🧪 Skills

Teams Delegate

Delegate Microsoft Teams inbox management to your AI agent for auto-replies, message summaries, priority filtering, and context-aware responses.

v1.0.4
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Description


name: teams-delegate description: Delegate your Microsoft Teams inbox to your AI agent. Use when the user wants to: auto-reply to Teams messages, have the agent monitor and respond to their boss or colleagues, summarize unread Teams conversations, draft context-aware replies, filter what needs human attention vs what the agent can handle, or manage Teams communication hands-free. Triggers on requests like "reply to my boss on Teams", "check my Teams messages", "handle my Teams inbox", "auto-reply on Teams", or "what did I miss on Teams".

Teams Delegate

Let the agent own your Teams inbox. Read messages, draft replies, send them — with awareness of who's messaging you and what actually needs your attention.

Setup (one time)

  1. Register an Azure app at https://portal.azure.com → Azure Active Directory → App Registrations → New

    • Platform: Mobile/Desktop (enables device code flow)
    • In Authentication → scroll to "Advanced settings" → set "Allow public client flows" to Yes (required for device code)
    • NOTE: Use the old Azure portal experience — click "switch to old experience" in the yellow banner if you see it
    • Add API permissions: Chat.Read, Chat.ReadWrite, ChannelMessage.Read.All, ChannelMessage.Send, Presence.Read.All, User.Read
    • Grant admin consent if on a corporate tenant
  2. Save the client ID:

    python3 scripts/auth.py --client-id YOUR_CLIENT_ID
    
  3. Authenticate:

    python3 scripts/auth.py
    

    Follow the device code prompt. Token saved to ~/.teams-delegate/token.json and auto-refreshes.

Core Commands

python3 scripts/teams.py inbox          # List recent chats with previews
python3 scripts/teams.py read <chatId>  # Read full conversation
python3 scripts/teams.py reply <chatId> "message"  # Send reply
python3 scripts/teams.py summary        # Dump all pending chats for agent review

Agent Workflow

Checking the inbox

  1. Run summary to get all recent conversations in one pass
  2. Classify each message:
    • Agent handles: acknowledgements, scheduling confirmations, "got it" responses, simple status updates
    • Needs human: decisions, sensitive topics, anything the user explicitly wants to see, urgent/high importance from boss
  3. For messages the agent handles: draft reply → run reply
  4. For messages needing human: summarize and present to user

Drafting replies

  • Match the tone of the conversation (casual 1:1 vs formal channel)
  • Keep it brief — Teams is chat, not email
  • If replying on behalf of someone, don't pretend to be them; write as their assistant if context requires
  • Check importance field — urgent messages from managers need immediate escalation to user

Auto-reply mode

When user says "handle my Teams" or "auto-reply while I'm out":

  1. Run summary every N minutes (use cron or heartbeat)
  2. Apply classification rules above
  3. Send approved replies automatically
  4. Log everything — what was sent, to whom, when
  5. Alert user for anything flagged as needing human attention

Priority Rules (defaults — user can override)

  • Messages marked urgent → always escalate to user
  • Messages from designated VIPs (boss, key clients) → draft only, wait for approval
  • Group chat messages → lower priority, reply only if directly @mentioned
  • Channel messages → summarize only unless @mentioned

Graph API Reference

See references/graph-api.md for full endpoint docs, auth scopes, and rate limit details.


Author

Built by Nate Teshome@takeovernat

Website: stellarsitesai.com GitHub: github.com/takeovernat

Found a bug or want to contribute? Open an issue or PR on GitHub.

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Compatible Platforms

Pricing

Free

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