Build stateful AI agents on Cloudflare Workers with persistent state, RPC methods, scheduling, and workflow orchestration.
Works with
Core features include SQLite-backed state management, callable RPC methods via @callable() , one-time and recurring task scheduling, and durable multi-step workflows
Supports MCP server integration (both client and server modes), email routing with secure replies, and streaming chat with resumable streams on disconnect
Includes React hooks ( useAgent , useAgentCh
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionagents-sdkExecute the skills CLI command in your project's root directory to begin installation:
Fetches agents-sdk from cloudflare/skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate agents-sdk. Access via /agents-sdk in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Your knowledge of the Agents SDK may be outdated. Prefer retrieval over pre-training for any Agents SDK task.
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 |
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/
The Agents SDK provides:
@callable() methods invoked over WebSocketscheduleEvery), and cron tasksAgentWorkflowMcpAgentAIChatAgent with resumable streamsuseAgent, useAgentChat for client appsnpm ls agents # Should show agents package
If not installed:
npm install agents
{
"durable_objects": {
"bindings": [{ "name": "MyAgent", "class_name": "MyAgent" }]
},
"migrations": [{ "tag": "v1", "new_sqlite_classes": ["MyAgent"] }]
}
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 })
};
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" })
| 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) |
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>
);
}
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
We added agents-sdk from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: agents-sdk is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: agents-sdk is focused, and the summary matches what you get after install.
agents-sdk is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: agents-sdk is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in agents-sdk — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
agents-sdk has been reliable in day-to-day use. Documentation quality is above average for community skills.
agents-sdk has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in agents-sdk — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in agents-sdk — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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