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Teams App Developer

MicrosoftOfficialPublished by Microsoft

  • Skill
  • Tool integration
  • Software development
  • MIT
  • Medium risk

From the author

Builds, tests, and deploys Microsoft 365 apps and agents for Teams and Copilot. Includes sub-skills for project creation, local testing, cloud deployment, troubleshooting, and Slack-to-Teams migration. USE FOR: Teams agent, bot, tab, message extension, Declarative Agents, Custom Engine Agents, local testing, Agents Playground, Azure resource provision, remote deployment, Slack to Teams migration, cross-platform bot development, Block Kit to Adaptive Cards conversion. DO NOT USE FOR: general web development, non-bot/non-Teams projects.
— the description by Microsoft

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The teams-app-developer skill provides a structured framework for managing the lifecycle of Microsoft 365 agents and Teams applications. It leverages the ATK CLI to handle project scaffolding, local testing via the Agents Playground, cloud provisioning on Azure, and troubleshooting. The skill includes specialized guidance for migrating Slack bots to Teams, including converting Block Kit UI to Adaptive Cards, and provides access to an extensive library of micro-expert documentation for cross-platform development.

What it does

  • Scaffolds new Microsoft 365 agents and Teams applications from templates.
  • Facilitates local testing using the Agents Playground or Teams-specific environments.
  • Automates Azure resource provisioning and cloud deployment workflows.
  • Provides diagnostic procedures for common authentication and configuration errors.
  • Supports migration of Slack bots to the Teams platform.
  • Manages project configuration and environment variables for ATK-based projects.

When to use it

  • When starting a new Teams app, bot, or Declarative Agent project.
  • When you need to test an agent locally before deploying to the cloud.
  • When migrating existing Slack bots to the Microsoft Teams ecosystem.
  • When troubleshooting deployment or authentication issues in a Teams project.
  • When you need to provision Azure infrastructure for a Teams application.

Advantages

  • Streamlines the development lifecycle with standardized CLI commands.
  • Reduces development time by offering a local testing playground.
  • Provides expert-level guidance for complex cross-platform migrations.
  • Ensures consistent configuration management across development environments.
  • Includes robust error-handling protocols for common platform-specific pitfalls.

Usage examples

“Create a new Teams bot project using the default template.”
The agent will initialize a new project folder, configure the necessary YAML files, and guide you through the initial setup using the ATK CLI.
“How do I migrate my Slack bot to Microsoft Teams?”
The agent will initiate the slack-to-teams workflow, providing access to cross-platform bridging experts and guidance on converting UI components.
“My Teams bot is returning a 401 error, how do I fix it?”
The agent will trigger the troubleshooting workflow, checking your environment variables, tunnel status, and authentication configuration.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/microsoft/teams-app-developer/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip teams-app-developer.zip -d .agents/skills

Documentation by Microsoft

Microsoft 365 Agents Toolkit Skill

Build Microsoft 365 agents and Teams apps using the ATK CLI.

AI Behavior Guidelines

  1. Testing Strategy: Recommend Agents Playground first (faster, no M365 needed). Use Teams workflow only if user explicitly requests it.

  2. Environment Variables: NEVER hardcode secrets or make up placeholder values. Always ask users for real values.

  3. Error Handling: Read error messages carefully. Check env/.env.local, .localConfigs, and atk auth list. Common pitfalls:

    • AADSTS7000229 → aadApp/create missing generateServicePrincipal: true in YAML — add it and re-provision

    • Missing TENANT_ID in .localConfigs → SDK uses wrong token authority → 401 from Bot Connector

    • 401 persists after auth fix → devtunnel URL may be blacklisted — create a fresh tunnel

    • See troubleshoot/troubleshoot.md for full diagnostic steps

  4. Long-Running Commands — WAIT for completion:

    • atk new, atk provision, atk deploy can take several minutes

    • Always wait for completion before running the next step (timeout 120000ms+)

  5. Local Service Startup — Hangs terminal (expected):

    • npm run dev, npm start, python app.py, devtunnel host, etc. will hang — the process keeps running indefinitely

    • ALWAYS run as a background process (isBackground=true) — NEVER use isBackground=false for these commands

    • Do NOT wait for it to "finish" — verify startup by checking output for "listening on port" or tunnel URL

    • If errors appear, read logs, diagnose, fix, restart

    • Use a NEW terminal to launch Agents Playground or open Teams sideloading URL

  6. Monitor App Logs: Periodically check background terminal output for runtime errors. If the app crashes, read the error, fix the root cause, and restart.

