Skills Plugins MCP Prompt Model 博客 我的中心
Lifestyle & Tools #react #ai #agent #mcp

agents-sdk

Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks.

DeepseekModel Curated skill ★ Featured Quality Excellent · 90 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=anomalyco-opencode-packages-opencode-test-fixture-skills-agents-sdk-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name agents-sdk description Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Cloudflare Agents SDK STOP. Your knowledge of the Agents SDK may be outdated. Prefer retrieval over pre-training for any Agents SDK task. Documentation Fetch current docs from https://github.com/cloudflare/agents/tree/main/docs before implementing. Topic Doc Use for Getting started docs/getting-started.md First agent, project setup State docs/state.md setState , validateStateChange , persistence Routing docs/routing.md URL patterns, routeAgentRequest , basePath Callable methods docs/callable-methods.md @callable , RPC, streaming, timeouts Scheduling docs/scheduling.md schedule() , scheduleEvery() , cron Workflows docs/workflows.md AgentWorkflow , durable multi-step tasks HTTP/WebSockets docs/http-websockets.md Lifecycle hooks, hibernation Email docs/email.md Email routing, secure reply resolver MCP client docs/mcp-client.md Connecting to MCP servers MCP server docs/mcp-servers.md Building MCP servers with McpAgent Client SDK docs/client-sdk.md useAgent , useAgentChat , React hooks Human-in-the-loop docs/human-in-the-loop.md Approval flows, pausing workflows Resumable streaming docs/resumable-streaming.md Stream recovery on disconnect Cloudflare docs: https://developers.cloudflare.com/agents/ Capabilities The Agents SDK provides: Persistent state - SQLite-backed, auto-synced to clients Callable RPC - @callable() methods invoked over WebSocket Scheduling - One-time, recurring ( scheduleEvery ), and cron tasks Workflows - Durable multi-step background processing via AgentWorkflow MCP integration - Connect to MCP servers or build your own with McpAgent Email handling - Receive and reply to emails with secure routing Streaming chat - AIChatAgent with resumable streams React hooks - useAgent , useAgentChat for client apps FIRST: Verify Installation npm ls agents # Should show agents package If not installed: npm install agents Wrangler Configuration { "durable_objects" : { "bindings" : [ { "name" : "MyAgent" , "class_name" : "MyAgent" } ] , } , "migrations" : [ { "tag" : "v1" , "new_sqlite_classes" : [ "MyAgent" ] } ] , } Agent Class import { Agent , routeAgentRequest, callable } from "agents" type State = { count : number } export class Counter extends Agent < Env , State > { initialState = { count : 0 } // Validation hook - runs before state persists (sync, throwing rejects the update) validateStateChange ( nextState : State , source : Connection | "server" ) { if (nextState. count < 0 ) throw new Error ( "Count cannot be negative" ) } // Notification hook - runs after state persists (async, non-blocking) onStateUpdate ( state : State , source : Connection | "server" ) { console . log ( "State updated:" , state) } @callable () increment ( ) { this . setState ({ count : this . state . count + 1 }) return this . state . count } } export default { fetch : ( req, env ) => routeAgentRequest (req, env) ?? new Response ( "Not found" , { status : 404 }), } Routing Requests route to /agents/{agent-name}/{instance-name} : Class URL Counter /agents/counter/user-123 ChatRoom /agents/chat-room/lobby Client: useAgent({ agent: "Counter", name: "user-123" }) Core APIs Task API Read state this.state.count Write state this.setState({ count: 1 }) SQL query this.sql`SELECT * FROM users WHERE id = ${id}` Schedule (delay) await this.schedule(60, "task", payload) Schedule (cron) await this.schedule("0 * * * *", "task", payload) Schedule (interval) await this.scheduleEvery(30, "poll") RPC method @callable() myMethod() { ... } Streaming RPC @callable({ streaming: true }) stream(res) { ... } Start workflow await this.runWorkflow("ProcessingWorkflow", params) React Client import { useAgent } from "agents/react" function App ( ) { const [state, setLocalState] = useState ({ count : 0 }) const agent = useAgent ({ agent : "Counter" , name : "my-instance" , onStateUpdate : ( newState ) => setLocalState (newState), onIdentity : ( name, agentType ) => console . log ( `Connected to ${name} ` ), }) return < button onClick = {() => agent.setState({ count: state.count + 1 })}>Count: {state.count} </ button > } References references/workflows.md - Durable Workflows integration references/callable.md - RPC methods, streaming, timeouts references/state-scheduling.md - State persistence, scheduling references/streaming-chat.md - AIChatAgent, resumable streams references/mcp.md - MCP server integration references/email.md - Email routing and handling references/codemode.md - Code Mode (experimental)
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

验证码 --

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。