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/bridge/shortcuts-extensions-ts.md17.5 KiB
- experts/bridge/transport-socketmode-https-ts.md14.3 KiB
- experts/bridge/ui-app-home-personal-tab-ts.md14.5 KiB
- experts/bridge/ui-block-kit-adaptive-cards-ts.md21.5 KiB
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- experts/bridge/workflow.composable-platform-ts.md13.7 KiB
- experts/bridge/workflows-automation-ts.md14.3 KiB
- experts/builder.md11.1 KiB
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- experts/convert/dependency-mapping-ts.md8.3 KiB
- experts/convert/index.md3.5 KiB
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- experts/teams/a2a.client-basics-ts.md9.7 KiB
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- experts/teams/runtime.manifest-ts.md12.3 KiB
- experts/teams/runtime.proactive-messaging-ts.md12.6 KiB
- experts/teams/runtime.routing-handlers-ts.md12.3 KiB
- experts/teams/state.storage-patterns-ts.md9.4 KiB
- experts/teams/teams-dotnet.md8.2 KiB
- experts/teams/teams-python.md8.3 KiB
- experts/teams/ui.adaptive-cards-ts.md12.9 KiB
- experts/teams/ui.dialogs-task-modules-ts.md15.1 KiB
- experts/teams/ui.message-extensions-ts.md15.6 KiB
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- experts/teams/workflow.state-driven-events-ts.md12.2 KiB
- experts/teams/workflow.triggers-compose-ts.md10.3 KiB
- experts/update-experts.md10.0 KiB
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- test-teams/test-teams.md4.9 KiB
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experts/update-experts.md
update-experts
purpose
Scan the .experts/ directory tree, detect expert files that were added or removed since the index files were last updated, and reconcile every index.md to match the actual file system.
rules
Scan the full directory tree first. Walk every folder under
.experts/and collect all.mdfiles. Separate them into three categories: index files (index.md), utility files (root-level system files likebuilder.md,analyzer.md,fallback.md,update-experts.md), and expert files (everything else that isn't prefixed with_).Build the expected inventory from the file system. For each domain folder (
tools/,languages/,languages/{lang}/,.project/), list every expert.mdfile present on disk (excludingindex.md). This is the source of truth.Build the registered inventory from each index file. Parse each domain's
index.mdto extract: (a) the## file inventorylist and (b) expert filenames referenced inRead:or→ Readdirectives within## task clusters. This is what the routing system currently knows about.Diff the two inventories per domain. Identify: (a) New experts — files on disk not in the index, (b) Removed experts — files in the index not on disk, (c) Orphaned references —
Read:directives pointing to files that don't exist.For each new expert, read the file to extract routing metadata. Open the new expert file and extract: the
# titleline, the## purposeline, trigger phrases from## instructions, and anyWhen:signal words. This metadata is needed to write the index entry.Update domain
index.mdfiles for new experts. For each new expert: (a) Add a task cluster entry under## task clusterswith aWhen:line derived from the expert's trigger phrases and a→ Readdirective pointing to the file. (b) Add the filename to## file inventoryin alphabetical order.Update domain
index.mdfiles for removed experts. For each removed expert: (a) Delete its task cluster entry from## task clusters. (b) Remove the filename from## file inventory. (c) Remove anyDepends on:references to it from other clusters.Update the root
index.mdfor signal word changes. After updating domain indexes, check if new experts introduced signal words not already present in the rootindex.mdrouting rules for that domain. Add them. Similarly, remove signal words that only belonged to a now-deleted expert.Update the root
index.mdutilities section. If a new root-level utility file was added (not inside a domain folder), add it to## utilitieswith a→ Readdirective, signals line, and one-line description. If a utility was removed, delete its entry.Handle language sub-domains. Languages have a two-level structure:
languages/index.mdroutes tolanguages/{lang}/index.md, which routes to individual expert files. New language folders need entries inlanguages/index.md. New expert files within a language folder need entries in that language'sindex.md.Detect new domain folders. If a folder exists under
.experts/that contains anindex.mdbut has no routing entry in the rootindex.md, flag it as a new domain and add a routing entry with signals derived from itsindex.mdpurpose and task clusters.Detect orphaned domain folders. If the root
index.mdreferences a domain folder that doesn't exist on disk, remove the routing entry and warn the developer.Never modify expert files themselves. This utility only touches
index.mdfiles. Expert content, rules, patterns, and instructions are never altered.Report all changes. After updating, output a structured summary showing: files scanned, new experts wired, removed experts unwired, signal words added/removed, and any warnings (orphaned references, missing metadata).
workflow
phase 1 — scan
List all folders under
.experts/recursively.For each folder, list all
.mdfiles.Categorize every file: index, utility, or expert.
