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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/slack/bolt-assistant-ts.md

bolt-assistant-ts

purpose

Slack Assistant container patterns for Bolt.js — Assistant class configuration, thread lifecycle handlers (threadStarted, userMessage, threadContextChanged), utility functions (say, setStatus, setSuggestedPrompts, setTitle), and thread context storage.

rules

  1. Provide threadStarted and userMessage handlers (required). These are the minimum callbacks for an Assistant. threadContextChanged is optional and defaults to saving context via the thread context store. slack.dev/bolt-js/concepts/assistant

  2. Call setStatus() to show typing indicators. Use await setStatus("Thinking...") at the start of userMessage to show the user that processing is happening. The status clears automatically when the bot sends a reply via say(), or pass an empty string to clear manually. api.slack.com/docs/assistants

  3. Use setSuggestedPrompts() in threadStarted. Provide up to 4 preset prompts with title and message properties. This helps users discover what the assistant can do. An optional top-level title parameter labels the prompt group (defaults to "Try these prompts:"). api.slack.com/docs/assistants

  4. Use setTitle() to label conversation threads. Call setTitle(summary) after processing the first userMessage to give the thread a meaningful name in the sidebar. api.slack.com/docs/assistants

  5. Thread context is NOT included in userMessage events. The message event payload does not carry thread context. Call await getThreadContext() in userMessage handlers to retrieve the current context (channel_id, team_id, enterprise_id). slack.dev/bolt-js/concepts/assistant

  6. Use saveThreadContext() in threadStarted. The initial thread context (which channel the user was viewing) arrives in the threadStarted event. Save it immediately so userMessage handlers can retrieve it later. slack.dev/bolt-js/concepts/assistant

  7. The default AssistantThreadContextStore uses message metadata. Context is persisted by updating the bot's first message in the thread with metadata. This survives app restarts without external storage. For production, implement a custom store backed by a database. slack.dev/bolt-js/concepts/assistant

  8. Register the assistant with app.assistant(assistant). This adds middleware that intercepts assistant_thread_started, assistant_thread_context_changed, and thread messages. The middleware stops propagation — registered app.message() handlers will NOT fire for assistant threads. slack.dev/bolt-js/concepts/assistant

  9. threadContextChanged fires when the user switches channels. The updated context is in event.assistant_thread.context. The default behavior (when handler is omitted) automatically calls saveThreadContext() to persist the new context.

  10. All handlers receive the same utility set. Every handler gets: say, getThreadContext, saveThreadContext, setStatus, setSuggestedPrompts, setTitle, plus the standard client, context, and logger.

patterns

Basic assistant with suggested prompts and status
import { App, Assistant } from "@slack/bolt";

const app = new App({
  token: process.env.SLACK_BOT_TOKEN!,
  appToken: process.env.SLACK_APP_TOKEN!,
  socketMode: true,
});

const assistant = new Assistant({
  threadStarted: async ({ say, setSuggestedPrompts, saveThreadContext }) => {
    await saveThreadContext();
    await say("Hi! How can I help?");
    await setSuggestedPrompts({
      title: "Try one of these:",
      prompts: [
        { title: "Summarize", message: "Summarize this channel's recent messages" },
        { title: "Draft", message: "Help me draft a message" },
        { title: "Search", message: "Search our docs for..." },
      ],
    });
  },

  userMessage: async ({ message, say, setStatus, setTitle, getThreadContext }) => {
    await setStatus("Thinking...");

    const context = await getThreadContext();
    const channelId = context?.channel_id;
    const userText = message.text ?? "";

    // Set thread title from first message
    await setTitle(userText.slice(0, 50));

    // Business logic / AI call here...
    const answer = await generateAnswer(userText, channelId);
    await say(answer);
  },
});

app.assistant(assistant);

async function generateAnswer(text: string, channelId?: string): Promise<string> {
  return `You asked: "${text}" (from channel ${channelId ?? "unknown"})`;
}

