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You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or planning anything new, in software or out of it (a talk, a business, a renovation).
microsoft-teamsBuild bots, automate workflows, and manage Microsoft Teams programmatically via Microsoft Graph API. Use when someone asks to "build a Teams bot", "automate Teams messages", "create Teams channels", "integrate with Teams", "Teams webhook", "send Teams notifications", "manage Teams meetings", or "Teams app development". Covers Graph API for messaging, channe…
Independent GitHub snapshot · Automated classification · Original documentation governs
This skill helps AI agents build integrations with Microsoft Teams — from simple webhook notifications to full-featured bots and workflow automation. It covers the Microsoft Graph API for team/channel/message management, Bot Framework for conversational bots, incoming webhooks for quick notifications, Adaptive Cards for rich UI, and meeting automation.
| Need | Solution | Complexity |
|---|---|---|
| Send notifications to a channel | Incoming Webhook | Low |
| Read/write messages, manage teams | Graph API | Medium |
| Interactive bot (commands, dialogs) | Bot Framework | High |
| No-code automation | Power Automate | Low |
const WEBHOOK_URL = process.env.TEAMS_WEBHOOK_URL;
// Simple text
await fetch(WEBHOOK_URL, {
method: 'POST', headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ text: '**Production Alert**: CPU at 95% on api-server-01' }),
});
// Adaptive Card (rich formatting)
await fetch(WEBHOOK_URL, {
method: 'POST', headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
type: 'message',
attachments: [{
contentType: 'application/vnd.microsoft.card.adaptive',
content: {
type: 'AdaptiveCard', version: '1.5',
body: [
{ type: 'TextBlock', text: 'Deployment Complete', weight: 'Bolder', size: 'Large' },
{ type: 'FactSet', facts: [
{ title: 'Service', value: 'api-gateway' },
{ title: 'Version', value: 'v2.4.1' },
{ title: 'Environment', value: 'Production' },
]},
],
actions: [{ type: 'Action.OpenUrl', title: 'View Dashboard', url: 'https://grafana.example.com' }],
},
}],
}),
});
import { ClientSecretCredential } from '@azure/identity';
import { Client } from '@microsoft/microsoft-graph-client';
import { TokenCredentialAuthenticationProvider } from '@microsoft/microsoft-graph-client/authProviders/azureTokenCredentials';
// Permissions: Team.ReadBasic.All, ChannelMessage.Send, Chat.ReadWrite.All, OnlineMeetings.ReadWrite.All
const credential = new ClientSecretCredential(
process.env.AZURE_TENANT_ID, process.env.AZURE_CLIENT_ID, process.env.AZURE_CLIENT_SECRET
);
const authProvider = new TokenCredentialAuthenticationProvider(credential, {
scopes: ['https://graph.microsoft.com/.default'],
});
const graphClient = Client.initWithMiddleware({ authProvider });
// Create channel
await graphClient.api(`/teams/${teamId}/channels`).post({
displayName: 'Project Alpha', membershipType: 'standard',
});
// Send message with Adaptive Card
await graphClient.api(`/teams/${teamId}/channels/${channelId}/messages`).post({
body: { contentType: 'html', content: '' },
attachments: [{
id: '1', contentType: 'application/vnd.microsoft.card.adaptive',
content: JSON.stringify({
type: 'AdaptiveCard', version: '1.5',
body: [
{ type: 'TextBlock', text: 'PR #142: Add payment retry logic', weight: 'Bolder' },
{ type: 'FactSet', facts: [{ title: 'Author', value: 'Sarah Chen' }, { title: 'Tests', value: 'All passing' }] },
],
actions: [{ type: 'Action.OpenUrl', title: 'Review PR', url: 'https://github.com/org/repo/pull/142' }],
}),
}],
});
// Create online meeting
const meeting = await graphClient.api(`/users/${organizerId}/onlineMeetings`).post({
subject: 'Sprint Planning',
startDateTime: '2026-03-01T14:00:00Z', endDateTime: '2026-03-01T15:00:00Z',
participants: { attendees: [{ upn: 'sarah@example.com', role: 'attendee' }] },
});
console.log('Join URL:', meeting.joinUrl);
import { ActivityHandler, TurnContext, CardFactory } from 'botbuilder';
import { BotFrameworkAdapter } from 'botbuilder';
import express from 'express';
class TeamBot extends ActivityHandler {
constructor() {
super();
this.onMessage(async (context: TurnContext, next) => {
const text = context.activity.text?.trim().toLowerCase();
if (text === 'status') {
const card = CardFactory.adaptiveCard({
type: 'AdaptiveCard', version: '1.5',
body: [
{ type: 'TextBlock', text: 'System Status', weight: 'Bolder', size: 'Large' },
{ type: 'FactSet', facts: [
{ title: 'API', value: 'Healthy (42ms)' },
{ title: 'Database', value: 'Healthy (8ms)' },
{ title: 'Queue', value: 'High (1,247 pending)' },
]},
],
});
await context.sendActivity({ attachments: [card] });
} else {
await context.sendActivity('Commands: `status` — system health, `deploy <service>` — deploy');
}
await next();
});
this.onMembersAdded(async (context, next) => {
for (const member of context.activity.membersAdded) {
if (member.id !== context.activity.recipient.id)
await context.sendActivity(`Welcome, ${member.name}! Type \`help\` to see what I can do.`);
}
await next();
});
}
}
const adapter = new BotFrameworkAdapter({
appId: process.env.MICROSOFT_APP_ID, appPassword: process.env.MICROSOFT_APP_PASSWORD,
});
const bot = new TeamBot();
const app = express();
app.post('/api/messages', (req, res) => adapter.process(req, res, (ctx) => bot.run(ctx)));
app.listen(3978);
User prompt: "Send a rich notification to our Teams DevOps channel whenever a deployment completes, showing the service name, version, environment, and a link to Grafana."
The agent will:
TextBlock header, a FactSet showing service/version/environment/time, and an Action.OpenUrl button linking to the Grafana dashboardUser prompt: "Create a Teams bot that responds to 'status' with a system health card showing API, database, and queue metrics pulled from our monitoring endpoints."
The agent will:
BotFrameworkAdapter and an Express server on port 3978onMessage handler that checks for the status commandFactSet and status indicatorsonMembersAdded in bots — send welcome message with capabilities$batch endpoint) to reduce API calls