === "Enter" && sendMessage(e.target.value)} />
+    </div>
+  );
+}
+```
+
+### Vanilla JavaScript
+
+```javascript
+const ws = new WebSocket("wss://my-agent.workers.dev/agents/MyAgent/user123");
+
+ws.onopen = () => {
+  console.log("Connected to agent");
+};
+
+ws.onmessage = (event) => {
+  const data = JSON.parse(event.data);
+  console.log("Received:", data);
+};
+
+ws.send(JSON.stringify({ type: "chat", content: "Hello!" }));
+```
+
+## Common Patterns
+
+See [references/agent-patterns.md](references/agent-patterns.md) for:
+- Tool calling and function execution
+- Multi-agent orchestration
+- RAG (Retrieval Augmented Generation)
+- Human-in-the-loop workflows
+
+## Deployment
+
+```bash
+# Deploy
+npx wrangler deploy
+
+# View logs
+wrangler tail
+
+# Test endpoint
+curl https://my-agent.workers.dev/agents/MyAgent/test-user
+```
+
+## Troubleshooting
+
+See [references/troubleshooting.md](references/troubleshooting.md) for common issues.
+
+## References
+
+- [references/examples.md](references/examples.md) — Official templates and production examples
+- [references/agent-patterns.md](references/agent-patterns.md) — Advanced patterns
+- [references/state-patterns.md](references/state-patterns.md) — State management strategies
+- [references/troubleshooting.md](references/troubleshooting.md) — Error solutions