(async () => {
  await app.start();
  console.log("Assistant is running");
})();
Custom thread context store backed by a database
import { type AssistantThreadContextStore, type AllAssistantMiddlewareArgs, type AssistantThreadContext } from "@slack/bolt";

const contextStore: AssistantThreadContextStore = {
  async get({ payload }: AllAssistantMiddlewareArgs): Promise<AssistantThreadContext> {
    const threadTs = "assistant_thread" in payload
      ? payload.assistant_thread.thread_ts
      : payload.thread_ts;
    const row = await db.query("SELECT context FROM assistant_threads WHERE thread_ts = $1", [threadTs]);
    return row?.context ?? {};
  },

  async save({ payload }: AllAssistantMiddlewareArgs): Promise<void> {
    const threadTs = "assistant_thread" in payload
      ? payload.assistant_thread.thread_ts
      : payload.thread_ts;
    const context = "assistant_thread" in payload
      ? payload.assistant_thread.context
      : {};
    await db.query(
      "INSERT INTO assistant_threads (thread_ts, context) VALUES ($1, $2) ON CONFLICT (thread_ts) DO UPDATE SET context = $2",
      [threadTs, context]
    );
  },
};

const assistant = new Assistant({
  threadContextStore: contextStore,
  threadStarted: async ({ saveThreadContext, say }) => {
    await saveThreadContext(); // uses custom store
    await say("Hello! I'm ready to help.");
  },
  userMessage: async ({ getThreadContext, say, setStatus }) => {
    await setStatus("Processing...");
    const ctx = await getThreadContext(); // reads from custom store
    await say(`Context channel: ${ctx?.channel_id}`);
  },
});
Handling context changes with custom logic
const assistant = new Assistant({
  threadStarted: async ({ saveThreadContext, say, setSuggestedPrompts }) => {
    await saveThreadContext();
    await say("I'll adapt to whatever channel you're viewing.");
    await setSuggestedPrompts({
      prompts: [
        { title: "What's happening?", message: "What's the latest in this channel?" },
      ],
    });
  },

  userMessage: async ({ getThreadContext, say, setStatus }) => {
    await setStatus("Looking up context...");
    const ctx = await getThreadContext();
    await say(`You're currently viewing <#${ctx?.channel_id ?? "unknown"}>.`);
  },

  threadContextChanged: async ({ event, saveThreadContext, logger }) => {
    const newChannel = event.assistant_thread.context?.channel_id;
    logger.info(`User switched to channel: ${newChannel}`);
    await saveThreadContext(); // persist the new context
  },
});

pitfalls

  • Forgetting saveThreadContext() in threadStarted: Without saving, getThreadContext() in userMessage returns empty/stale data. The initial context is only available in the threadStarted event.

  • Assistant middleware blocks app.message() handlers: Once app.assistant() is registered, messages in assistant threads are consumed by the Assistant middleware and do NOT propagate to app.message() listeners. Don't register duplicate handlers.

  • setSuggestedPrompts limit of 4: Passing more than 4 prompts causes the API to reject the call. Keep it to 4 or fewer.

  • Default context store requires bot to post first: The DefaultThreadContextStore saves context as metadata on the bot's first message. If threadStarted doesn't call say(), there's no message to attach metadata to, and context storage fails silently.

  • No ack() in assistant handlers: Unlike actions/commands, assistant handlers don't have an ack() function. Events are fire-and-forget from Slack's perspective.

  • message.text can be undefined: Always handle the case where message.text is undefined (e.g., when the user sends only an attachment).

references

instructions

This expert covers the Slack Assistant container for Bolt.js in TypeScript. Use it when you need to: create an AI assistant that lives in Slack's assistant panel; handle thread lifecycle events (threadStarted, userMessage, threadContextChanged); use utility functions for status indicators, suggested prompts, and thread titles; implement custom thread context stores for production persistence; and understand the middleware behavior that separates assistant threads from regular message handlers. Pair with runtime.bolt-foundations-ts.md for general Bolt app setup and ui.block-kit-ts.md for rich message formatting within assistant responses.

research

Deep Research prompt:

"Write a micro expert on the Slack Assistant container in Bolt.js TypeScript. Cover: Assistant class constructor (threadStarted, userMessage, threadContextChanged, threadContextStore), utility functions (say, setStatus, setSuggestedPrompts, setTitle, getThreadContext, saveThreadContext), AssistantThreadContextStore interface (get, save), DefaultThreadContextStore message metadata pattern, app.assistant() registration and middleware behavior, thread lifecycle event payloads, and common patterns for AI-powered assistants. Provide 2-3 canonical TypeScript examples."

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