Files
cloudflare__skills/commands/build-agent.md
Sunil Pai e96fbc77bc Revamp Agents SDK docs and command guidance
Replace legacy building-* guides with a consolidated agents-sdk skill: update SKILL.md to expand capabilities and retrieval links, add multiple new reference pages (client-sdk, configuration, durable-execution, browse-the-web, human-in-the-loop, observability, queue-retries, routing, server-driven-messages, and others), and update command docs (build-agent.md, build-mcp.md) to point to the agents-sdk pages and include scaffold examples. Remove deprecated building-ai-agent-on-cloudflare and building-mcp-server-on-cloudflare content. These changes centralize documentation around the Agents SDK, add scaffold/snippet guidance, and refresh links to the live Cloudflare developer docs.
2026-04-15 08:46:50 +01:00

2.2 KiB

description, argument-hint, allowed-tools
description argument-hint allowed-tools
Build an AI agent on Cloudflare using the Agents SDK
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Build AI Agent on Cloudflare

Arguments

The user invoked this command with: $ARGUMENTS

Instructions

When this command is invoked:

  1. Read the skill file at agents-sdk/SKILL.md for core SDK guidance, APIs, and wrangler config
  2. Based on what the user wants to build, read the relevant references from agents-sdk/references/:
    • For chat/AI agents: streaming-chat.md, client-sdk.md
    • For state management: state-scheduling.md
    • For RPC methods: callable.md
    • For background work: workflows.md, durable-execution.md, queue-retries.md
    • For MCP integration: mcp.md
    • For email handling: email.md
    • For webhooks/push: webhooks-push.md
    • For approval flows: human-in-the-loop.md
    • For voice: voice.md
    • For browser tools: browse-the-web.md
    • For higher-level chat: think.md
  3. Fetch the relevant pages from https://developers.cloudflare.com/agents/ for the latest API details
  4. Always start with configuration.md and routing.md for project setup

Scaffold Steps

  1. Create project: npx create-cloudflare@latest --template cloudflare/agents-starter
  2. Configure wrangler.jsonc: DO bindings, migrations, AI binding, assets
  3. Implement agent class: extend Agent or AIChatAgent depending on use case
  4. Wire routing: routeAgentRequest in the default export
  5. Build client: useAgent + useAgentChat React hooks
  6. Deploy: npx wrangler deploy

Key Decision: Agent vs AIChatAgent vs Think

Need Use Package
Custom stateful logic, RPC, scheduling Agent agents
AI chat with streaming, tools, persistence AIChatAgent @cloudflare/ai-chat
AI chat with automatic tool loop, built-in workspace Think @cloudflare/think (experimental)

Example Usage

/build-agent a customer support chatbot with tool calling
/build-agent a real-time collaborative editor with state sync
/build-agent a background processing agent with scheduled tasks
/build-agent a voice assistant that can browse the web