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Agent Skill · 研究检索

build-zoom-team-chat-app(构建 Zoom 团队聊天应用程序)

build-zoom-team-chat-app 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

build-zoom-team-chat-app 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 17,960。

总安装 6,332周安装 272GitHub Stars 11,739下载 2,220核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:build-zoom-team-chat-app(构建 Zoom 团队聊天应用程序)
来源仓库:https://github.com/anthropics/knowledge-work-plugins
仓库路径:skills/build-zoom-team-chat-app
安装命令:
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill build-zoom-team-chat-app
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill build-zoom-team-chat-app

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。适合在关键词搜索、任务场景或来源线索下快速定位候选结果。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围、维护状态及是否触发联网或文件读写。build-zoom-team-chat-app 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/build-zoom-team-chat-app

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/anthropics/knowledge-work-plugins --skill buil…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

build-zoom-team-chat-app 怎么安装?

在终端执行 npx skills add https://github.com/anthropics/knowledge-work-plugins --skill build-zoom-tea…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

build-zoom-team-chat-app 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

build-zoom-team-chat-app 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

build-zoom-team-chat-app 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

build-zoom-team-chat-app 用的人多吗?

公开数据是累计安装 6,332 次,近一周安装 272 次,下载 2,220 次,GitHub 11,739 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

build-zoom-team-chat-app 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 11,739 星,维护活跃度相对可查。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
build-zoom-team-chat-app

构建 Zoom 团队聊天应用程序 · 本页

6,33211,739接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

/build-zoom-team-chat-app

Background reference for Zoom Team Chat integrations. Use this after the workflow is clear, especially when the Team Chat API versus Chatbot API distinction matters.

Read This First (Critical)

There are two different integration types and they are not interchangeable:

  1. Team Chat API (user type)

- Sends messages as a real authenticated user - Uses User OAuth (authorization_code) - Endpoint family: /v2/chat/users/...

  1. Chatbot API (bot type)

- Sends messages as your bot identity - Uses Client Credentials (client_credentials) - Endpoint family: /v2/im/chat/messages

If you choose the wrong type early, auth/scopes/endpoints all mismatch and implementation fails.

Official Documentation: https://developers.zoom.us/docs/team-chat/ Chatbot Documentation: https://developers.zoom.us/docs/team-chat/chatbot/extend/ API Reference: https://developers.zoom.us/docs/api/rest/reference/chatbot/

Quick Links

New to Team Chat? Follow this path:

  1. Get Started - End-to-end fast path (user type vs bot type)
  2. Choose Your API - Team Chat API vs Chatbot API
  3. Environment Setup - Credentials, scopes, app configuration
  4. OAuth Setup - Complete authentication flow
  5. Send First Message - Working code to send messages

Reference:

Having issues?

OAuth endpoint sanity check:

  • Authorize URL: https://zoom.us/oauth/authorize
  • Token URL: https://zoom.us/oauth/token
  • If /oauth/token returns 404/HTML, use https://zoom.us/oauth/token.

Building Interactive Bots?

Quick Decision: Which API?

Use CaseAPI to Use
Send notifications from scripts/CI/CDTeam Chat API
Automate messages as a userTeam Chat API
Build an interactive chatbotChatbot API
Respond to slash commandsChatbot API
Create messages with buttons/formsChatbot API
Handle user interactionsChatbot API

Team Chat API (User-Level)

  • Messages appear as sent by authenticated user
  • Requires User OAuth (authorization_code flow)
  • Endpoint: POST https://api.zoom.us/v2/chat/users/me/messages
  • Scopes: chat_message:write, chat_channel:read

Chatbot API (Bot-Level)

  • Messages appear as sent by your bot
  • Requires Client Credentials grant
  • Endpoint: POST https://api.zoom.us/v2/im/chat/messages
  • Scopes: imchat:bot (auto-added)
  • Rich cards: buttons, forms, dropdowns, images

Prerequisites

System Requirements

  • Zoom account
  • Account owner, admin, or Zoom for developers role enabled

- To enable: User Management → Roles → Role Settings → Advanced features → Enable Zoom for developers

Create Zoom App

  1. Go to Zoom App Marketplace
  2. Click Develop → Build App
  3. Select General App (OAuth)
⚠️ Do NOT use Server-to-Server OAuth - S2S apps don't have the Chatbot/Team Chat feature. Only General App (OAuth) supports chatbots.