  7. Telemetry Tagging: Before running any atk CLI commands, set the session environment variable so all CLI invocations are tagged as skill-initiated:

    export ATK_CLI_SKILL=true

    Run this once at the start of the session. All subsequent atk commands in the same terminal will inherit it.

ATK CLI Setup

atk --version  # Must be > 1.1.5-beta

If ATK is not found or version is too old:

npm i -g @microsoft/m365agentstoolkit-cli@beta

CLI Global Options

OptionMeaningRecommendation
-iInteractive modeAlways use -i false in automation to avoid hanging
-fProject folderDefault to be current directory, used when specifying a custom folder. When scaffolding a new project, this is the parent folder where the project folder will be created under.
-hCommand helpUse atk <command> -h for quick syntax checks

Sub-Skills

Sub-SkillWhen to UseReference
create-projectScaffold new project from template, choose template, atk newcreate-project/create-project.md
test-playgroundTest locally with Agents Playground, agentsplayground, quick testingtest-playground/test-playground.md
test-teamsRun on Teams, devtunnel, sideload, Teams testing, test in Copilottest-teams/test-teams.md
provision-deployProvision Azure resources, deploy to cloud, atk provision, atk deployprovision-deploy/provision-deploy.md
troubleshootFix errors, 401, port conflicts, YAML errors, stale botstroubleshoot/troubleshoot.md
slack-to-teamsMigrate Slack bot to Teams, cross-platform bridging, Block Kit to Adaptive Cardsslack-to-teams/SKILL.md

MANDATORY: Before executing any workflow, read the corresponding sub-skill document.

Shared References

  • manifest-and-yaml.md — Project files, YAML config, env vars, .localConfigs flow

  • commands.md — ATK CLI commands: package, validate, share, collaborate

  • templates.md — Complete template catalog with language support

  • experts/ — 100+ micro-expert files: Teams SDK, Slack SDK, cross-platform bridging, deploy, AI models, security, language conversion

  • docs/ — Platform comparison guides: UI, messaging, identity, infrastructure, feature gaps

Workflow Chains

Match user intent to the smallest valid workflow.

User IntentWorkflow (read in order)
Build new app from scratchcreate-project → test-playground
Test existing project locallytest-playground (recommended) or test-teams
Deploy to Azureprovision-deploy
Fix broken bottroubleshoot → re-test
Migrate Slack bot to Teamsslack-to-teams

MANDATORY: Before executing any slack-to-teams workflow, read slack-to-teams/SKILL.md first. The sub-skill contains a routed expert system with 100+ micro-expert files for cross-platform bot development.

ATK Project Context Resolution

Resolve config values only when missing. If a value is already known in the session, reuse it.

Step 1: Detect ATK Project

If m365agentstoolkit*.yml exists in the current folder, treat it as an ATK project and parse configuration.

Step 2: Resolve Common Configuration

Resolve variables referenced in m365agentstoolkit*.yml. Common variables: AZURE_OPENAI_API_KEY AZURE_OPENAI_ENDPOINT AZURE_OPENAI_DEPLOYMENT_NAME

Step 3: Collect Missing Values

If required values are missing, ask the user for only the missing ones.

Refer to manifest-and-yaml.md for full config-file details.

