Teams App Developer
MicrosoftOfficialPublished by Microsoft
- Skill
- Tool integration
- Software development
- MIT
- Medium risk
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
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/microsoft/teams-app-developer/downloadUnzip 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
Testing Strategy: Recommend Agents Playground first (faster, no M365 needed). Use Teams workflow only if user explicitly requests it.
Environment Variables: NEVER hardcode secrets or make up placeholder values. Always ask users for real values.
Error Handling: Read error messages carefully. Check
env/.env.local,.localConfigs, andatk auth list. Common pitfalls:AADSTS7000229→aadApp/createmissinggenerateServicePrincipal: truein YAML — add it and re-provisionMissing
TENANT_IDin.localConfigs→ SDK uses wrong token authority → 401 from Bot Connector401 persists after auth fix → devtunnel URL may be blacklisted — create a fresh tunnel
See troubleshoot/troubleshoot.md for full diagnostic steps
Long-Running Commands — WAIT for completion:
atk new,atk provision,atk deploycan take several minutesAlways wait for completion before running the next step (timeout 120000ms+)
Local Service Startup — Hangs terminal (expected):
npm run dev,npm start,python app.py,devtunnel host, etc. will hang — the process keeps running indefinitelyALWAYS run as a background process (
isBackground=true) — NEVER useisBackground=falsefor these commandsDo 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
Monitor App Logs: Periodically check background terminal output for runtime errors. If the app crashes, read the error, fix the root cause, and restart.
Telemetry Tagging: Before running any
atkCLI commands, set the session environment variable so all CLI invocations are tagged as skill-initiated:export ATK_CLI_SKILL=trueRun this once at the start of the session. All subsequent
atkcommands in the same terminal will inherit it.
ATK CLI Setup
atk --version # Must be > 1.1.5-betaIf ATK is not found or version is too old:
npm i -g @microsoft/m365agentstoolkit-cli@betaCLI Global Options
| Option | Meaning | Recommendation |
|---|---|---|
-i | Interactive mode | Always use -i false in automation to avoid hanging |
-f | Project folder | Default 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. |
-h | Command help | Use atk <command> -h for quick syntax checks |
Sub-Skills
| Sub-Skill | When to Use | Reference |
|---|---|---|
| create-project | Scaffold new project from template, choose template, atk new | create-project/create-project.md |
| test-playground | Test locally with Agents Playground, agentsplayground, quick testing | test-playground/test-playground.md |
| test-teams | Run on Teams, devtunnel, sideload, Teams testing, test in Copilot | test-teams/test-teams.md |
| provision-deploy | Provision Azure resources, deploy to cloud, atk provision, atk deploy | provision-deploy/provision-deploy.md |
| troubleshoot | Fix errors, 401, port conflicts, YAML errors, stale bots | troubleshoot/troubleshoot.md |
| slack-to-teams | Migrate Slack bot to Teams, cross-platform bridging, Block Kit to Adaptive Cards | slack-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 Intent | Workflow (read in order) |
|---|---|
| Build new app from scratch | create-project → test-playground |
| Test existing project locally | test-playground (recommended) or test-teams |
| Deploy to Azure | provision-deploy |
| Fix broken bot | troubleshoot → re-test |
| Migrate Slack bot to Teams | slack-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
- ATTRIBUTION.mdAdded by AutoGineer906 B
- LICENSELicence file added by AutoGineer1.1 KiB
- SKILL.md7.6 KiB
- create-project/create-project.md8.1 KiB
- docs/README.md2.8 KiB
- docs/advanced-features.md7.0 KiB
- docs/feature-gaps.md46.3 KiB
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- experts/teams/ui.adaptive-cards-ts.md12.9 KiB
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experts/builder.md
builder
purpose
Guided workflow for creating new micro-experts — from scoping and research through drafting, validation, and wiring into the routing system.
rules
One expert, one topic. Each expert file covers a single, well-bounded topic. If the scope needs an "and" to describe it, split into two experts.
Minimum depth threshold. Only create a standalone expert if the topic warrants 8+ rules and 2+ code patterns. Below that threshold, add the knowledge to an existing expert instead.
Reusability over specificity. The expert must apply to future tasks, not just the current one-off request. If the knowledge is project-specific, it belongs in a CLAUDE.md or README, not an expert.
