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Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.
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npx skills add https://github.com/BEKO2210/Firstbrain --skill m365-agents-tsLa commande reste sur une seule ligne. Faites défiler horizontalement pour la vérifier avant de la copier.
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Affichage de SKILL.md
| name | m365-agents-ts |
| description | Microsoft 365 Agents SDK for TypeScript/Node.js. |
| type | skill |
| created | 2026-02-27T00:00:00.000Z |
| domain | productivity |
| category | developer-experience |
| risk | unknown |
| source | community |
| tags | ["skill","productivity","developer-experience","m365","agents"] |
Build enterprise agents for Microsoft 365, Teams, and Copilot Studio using the Microsoft 365 Agents SDK with Express hosting, AgentApplication routing, streaming responses, and Copilot Studio client integrations.
npm install @microsoft/agents-hosting @microsoft/agents-hosting-express @microsoft/agents-activity
npm install @microsoft/agents-copilotstudio-client
PORT=3978
AZURE_RESOURCE_NAME=<azure-openai-resource>
AZURE_API_KEY=<azure-openai-key>
AZURE_OPENAI_DEPLOYMENT_NAME=gpt-4o-mini
TENANT_ID=<tenant-id>
CLIENT_ID=<client-id>
CLIENT_SECRET=<client-secret>
COPILOT_ENVIRONMENT_ID=<environment-id>
COPILOT_SCHEMA_NAME=<schema-name>
COPILOT_CLIENT_ID=<copilot-app-client-id>
COPILOT_BEARER_TOKEN=<copilot-jwt>
import { AgentApplication, TurnContext, TurnState } from "@microsoft/agents-hosting";
import { startServer } from "@microsoft/agents-hosting-express";
const agent = new AgentApplication<TurnState>();
agent.onConversationUpdate("membersAdded", async (context: TurnContext) => {
await context.sendActivity("Welcome to the agent.");
});
agent.onMessage("hello", async (context: TurnContext) => {
await context.();
});
(agent);
import { azure } from "@ai-sdk/azure";
import { AgentApplication, TurnContext, TurnState } from "@microsoft/agents-hosting";
import { startServer } from "@microsoft/agents-hosting-express";
import { streamText } from "ai";
const agent = new AgentApplication<TurnState>();
agent.onMessage("poem", async (context: TurnContext) => {
context.streamingResponse.setFeedbackLoop(true);
context.streamingResponse.setGeneratedByAILabel(true);
context.streamingResponse.setSensitivityLabel({
type: "https://schema.org/Message",
"@type": "CreativeWork",
name: "Internal",
});
await context.streamingResponse.queueInformativeUpdate("starting a poem...");
const { fullStream } = streamText({
model: azure(process.env.AZURE_OPENAI_DEPLOYMENT_NAME || "gpt-4o-mini"),
system: "You are a creative assistant.",
prompt: "Write a poem about Apollo.",
});
try {
for await (const part of fullStream) {
if (part.type === "text-delta" && part.text.length > 0) {
await context.streamingResponse.queueTextChunk(part.text);
}
if (part.type === "error") {
throw new Error(`Streaming error: ${part.error}`);
}
}
} finally {
await context.streamingResponse.endStream();
}
});
startServer(agent);
import { Activity, ActivityTypes } from "@microsoft/agents-activity";
import { AgentApplication, TurnContext, TurnState } from "@microsoft/agents-hosting";
const agent = new AgentApplication<TurnState>();
agent.onActivity("invoke", async (context: TurnContext) => {
const invokeResponse = Activity.fromObject({
type: ActivityTypes.InvokeResponse,
value: { status: 200 },
});
await context.sendActivity(invokeResponse);
await context.sendActivity("Thanks for submitting your feedback.");
});
import { CopilotStudioClient } from "@microsoft/agents-copilotstudio-client";
const settings = {
environmentId: process.env.COPILOT_ENVIRONMENT_ID!,
schemaName: process.env.COPILOT_SCHEMA_NAME!,
clientId: process.env.COPILOT_CLIENT_ID!,
};
const tokenProvider = async (): Promise<string> => {
return process.env.COPILOT_BEARER_TOKEN!;
};
const client = new CopilotStudioClient(settings, tokenProvider);
const conversation = await client.startConversationAsync();
const reply = await client.askQuestionAsync("Hello!", conversation.id);
console.log(reply);
import { CopilotStudioWebChat } from "@microsoft/agents-copilotstudio-client";
const directLine = CopilotStudioWebChat.createConnection(client, {
showTyping: true,
});
window.WebChat.renderWebChat({
directLine,
}, document.getElementById("webchat")!);
| File | Contents |
|---|---|
| references/acceptance-criteria.md | Import paths, hosting pipeline, streaming, and Copilot Studio patterns |
| Resource | URL |
|---|---|
| Microsoft 365 Agents SDK | https://learn.microsoft.com/en-us/microsoft-365/agents-sdk/ |
| JavaScript SDK overview | https://learn.microsoft.com/en-us/javascript/api/overview/agents-overview?view=agents-sdk-js-latest |
| @microsoft/agents-hosting-express | https://learn.microsoft.com/en-us/javascript/api/%40microsoft/agents-hosting-express?view=agents-sdk-js-latest |
| @microsoft/agents-copilotstudio-client | https://learn.microsoft.com/en-us/javascript/api/%40microsoft/agents-copilotstudio-client?view=agents-sdk-js-latest |
| Integrate with Copilot Studio | https://learn.microsoft.com/en-us/microsoft-365/agents-sdk/integrate-with-mcs |
| GitHub samples | https://github.com/microsoft/Agents/tree/main/samples/nodejs |
This skill is applicable to execute the workflow or actions described in the overview.
Basé sur la classification professionnelle SOC
