Skill196 repo starsupdated 2d ago

cloudflare-agents

The Cloudflare Agents skill enables developers to build AI-powered agents that run on Cloudflare Workers with support for tool integration, multiple LLM providers (OpenAI, Anthropic, Google Gemini), and the Model Context Protocol. Use this when deploying serverless AI agents that need to execute tools, manage state, integrate with Cloudflare bindings like D1 and KV, and support real-time communication through HTTP, WebSockets, or Server-Sent Events.

View source Repository: claude-skills

Install in Claude Code

Copy

git clone --depth 1 https://github.com/secondsky/claude-skills /tmp/cloudflare-agents && cp -r /tmp/cloudflare-agents/plugins/cloudflare-agents/skills/cloudflare-agents ~/.claude/skills/cloudflare-agents

Then start a new Claude Code session; the skill loads automatically.

Definition

SKILL.md

# Cloudflare Agents

**Last Updated**: 2025-11-21

## Quick Start

```typescript
export default {
  async fetch(request, env, ctx) {
    const agent = {
      tools: [
        { name: 'getTodo', handler: async ({id}) => ({id, title: 'Task'}) }
      ],
      async run(input) {
        return await processWithLLM(input, this.tools);
      }
    };
    
    return Response.json(await agent.run(await request.text()));
  }
};
```

## Core Features

- **Tool Integration**: Register and execute tools
- **LLM Providers**: OpenAI, Anthropic, Google Gemini
- **MCP Protocol**: Model Context Protocol support
- **Cloudflare Bindings**: D1, KV, R2, Durable Objects

## Agent Pattern

```typescript
const agent = {
  tools: [...],
  systemPrompt: 'You are a helpful assistant',
  model: 'gpt-4o',
  async run(input) {
    // Process with LLM
  }
};
```

## Resources

### Core Documentation
- `references/patterns-concepts.md` (317 lines) - What is Cloudflare Agents, patterns & concepts, critical rules, known issues prevention
- `references/configuration-guide.md` (152 lines) - Complete configuration deep dive
- `references/agent-api.md` (115 lines) - Complete Agent Class API reference

### Integration Guides
- `references/http-sse-guide.md` (74 lines) - HTTP & Server-Sent Events
- `references/websockets-guide.md` (110 lines) - WebSocket integration
- `references/state-management.md` (388 lines) - State management, scheduled tasks, workflows
- `references/mcp-integration.md` (130 lines) - Model Context Protocol integration

### Advanced Features
- `references/advanced-features.md` (637 lines) - Browser automation, RAG, AI model integration, calling agents, client APIs

### Error Reference
- `references/error-catalog.md` (10 lines) - Common errors and solutions

### Templates
- `templates/basic-agent.ts` - Basic agent setup
- `templates/browser-agent.ts` - Browser automation
- `templates/calling-agents-worker.ts` - Calling other agents
- `templates/chat-agent-streaming.ts` - Streaming chat agent
- `templates/hitl-agent.ts` - Human-in-the-loop
- `templates/mcp-server-basic.ts` - MCP server integration
- `templates/rag-agent.ts` - RAG implementation
- `templates/react-useagent-client.tsx` - React client integration
- `templates/scheduled-agent.ts` - Scheduled tasks
- `templates/state-sync-agent.ts` - State synchronization
- `templates/websocket-agent.ts` - WebSocket agent
- `templates/workflow-agent.ts` - Workflows integration
- `templates/wrangler-agents-config.jsonc` - Wrangler configuration

**Official Docs**: https://developers.cloudflare.com/cloudflare-for-platforms/cloudflare-agents/