Build, debug, and review Cloudflare Agents SDK applications using the agents package.
npx skills add https://github.com/jpmoya/claude-agents --skill agents-sdk-jpmoya
Please help me install this Agent Skill. Skill: agents-sdk Source: https://github.com/jpmoya/claude-agents/tree/main/skills/agents-sdk Command: npx skills add https://github.com/jpmoya/claude-agents --skill agents-sdk-jpmoya
@callable RPC methods, routing, and Wrangler configuration including Durable Object bindings and migrations. - Chat, Streaming & Clients: Guidance for AIChatAgent, resumable streaming, React hooks (useAgent, useAgentChat), server-driven messages, and human-in-the-loop approvals. - Background & Integration Workflows: References for Workflows, durable execution fibers, queues with retries, MCP client/server, email handling, webhooks, push notifications, and experimental features like Think, Voice, Codemode, and browser tools. - Use Case: You need to add a streaming chat agent with scheduled reminders to an existing Workers app. The Skill walks you through installation, wrangler.jsonc bindings, the agent class, and the React client, while flagging pitfalls like enabling experimentalDecorators. ## Quick Start Ask the agent to scaffold a Cloudflare Agents SDK chat agent with state, a callable RPC method, and the correct wrangler.jsonc Durable Object bindings.High-intent search queries and answers about installing and using this skill.
Extend AIChatAgent, install agents, @cloudflare/ai-chat, ai, and @ai-sdk/react, then implement onChatMessage with streamText. Configure a Durable Object binding and sqlite migration in wrangler.jsonc, and connect clients with the useAgentChat React hook.
Decorate agent methods with @callable() to expose them as RPC methods over WebSocket. Clients invoke them with agent.call("methodName", [args]), and streaming variants use @callable({ streaming: true }) with a StreamingResponse parameter.
Each agent class needs a Durable Object binding, a new_sqlite_classes migration entry, and the nodejs_compat compatibility flag. Never edit old migrations; add new tags for new classes, and do not enable experimentalDecorators in tsconfig since it breaks @callable.
Think handles the streamText loop, tool execution, and persistence automatically via getModel() and getSystemPrompt() overrides, but requires the experimental compatibility flag. AIChatAgent gives full control inside onChatMessage for custom streaming and tool wiring.
This error means the class_name in your wrangler.jsonc Durable Object binding does not match your exported agent class. Also verify URLs use the kebab-case class name, such as /agents/my-agent/instance-id for a class named MyAgent.
Yes, agents support one-time, cron, and interval scheduling via this.schedule and scheduleEvery, plus a built-in FIFO queue with this.queue and retries via this.retry. For durable multi-step work, use runWorkflow or runFiber to survive Durable Object eviction.
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