Research before writing. Never draft rules or patterns from memory alone. Every rule must trace to official docs, SDK source, or verified behavior. If you cannot confirm a claim, mark it
[unverified].Language-agnostic filenames when appropriate. Use
{topic}-ts.mdwhen the expert is TypeScript-specific. Use{topic}.md(no language suffix) when the expert applies regardless of language (e.g., architecture patterns, workflow guides, platform concepts).Canonical section order. Every expert MUST follow the section layout in the expert structure reference below. Omit optional sections entirely rather than leaving them empty.
Rules are imperatives, not observations. Write "Always call
ack()before async work" not "ack is important." Each rule must tell the reader exactly what to do or avoid.Patterns are minimal and self-contained. Each code snippet demonstrates one concept with all necessary imports. No "see above" references between patterns.
Pitfalls earn their place. Only include pitfalls that are non-obvious, have bitten real users, or contradict reasonable assumptions. "Don't forget to save the file" is not a pitfall.
No fabricated API signatures. If a web search yields no confirmation for an API shape, omit it or mark it
[unverified]. Wrong patterns are worse than missing patterns.Wire it or it doesn't exist. An expert that isn't reachable through the routing system (domain
index.md+ rootindex.mdsignals) will never be loaded. Integration is not optional.Keep files under 300 lines. If an expert grows beyond 300 lines, split it into focused sub-experts under the same domain.
interview
Q1 — Topic & Language
question: "What topic should this expert cover, and is it language-specific?"
header: "Topic"
options:
- label: "TypeScript-specific"
description: "Expert targets TypeScript patterns and APIs. File will be named {topic}-ts.md."
- label: "Language-agnostic"
description: "Expert covers concepts that apply across languages. File will be named {topic}.md."
- label: "You Decide Everything"
description: "Accept recommended defaults for all decisions and skip remaining questions."
multiSelect: falseQ2 — Research Depth
question: "How much research should go into this expert before drafting?"
header: "Research"
options:
- label: "Full deep research (Recommended)"
description: "Web search official docs, SDK source, and community guides for each rule and pattern. Thorough but slower."
- label: "Light research"
description: "Quick scan of official docs only. Good when you already have strong domain knowledge."
- label: "Stub only"
description: "Create the file structure with a research prompt but no content yet. Fill in later with the researcher workflow."
multiSelect: falseQ3 — Placement
question: "Where should this expert live in the folder structure?"
header: "Placement"
options:
- label: "Existing domain folder"
description: "Place in an existing domain (languages/, tools/, .project/). You'll specify which."
- label: "New domain folder"
description: "Create a new domain folder. Only if 3+ experts will belong to it and it has distinct signal words."
- label: "Root .experts/ folder"
description: "Place at the root level alongside fallback.md. For system-level utilities only."
multiSelect: falsedefaults table
| Question | Default |
|---|---|
| Q1 | TypeScript-specific ({topic}-ts.md) |
| Q2 | Full deep research |
| Q3 | Existing domain folder |
workflow
phase 1 — scope
Run the interview above (or use defaults if the developer opted out).
Confirm the topic doesn't overlap with an existing expert. Read the target domain's
index.mdfile inventory and scan for coverage.If overlap exists, recommend updating the existing expert instead and stop.
Decide the filename:
{topic}-ts.md(language-specific) or{topic}.md(language-agnostic).Decide the target folder: existing domain, new domain, or root
.experts/.
phase 2 — research
Write a Deep Research prompt for the topic. Include: SDK/platform name, key concepts, specific APIs to cover, and pattern areas.
Execute the prompt as a series of targeted web searches:
Break into discrete topics (one per API surface, concept, or pattern area).
Search each individually. Prefer official docs, SDK source, and type definitions.
For each result, capture: API signatures, parameter types, return types, defaults, and gotchas.
If interview answer was "Stub only," write the research prompt into
## researchand skip to phase 5 (integration). The expert will be a stub.If interview answer was "Light research," do a quick scan of official docs only — skip community guides and deep dives.
phase 3 — draft
Write the expert file following the canonical section layout from the expert structure reference below.