Required Credentials

From Zoom Marketplace → Your App:

CredentialLocationUsed By
Client IDApp Credentials → DevelopmentBoth APIs
Client SecretApp Credentials → DevelopmentBoth APIs
Account IDApp Credentials → DevelopmentChatbot API
Bot JIDFeatures → Chatbot → Bot CredentialsChatbot API
Secret TokenFeatures → Team Chat SubscriptionsChatbot API

See: Environment Setup Guide for complete configuration steps.

Quick Start: Team Chat API

Send a message as a user:

// 1. Get access token via OAuth
const accessToken = await getOAuthToken(); // See examples/oauth-setup.md

// 2. Send message to channel
const response = await fetch('https://api.zoom.us/v2/chat/users/me/messages', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${accessToken}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    message: 'Hello from CI/CD pipeline!',
    to_channel: 'CHANNEL_ID'
  })
});

const data = await response.json();
// { "id": "msg_abc123", "date_time": "2024-01-15T10:30:00Z" }

Complete example: Send Message Guide

Quick Start: Chatbot API

Build an interactive chatbot:

// 1. Get chatbot token (client_credentials)
async function getChatbotToken() {
  const credentials = Buffer.from(
    `${CLIENT_ID}:${CLIENT_SECRET}`
  ).toString('base64');

  const response = await fetch('https://zoom.us/oauth/token', {
    method: 'POST',
    headers: {
      'Authorization': `Basic ${credentials}`,
      'Content-Type': 'application/x-www-form-urlencoded'
    },
    body: 'grant_type=client_credentials'
  });

  return (await response.json()).access_token;
}

// 2. Send chatbot message with buttons
const response = await fetch('https://api.zoom.us/v2/im/chat/messages', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${accessToken}`,
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    robot_jid: process.env.ZOOM_BOT_JID,
    to_jid: payload.toJid,           // From webhook
    account_id: payload.accountId,   // From webhook
    content: {
      head: {
        text: 'Build Notification',
        sub_head: { text: 'CI/CD Pipeline' }
      },
      body: [
        { type: 'message', text: 'Deployment successful!' },
        {
          type: 'fields',
          items: [
            { key: 'Branch', value: 'main' },
            { key: 'Commit', value: 'abc123' }
          ]
        },
        {
          type: 'actions',
          items: [
            { text: 'View Logs', value: 'view_logs', style: 'Primary' },
            { text: 'Dismiss', value: 'dismiss', style: 'Default' }
          ]
        }
      ]
    }
  })
});

Complete example: Chatbot Setup Guide

Key Features

Team Chat API

FeatureDescription
Send MessagesPost messages to channels or direct messages
List ChannelsGet user's channels with metadata
Create ChannelsCreate public/private channels programmatically
Threaded RepliesReply to specific messages in threads
Edit/DeleteModify or remove messages

Chatbot API

FeatureDescription
Rich Message CardsHeaders, images, fields, buttons, forms
Slash CommandsCustom /commands trigger webhooks
Button ActionsInteractive buttons with webhook callbacks
Form SubmissionsCollect user input with forms
Dropdown SelectsChannel, member, date/time pickers
LLM IntegrationEasy integration with Claude, GPT, etc.

Webhook Events (Chatbot API)

EventTriggerUse Case
bot_notificationUser messages bot or uses slash commandProcess commands, integrate LLM
bot_installedBot added to accountInitialize bot state
interactive_message_actionsButton clickedHandle button actions
chat_message.submitForm submittedProcess form data
app_deauthorizedBot removedCleanup

See: Webhook Events Reference

Message Card Components

Build rich interactive messages with these components:

ComponentDescription
headerTitle and subtitle
messagePlain text
fieldsKey-value pairs
actionsButtons (Primary, Danger, Default styles)
sectionColored sidebar grouping
attachmentsImages with links
dividerHorizontal line
form_fieldText input
dropdownSelect menu
date_pickerDate selection