Files

experts/bridge/scheduling-deferred-send-ts.md

scheduling-deferred-send-ts

purpose

Bridges Slack scheduling (chat.scheduleMessage, reminders) and Teams deferred delivery patterns for cross-platform bots targeting Slack, Teams, or both.

rules

  1. Slack chat.scheduleMessage has NO Teams equivalent. Teams has no built-in scheduled message API. Replace with: store the message + target time in persistent storage, then use a timer mechanism to send proactively at the scheduled time via app.send(conversationId, message). learn.microsoft.com -- Proactive messages

  2. Slack chat.deleteScheduledMessage → delete from your own storage/queue. Since scheduled messages are self-managed in Teams, cancellation is simply removing the pending item from your storage (database row, queue message, cron job). No platform API call needed. github.com/microsoft/teams.ts

  3. Slack reminders.add → persistent storage + background poll + proactive send. Slack reminders are platform-managed with DM delivery. In Teams, the bot must: (a) store the reminder with target user/time, (b) poll or use a timer to detect due reminders, (c) send a proactive message to the user's 1:1 chat. learn.microsoft.com -- Proactive messages

  4. In-process timers (node-cron, setTimeout) are for development only. node-cron or setTimeout work for local dev and single-instance deployments. They are NOT durable — a process restart loses all scheduled items. Never use in-process timers for production scheduled messages. npmjs.com/node-cron

  5. Azure Functions timer trigger provides durable serverless scheduling. Create a timer-triggered function that polls your database for due messages and sends them proactively. The CRON expression configures frequency (e.g., "0 */1 * * * *" for every minute). Azure manages the timer lifecycle across restarts. learn.microsoft.com -- Timer trigger

  6. Azure Queue Storage with visibility timeout enables exact-time scheduling. Enqueue a message with visibilityTimeout set to the delay duration. The message becomes visible at the target time, triggering a queue-triggered function that sends the proactive message. Maximum visibility timeout is 7 days. learn.microsoft.com -- Queue trigger

  7. Azure Service Bus scheduled messages support exact-time delivery. ServiceBusSender.scheduleMessages(message, scheduledEnqueueTimeUtc) enqueues with a future delivery time. No polling needed — Service Bus delivers at the exact time. Supports cancellation via cancelScheduledMessage(sequenceNumber). Best for high-volume scheduled sends. learn.microsoft.com -- Service Bus scheduling

  8. Power Automate "Recurrence" trigger is a no-code alternative. For simple recurring messages (daily standup reminder, weekly digest), a Power Automate flow with a Recurrence trigger can send messages via the bot's webhook or Graph API without code. Good for business users managing their own schedules. learn.microsoft.com -- Power Automate Recurrence

  9. Store conversation references at install time for proactive messaging. All scheduled/reminder sends require a valid conversation reference (including serviceUrl). Capture and persist the reference in the install.add handler. Without it, the bot cannot send proactive messages at scheduled time. learn.microsoft.com -- Conversation reference

  10. Rate limiting applies to bulk scheduled sends. Teams limits bots to ~1 message/second per conversation and ~30 messages/minute per conversation. If many scheduled messages are due at the same time (e.g., "send daily digest to 500 users at 9 AM"), implement a send queue with concurrency control and staggered delivery. learn.microsoft.com -- Rate limits

  11. Reverse direction (Teams → Slack): For Teams → Slack, this is simpler — Slack has native chat.scheduleMessage and reminders.add APIs. Timer-based infrastructure (Azure Functions, Queue Storage, Service Bus) can be replaced with direct Slack API calls. Map proactive send patterns to chat.scheduleMessage with a post_at Unix timestamp. Map Power Automate recurrence flows to Slack Workflow Builder scheduled triggers or reminders.add for user-facing reminders.

patterns

node-cron + proactive messaging (development / single-instance)

Slack (before):

import { App } from "@slack/bolt";

const app = new App({
  token: process.env.SLACK_BOT_TOKEN!,
  signingSecret: process.env.SLACK_SIGNING_SECRET!,
});