## purpose— One line. What does this expert cover?## rules— Numbered list of actionable imperatives. Minimum 8 rules for a non-stub expert. Each rule should cite its source (doc link or observed SDK behavior).## interview(optional) — Include only if the expert requires developer decisions before implementation. Follow the AskUserQuestion format shown in the expert structure reference below.## patterns— Code snippets showing canonical usage. Each snippet is self-contained with imports. Minimum 2 patterns for a non-stub expert.## pitfalls— Non-obvious mistakes, breaking changes, version gotchas.## references— URLs to official docs and SDK source used during research.## instructions— When to use this expert, what it pairs with (Pair with: {other-expert}).## research— The Deep Research prompt (preserved for future re-research).
phase 4 — validate
Run through this checklist before considering the expert done:
[ ] Minimum depth: 8+ rules, 2+ patterns (unless intentionally a stub).
[ ] Pattern isolation: Every code snippet compiles in isolation (imports included, no "see above").
[ ] No fabrication: Every API signature confirmed via research. Unverified claims marked
[unverified].[ ] File size: Under 300 lines. If over, identify split points.
[ ] Section completeness: All required sections present (
purpose,rules,instructions,research). Optional sections either fully populated or entirely absent.[ ] Rules are imperatives: Each rule tells the reader what to do/avoid, not what "is" or "exists."
[ ] Pitfalls are non-obvious: No trivial advice. Each pitfall would surprise a competent developer.
[ ] Cross-references set:
## instructionsincludesPair with:entries for related experts.
phase 5 — integrate
Wire the new expert into the routing system so it's reachable:
Domain
index.md— Open the target domain'sindex.md:Add the file to the appropriate task cluster's
Read:list (or create a new cluster with aWhen:description).Add
Depends on:/Cross-domain deps:if applicable.Add the filename to
## file inventoryin alphabetical order.
Root
index.md— Open.experts/index.md:If the new expert introduces signal words not already in the domain's
Signals:line, add them.If this is a new domain, add a full routing entry under
## routing rules.
Verify routing — Mentally trace a request that should reach this expert: root router signals → domain router → task cluster → expert file. Confirm the path is unbroken.
expert structure reference
This is the canonical section layout every expert must follow. Required sections are marked; optional sections should be omitted entirely if not needed.
# {topic}-ts | {topic} ← filename without .md
## purpose ← REQUIRED. One line.
## rules ← REQUIRED. Numbered imperatives.
## interview ← OPTIONAL. Delete if no upfront decisions needed.
### Q1 — {Decision}
(AskUserQuestion format)
### defaults table
(Required if interview exists)
## patterns ← REQUIRED for non-stubs. Code snippets.
## pitfalls ← RECOMMENDED. Non-obvious gotchas.
## references ← RECOMMENDED. Source URLs.
## instructions ← REQUIRED. When to use, Pair with.
## research ← REQUIRED. Deep Research prompt.pitfalls
Creating experts for one-off knowledge. If the topic won't come up again, don't create an expert. Add a note to the relevant domain expert or CLAUDE.md instead.
Skipping integration (phase 5). The most common failure mode. An expert that isn't wired into the routing system is invisible and will never be loaded.
Writing rules from memory without research. Even experienced developers misremember API details. Always verify against current docs — APIs change between SDK versions.
Cramming multiple topics into one file. An expert on "state management and adaptive cards and function calling" should be three experts. The scope test: can you describe it without "and"?
Empty optional sections. An empty
## pitfallssection signals the author didn't try. Either populate it with real gotchas or omit the section entirely.Forgetting the language suffix decision. A TypeScript-specific expert named
caching.md(without-ts) will confuse future users about whether it's language-agnostic. Be deliberate about the naming.
instructions
Use this expert when creating any new micro-expert file.
Trigger phrases: "create expert," "new expert," "build expert," "add expert," "make expert," "write expert."
Pair with: fallback.md (if the builder is invoked because fallback detected a knowledge gap that warrants a new expert).
research
Deep Research prompt:
"Write a meta-expert for creating micro-expert prompt files in a modular AI expert system. Cover: scoping criteria (when to create vs. update), research methodology (web search strategies for SDK docs, source code, type definitions), canonical section layout for expert files, quality validation checklists (minimum rules, pattern isolation, no fabrication), integration steps (domain router wiring, signal word updates), and common failure modes in expert authoring. Include guidance on language-agnostic vs. language-specific naming conventions."
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)
- Synced
AutoGineer is not affiliated with or endorsed by Microsoft.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download teams-app-developer.zip