See: Message Cards Reference for complete component catalog

Architecture Patterns

Chatbot Lifecycle

User types /command → Webhook receives bot_notification
                            ↓
                     payload.cmd = "user's input"
                            ↓
                     Process command
                            ↓
                     Send response via sendChatbotMessage()

LLM Integration Pattern

case 'bot_notification': {
  const { toJid, cmd, accountId } = payload;

  // 1. Call your LLM
  const llmResponse = await callClaude(cmd);

  // 2. Send response back
  await sendChatbotMessage(toJid, accountId, {
    body: [{ type: 'message', text: llmResponse }]
  });
}

See: LLM Integration Guide

Sample Applications

SampleDescriptionLink
Chatbot QuickstartOfficial tutorial (recommended start)GitHub
Claude ChatbotAI chatbot with Anthropic ClaudeGitHub
Unsplash ChatbotImage search with databaseGitHub
ERP ChatbotOracle ERP with scheduled alertsGitHub
Task ManagerFull CRUD appGitHub

See: Sample Applications Guide for analysis of all 10 samples

Common Operations

Send Message to Channel

// Team Chat API
await fetch('https://api.zoom.us/v2/chat/users/me/messages', {
  method: 'POST',
  headers: { 'Authorization': `Bearer ${token}` },
  body: JSON.stringify({
    message: 'Hello!',
    to_channel: 'CHANNEL_ID'
  })
});

Handle Button Click

// Webhook handler
case 'interactive_message_actions': {
  const { actionItem, toJid, accountId } = payload;

  if (actionItem.value === 'approve') {
    await sendChatbotMessage(toJid, accountId, {
      body: [{ type: 'message', text: '✅ Approved!' }]
    });
  }
}

Verify Webhook Signature

function verifyWebhook(req) {
  const message = `v0:${req.headers['x-zm-request-timestamp']}:${JSON.stringify(req.body)}`;
  const hash = crypto.createHmac('sha256', process.env.ZOOM_VERIFICATION_TOKEN)
    .update(message)
    .digest('hex');
  return req.headers['x-zm-signature'] === `v0=${hash}`;
}

Deployment

ngrok for Local Development

# Install ngrok
npm install -g ngrok

# Expose local server
ngrok http 4000

# Use HTTPS URL as Bot Endpoint URL in Zoom Marketplace
# Example: https://abc123.ngrok.io/webhook

Production Deployment

See: Deployment Guide for:

  • Nginx reverse proxy setup
  • Base path configuration
  • OAuth redirect URI setup

Limitations

LimitValue
Message length4,096 characters
File size512 MB
Members per channel10,000
Channels per user500

Security Best Practices

  1. Verify webhook signatures - Always validate using x-zm-signature header
  2. Sanitize messages - Limit to 4096 chars, remove control characters
  3. Validate JIDs - Check format: user@domain or channel@domain
  4. Environment variables - Never hardcode credentials
  5. Use HTTPS - Required for production webhooks

See: Security Best Practices

Complete Documentation Library

Core Concepts (Start Here!)

Complete Examples

References

Troubleshooting

Resources


Need help? Start with Integrated Index section below for complete navigation.


Integrated Index

*This section was migrated from SKILL.md.*

Complete navigation guide for the Zoom Team Chat skill.

Quick Start Paths

Path 1: Team Chat API (User-Level Messaging)

For sending messages as a user account.

  1. API Selection Guide - Confirm Team Chat API is right
  2. Environment Setup - Get credentials
  3. OAuth Setup Example - Implement authentication
  4. Send Message Example - Send your first message

Path 2: Chatbot API (Interactive Bots)

For building interactive chatbots with rich messages.

  1. API Selection Guide - Confirm Chatbot API is right
  2. Environment Setup - Get credentials (including Bot JID)
  3. Webhook Architecture - Understand webhook events
  4. Chatbot Setup Example - Build your first bot
  5. Message Cards Reference - Create rich messages

Core Concepts

Essential understanding for both APIs.