// Schedule a message for 30 minutes from now
app.command("/remind", async ({ ack, command, client }) => {
  await ack();
  const postAt = Math.floor(Date.now() / 1000) + 30 * 60;
  const result = await client.chat.scheduleMessage({
    channel: command.channel_id,
    text: command.text,
    post_at: postAt,
  });
  await client.chat.postMessage({
    channel: command.channel_id,
    text: `Reminder set! ID: ${result.scheduled_message_id}`,
  });
});

// Cancel a scheduled message
app.command("/cancel-remind", async ({ ack, command, client }) => {
  await ack();
  await client.chat.deleteScheduledMessage({
    channel: command.channel_id,
    scheduled_message_id: command.text.trim(),
  });
  await client.chat.postMessage({
    channel: command.channel_id,
    text: "Reminder cancelled.",
  });
});

Teams (after) — node-cron for dev:

import { App } from "@microsoft/teams.apps";
import { ConsoleLogger } from "@microsoft/teams.common";
import cron from "node-cron";

const app = new App({
  logger: new ConsoleLogger("my-bot", { level: "info" }),
});

// In-memory store (replace with database in production)
const scheduledMessages = new Map<string, {
  conversationId: string;
  text: string;
  sendAt: Date;
  cronTask?: cron.ScheduledTask;
}>();

// Store conversation references at install time
const conversationRefs = new Map<string, any>();

app.on("install.add", async ({ activity }) => {
  const convId = activity.conversation?.id ?? "";
  conversationRefs.set(convId, {
    conversationId: convId,
    serviceUrl: (activity as any).serviceUrl,
  });
});

// Schedule a reminder
app.message(/^\/?remind (.+)$/i, async ({ send, activity }) => {
  const text = activity.text?.replace(/^\/?remind\s+/i, "") ?? "";
  const convId = activity.conversation?.id ?? "";
  const id = `rem_${Date.now()}`;
  const sendAt = new Date(Date.now() + 30 * 60_000); // 30 min from now

  scheduledMessages.set(id, { conversationId: convId, text, sendAt });

  // Schedule with node-cron (NOT durable — dev only)
  const task = cron.schedule(
    cronFromDate(sendAt),
    async () => {
      await app.send(convId, text);
      scheduledMessages.delete(id);
      task.stop();
    },
    { scheduled: true }
  );

  scheduledMessages.get(id)!.cronTask = task;
  await send(`Reminder set for ${sendAt.toISOString()}. ID: ${id}`);
});

// Cancel a reminder
app.message(/^\/?cancel-remind (\S+)$/i, async ({ send, activity }) => {
  const id = activity.text?.match(/cancel-remind\s+(\S+)/i)?.[1] ?? "";
  const item = scheduledMessages.get(id);
  if (item) {
    item.cronTask?.stop();
    scheduledMessages.delete(id);
    await send("Reminder cancelled.");
  } else {
    await send("Reminder not found.");
  }
});

function cronFromDate(date: Date): string {
  return `${date.getMinutes()} ${date.getHours()} ${date.getDate()} ${date.getMonth() + 1} *`;
}

app.start(3978);
Azure Functions timer + Cosmos DB (production)

Timer-triggered function (polls for due messages):

// src/functions/sendScheduledMessages.ts
import { app as azFunc, InvocationContext, Timer } from "@azure/functions";
import { CosmosClient } from "@azure/cosmos";

const cosmos = new CosmosClient(process.env.COSMOS_CONNECTION!);
const container = cosmos.database("botdb").container("scheduled-messages");

// Runs every minute — checks for due scheduled messages
azFunc.timer("sendScheduledMessages", {
  schedule: "0 */1 * * * *", // every minute
  handler: async (timer: Timer, context: InvocationContext) => {
    const now = new Date().toISOString();

    // Query for messages due now or overdue
    const { resources: dueMessages } = await container.items
      .query({
        query: "SELECT * FROM c WHERE c.sendAt <= @now AND c.status = 'pending'",
        parameters: [{ name: "@now", value: now }],
      })
      .fetchAll();

    for (const msg of dueMessages) {
      try {
        // Send proactive message via Teams bot
        // In practice, import your Teams app instance and call app.send()
        await sendProactiveMessage(msg.conversationId, msg.text, msg.serviceUrl);

