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teams-delegate团队代表

Agent Skill

teams-delegate 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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下载量

4,776
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:teams-delegate(团队代表)
来源仓库:https://github.com/takeovernat/teams-delegate
安装命令:
openclaw skills install teams-delegate
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install teams-delegate

简介

将 Microsoft Teams 收件箱管理委托给您的 AI 代理,以实现自动回复、消息摘要、优先级筛选和上下文感知响应。

SKILL.md

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

  1. Save the client ID:
   python3 scripts/auth.py --client-id YOUR_CLIENT_ID
  1. 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

  1. For messages the agent handles: draft reply → run reply
  2. 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.

适合场景

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OpenClaw 用户查找和安装 Skill 时

02

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03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

98.58%
按下载量换算4,708

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

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权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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