Build the file-system inventory:
{ domain → [expert files] }.
phase 2 — parse indexes
Read every
index.mdfile found in phase 1.Extract registered experts from
## file inventoryandRead:/→ Readdirectives.Build the index inventory:
{ domain → [registered files] }.
phase 3 — diff
For each domain, compute:
added = filesystem - indexremoved = index - filesystemorphaned_refs = Read directives pointing to missing files
For root-level files, compare against
## utilitiesin the rootindex.md.
phase 4 — gather metadata for new experts
For each file in
added, read the expert file.Extract: title, purpose, trigger phrases from
## instructions, signal words.If the expert lacks
## instructionsor trigger phrases, derive signal words from the title and purpose.
phase 5 — update indexes
Apply additions and removals to each domain
index.md:Add/remove task cluster entries.
Add/remove file inventory entries.
Clean up
Depends on:/Cross-domain deps:references to removed files.
Apply signal word changes to root
index.mdrouting rules.Apply utility additions/removals to root
index.md## utilitiessection.
phase 6 — report
Output a structured summary:
## Update Report
### Scanned
- Domains: {count}
- Expert files: {count}
- Index files: {count}
### Changes
#### New experts wired
- {domain}/index.md ← {filename} (signals: {words})
#### Removed experts unwired
- {domain}/index.md → {filename} removed
#### Signal words updated
- Root index.md: added {words} to {domain} signals
- Root index.md: removed {words} from {domain} signals
#### Utilities updated
- Root index.md: added {filename} to utilities
- Root index.md: removed {filename} from utilities
### Warnings
- {any orphaned references, missing metadata, etc.}
### No changes needed
- {domains where filesystem matches index}patterns
Parsing file inventory from an index
# File inventory formats to recognize:
# Pipe-delimited (tools/index.md style):
# git.md | json-yaml.md | prompt-engineer.md
→ Split on ` | `, strip backticks
# Backtick-delimited (languages/typescript/index.md style):
# `idioms.md` | `patterns.md` | `pitfalls.md` | `type-system.md`
→ Split on ` | `, strip backticks
# Comment placeholder (.project/index.md style):
# <!-- empty — populated by analyzer.md + builder.md -->
→ Empty listParsing Read directives from task clusters
# Single-file directive (tools style):
# → Read `.experts/tools/git.md`
→ Extract path, derive filename: git.md
# Multi-file directive (language sub-domain style):
# Read:
# - `idioms.md`
# - `patterns.md`
→ Extract each filename from bullet list
# Domain-level directive (root index.md style):
# → Read `.experts/languages/index.md`
→ This points to an index, not an expert — skip when inventorying expertsDeriving signal words from an expert file
# Priority order for extracting signals:
1. ## instructions → "Trigger phrases:" line
→ Parse the comma-separated quoted phrases
2. ## interview → question text
→ Extract domain-specific keywords
3. ## purpose → one-line description
→ Extract nouns and noun phrases
4. # title → filename stem
→ Use as a last-resort signal wordpitfalls
Confusing index files with expert files. Every domain has an
index.mdthat is a router, not an expert. Never addindex.mdto a file inventory or create a task cluster pointing to an index within its own domain.Missing the two-level language structure.
languages/index.mdroutes tolanguages/{lang}/index.md, which routes to expert files. A new file inlanguages/python/must updatelanguages/python/index.md, notlanguages/index.mddirectly. A new language folder must updatelanguages/index.md.Overwriting hand-crafted cluster descriptions. When adding a new expert to an existing index, don't rewrite the existing task clusters. Only add the new entry and update the file inventory.
Duplicating signal words in root index. Before adding signal words to a domain's entry in the root
index.md, check that those words don't already appear in another domain's signals. Duplicate signals cause ambiguous routing.Forgetting locked files.
*.locked.mdfiles are valid experts that should appear in indexes. Don't skip them during scanning — they route identically to unlocked files.Treating
_prefixed.mdfiles as experts. Files starting with_are system/template files, not routable experts. Exclude them from inventory and index updates.
instructions
Use this expert when the developer wants to synchronize the routing indexes with the actual expert files on disk. This is the maintenance counterpart to builder.md — the builder creates experts, this utility ensures the routing system reflects what exists.
Trigger phrases: "update experts," "sync indexes," "update index," "refresh routing," "fix index files," "new experts not routed," "clean up indexes," "reconcile experts."
Pair with: builder.md (run update-experts after bulk expert creation to wire everything at once). Pair with: analyzer.md (run update-experts after the analyzer recommends and creates project experts).
research
Deep Research prompt:
"Write a meta-expert for maintaining a modular AI expert routing system's index files. Cover: recursive directory scanning to discover expert files, parsing index.md files to extract registered file inventories and Read directives, diffing filesystem state against index state, extracting routing metadata (signal words, trigger phrases) from expert files, updating multi-level index hierarchies (root router, domain routers, sub-domain routers), handling additions and removals symmetrically, managing signal word propagation from domain indexes to root index, reporting changes in a structured format, and common maintenance pitfalls (index/expert confusion, two-level language routing, locked files, underscore-prefixed system files, duplicate signal words across domains)."
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