        // Mark as sent
        await container.item(msg.id, msg.conversationId).replace({
          ...msg,
          status: "sent",
          sentAt: new Date().toISOString(),
        });
      } catch (err) {
        context.error(`Failed to send scheduled message ${msg.id}:`, err);
        // Mark as failed for retry
        await container.item(msg.id, msg.conversationId).replace({
          ...msg,
          status: "failed",
          error: String(err),
        });
      }
    }

    context.log(`Processed ${dueMessages.length} scheduled messages.`);
  },
});

async function sendProactiveMessage(conversationId: string, text: string, serviceUrl: string) {
  // Use Bot Framework REST API or your Teams app instance
  // POST to {serviceUrl}/v3/conversations/{conversationId}/activities
  const response = await fetch(`${serviceUrl}/v3/conversations/${conversationId}/activities`, {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      Authorization: `Bearer ${await getBotToken()}`,
    },
    body: JSON.stringify({
      type: "message",
      text,
    }),
  });
  if (!response.ok) throw new Error(`HTTP ${response.status}`);
}

async function getBotToken(): Promise<string> {
  // Obtain token via client credentials flow
  return "...";
}

Scheduling endpoint (called from the bot handler):

// In your bot handler — schedule a message
app.message(/^\/?remind (.+)$/i, async ({ send, activity }) => {
  const text = activity.text?.replace(/^\/?remind\s+/i, "") ?? "";
  const convId = activity.conversation?.id ?? "";
  const sendAt = new Date(Date.now() + 30 * 60_000);

  // Persist to Cosmos DB — timer function will pick it up
  await container.items.create({
    id: `rem_${Date.now()}`,
    conversationId: convId,
    serviceUrl: (activity as any).serviceUrl,
    text,
    sendAt: sendAt.toISOString(),
    status: "pending",
    createdBy: activity.from?.aadObjectId,
  });

  await send(`Reminder set for ${sendAt.toISOString()}.`);
});
Azure Service Bus scheduled messages (R7 — production, exact-time)

The most production-ready approach for exact-time delivery with native cancellation support.

import { ServiceBusClient } from "@azure/service-bus";

const sbClient = new ServiceBusClient(process.env.SERVICEBUS_CONNECTION!);
const sender = sbClient.createSender("scheduled-messages");

// Schedule a message for exact-time delivery
async function scheduleMessage(
  conversationId: string, text: string, sendAt: Date
): Promise<Long> {
  const [sequenceNumber] = await sender.scheduleMessages(
    { body: { conversationId, text } },
    sendAt
  );
  return sequenceNumber; // store this for cancellation
}

// Cancel a scheduled message
async function cancelScheduled(sequenceNumber: Long): Promise<void> {
  await sender.cancelScheduledMessages(sequenceNumber);
}

// Receiver (runs as a separate process or Azure Function)
const receiver = sbClient.createReceiver("scheduled-messages");
receiver.subscribe({
  processMessage: async (msg) => {
    const { conversationId, text } = msg.body;
    await app.send(conversationId, text);
  },
  processError: async (err) => console.error(err),
});

Bot handler integration:

app.message(/^\/?schedule (.+) at (.+)$/i, async ({ send, activity }) => {
  const match = activity.text?.match(/schedule (.+) at (.+)/i);
  const text = match?.[1] ?? "";
  const sendAt = new Date(match?.[2] ?? "");
  const convId = activity.conversation?.id ?? "";

  const seqNum = await scheduleMessage(convId, text, sendAt);
  // Store seqNum in database for cancellation
  await send(`Scheduled for ${sendAt.toISOString()}. Cancel ID: ${seqNum}`);
});

When to use Service Bus vs other approaches:

  • Service Bus: High-volume, exact-time delivery, native cancellation. Best overall.

  • Queue Storage: Simple delays under 7 days. Cheaper. No native cancellation.