DocumentDescription
API Selection GuideChoose Team Chat API vs Chatbot API
Environment SetupComplete credentials and app configuration
Authentication FlowsOAuth vs Client Credentials
Webhook ArchitectureHow webhooks work (Chatbot API)
Message Card StructureCard component hierarchy
Deployment GuideProduction deployment strategies
Security Best PracticesSecure your integration

Complete Examples

Working code for common scenarios.

Authentication

ExampleDescription
OAuth SetupUser OAuth flow implementation
Token ManagementRefresh tokens, expiration handling

Basic Operations

ExampleDescription
Send MessageTeam Chat API message sending
Chatbot SetupComplete chatbot with webhooks
List ChannelsGet user's channels
Create ChannelCreate public/private channels

Interactive Features (Chatbot API)

ExampleDescription
Button ActionsHandle button clicks
Form SubmissionsProcess form data
Slash CommandsCreate custom commands
Dropdown SelectsChannel/member pickers

Advanced Integration

ExampleDescription
LLM IntegrationIntegrate Claude/GPT
Scheduled AlertsCron + incoming webhooks
Database IntegrationStore conversation state
Multi-Step WorkflowsComplex user interactions

References

API Documentation

ReferenceDescription
API ReferencePointers and common endpoints
Webhook EventsEvent types and handling checklist
Message CardsAll card components
Error CodesError handling guide

Sample Applications

ReferenceDescription
Sample ApplicationsSample app index/notes

Field Guides

ReferenceDescription
JID FormatsUnderstanding JID identifiers
Scopes ReferenceCommon scopes
Rate LimitsThrottling guidance

Troubleshooting

GuideDescription
Common IssuesQuick diagnostics and solutions
OAuth IssuesAuthentication failures
Webhook IssuesWebhook debugging
Message IssuesMessage sending problems
Deployment IssuesProduction problems

Architecture Patterns

Chatbot Lifecycle

User Action → Webhook → Process → Response

LLM Integration Pattern

User Input → Chatbot receives → Call LLM → Send response

Approval Workflow Pattern

Request → Send card with buttons → User clicks → Update status → Notify

Common Use Cases

Notifications

  • CI/CD build notifications
  • Server monitoring alerts
  • Scheduled reports
  • System health checks

Workflows

  • Approval requests
  • Task assignment
  • Status updates
  • Form submissions

Integrations

  • LLM-powered assistants
  • Database queries
  • External API integration
  • File/image sharing

Automation

  • Scheduled messages
  • Auto-responses
  • Data collection
  • Report generation

Resource Links

Official Documentation

Sample Code

Tools

Community

Documentation Status

✅ Complete

  • Main skill.md entry point
  • API Selection Guide
  • Environment Setup
  • Webhook Architecture
  • Chatbot Setup Example (complete working code)
  • Message Cards Reference
  • Common Issues Troubleshooting

📝 Pending (High Priority)

  • OAuth Setup Example
  • Send Message Example
  • Button Actions Example
  • LLM Integration Example
  • Webhook Events Reference
  • API Reference
  • Sample Applications Analysis

📋 Planned (Lower Priority)

  • Form Submissions Example
  • Channel Management Examples
  • Database Integration Example
  • Error Codes Reference
  • Rate Limits Guide
  • Deployment troubleshooting

Getting Started Checklist

For Team Chat API

For Chatbot API

  • Read API Selection Guide
  • Complete Environment Setup
  • Obtain Client ID, Client Secret, Bot JID, Secret Token, Account ID
  • Enable Team Chat in Features
  • Configure Bot Endpoint URL and Slash Command
  • Set up ngrok for local testing
  • Implement webhook handler
  • Send first chatbot message

Version History

  • v1.0 (2026-02-09) - Initial comprehensive documentation

- Core concepts (API selection, environment setup, webhooks) - Complete chatbot setup example - Message cards reference - Common issues troubleshooting

Support

Use this SKILL.md as the navigation hub for Team Chat API selection, setup, examples, and troubleshooting.

Environment Variables

平台分布

Codex

35.14%
按下载量换算780

Claude

27.95%
按下载量换算620

Cursor

19.93%
按下载量换算442

Gemini CLI

9%
按下载量换算200

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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