  • Cosmos DB + Timer: Unlimited delay. Minute-level precision. Most flexible.

Reverse (Teams → Slack): Use chat.scheduleMessage({ channel, text, post_at }) natively.

Scheduling approach comparison
ApproachDurabilityPrecisionMax DelayCancellationBest For
setTimeout / node-cronNone (lost on restart)~1 secUnlimitedIn-memoryDev only
Azure Functions timerDurable~1 min (poll interval)UnlimitedDelete DB rowGeneral production
Queue Storage visibility timeoutDurable~seconds7 daysDelete queue messageShort delays, simple
Service Bus scheduled messagesDurable~secondsUnlimitedcancelScheduledMessage()High-volume, exact-time
Power Automate RecurrenceDurable~1 minUnlimitedDisable flowNo-code recurring

pitfalls

  • In-process timers are not durable: setTimeout and node-cron lose all scheduled items on process restart, deployment, or scaling event. Never use for production. This is the #1 migration failure — developers assume their timer survives restarts like Slack's scheduleMessage.

  • Missing conversation reference at send time: Proactive messaging requires a valid serviceUrl and conversationId stored at install time. If the bot hasn't stored these, it cannot send scheduled messages. Always persist conversation references in the install.add handler.

  • Rate limiting on bulk sends: Sending 500 scheduled messages at 9:00 AM will hit the ~1 msg/sec/conversation limit. Implement a staggered send queue with delays between messages. Service Bus or Queue Storage with staggered visibility timeouts helps distribute load.

  • Timer function CRON precision: Azure Functions timer triggers run at CRON intervals (e.g., every minute), not at exact timestamps. A message scheduled for 9:00:30 may not send until 9:01:00. For higher precision, use Queue Storage visibility timeout or Service Bus scheduled messages.

  • Queue Storage 7-day visibility timeout limit: Messages with visibility timeout > 7 days silently default to 7 days. For long-horizon scheduling (weeks/months), use a database + timer function approach instead.

  • Power Automate requires premium license for custom connectors: Sending via the bot's API requires a custom connector or HTTP action in Power Automate, which may need a premium license depending on the organization's plan.

references

instructions

Use this expert when adding cross-platform support in either direction for scheduled messages, reminders, and deferred delivery. It covers: Slack chat.scheduleMessage bridged to Teams timer + proactive send, reminders.add bridged to persistent storage patterns, in-process timers (dev), Azure Functions timer triggers (production), Queue Storage visibility timeout, Service Bus scheduled messages, Power Automate Recurrence, rate limiting for bulk sends, conversation reference storage requirements, and reverse mapping from Teams deferred patterns back to Slack native scheduling APIs. Pair with ../teams/runtime.proactive-messaging-ts.md for proactive messaging infrastructure, ../teams/state.storage-patterns-ts.md for persisting scheduled items, and slack-interactive-responses-to-teams-ts.md for deferred response patterns.

research

Deep Research prompt:

"Write a micro expert for bridging Slack scheduled messages (chat.scheduleMessage, chat.deleteScheduledMessage) and reminders (reminders.add) with Microsoft Teams deferred delivery patterns in either direction. Cover: proactive messaging with stored conversation references, in-process timers (node-cron/setTimeout) for dev, Azure Functions timer trigger for production, Queue Storage visibility timeout, Service Bus scheduled messages, Power Automate Recurrence, rate limiting for bulk sends, cancellation patterns, and reverse mapping from Teams deferred infrastructure back to Slack native scheduling APIs. Include TypeScript code examples and a comparison table."

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an API key, Needs Python, Needs Node.js

Security

What our scanner noticed· Medium risk

  • Possible data-exfiltration endpoints
  • Instructions that use the network
  • Downloads piped into a shell

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
Microsoft
Publisher
Microsoft (Official)
Source
microsoft/skills · .github/plugins/microsoft-365-agents-toolkit/skills/teams-app-developer · commit 0696600
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download teams-app-developer.zip