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Zoom General

OpenAIOfficialCreated by ZoomDistributed by OpenAI

  • Skill
  • Tool integration
  • Automation and integrations
  • MIT
  • Medium risk

From the author

Use when comparing products.
— the description by Zoom

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

Zoom General serves as a strategic starting point for developers and architects to navigate the Zoom ecosystem. It provides a structured workflow to classify integration requirements, identify the correct Zoom product surface (such as APIs, SDKs, or webhooks), and determine the necessary authentication model. By guiding users through a decision-making process, it ensures that developers select the right tool for their specific use case before routing to more specialized skills.

What it does

  • Classifies integration jobs based on desired outcomes like embedding meetings or automating resources.
  • Maps requirements to specific Zoom surfaces including REST APIs, WebSockets, and various SDKs.
  • Provides guidance on selecting the correct authentication and scope model for an integration.
  • Facilitates routing to specialized skills once the product context is established.
  • Offers comparative context for tasks that span multiple Zoom product boundaries.

When to use it

  • When you are in the early stages of planning a Zoom integration and need to choose the right app type.
  • When you need to compare different Zoom surfaces to determine which fits your technical requirements.
  • When a task involves multiple Zoom products and requires a high-level architectural approach.
  • When you need to confirm the correct authentication flow for a specific integration scenario.

Advantages

  • Prevents premature selection of tools by enforcing a structured classification process.
  • Clarifies the distinction between user-level OAuth, account-level OAuth, and SDK signatures.
  • Reduces complexity by routing users to narrow, specialized skills after initial planning.
  • Provides a clear decision matrix for choosing between General Apps, Server-to-Server OAuth, and Webhook Only apps.

Usage examples

“I want to build an app that automates meeting reports. Which Zoom app type should I use?”
The agent will guide you to classify the job as backend automation, leading to the recommendation of Server-to-Server OAuth for its lack of user interaction requirements.
“Should I use the Meeting SDK or the Video SDK for my project?”
The agent will help you compare the two based on your specific embedding needs and surface requirements, ensuring you choose the correct SDK for your use case.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/openai/zoom-general/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip zoom-general.zip -d .agents/skills

Documentation by Zoom

Zoom General

Use this skill for cross-product platform context after the user’s goal is understood. For first-step routing, prefer start, plan-zoom-product, or plan-zoom-integration.

Workflow

  1. Classify the job by outcome: embed meetings, custom video, automate resources, consume events, process media, use meeting intelligence, or publish a Marketplace app.

  2. Choose the Zoom surface that owns the behavior: REST API, webhooks, WebSockets, Meeting SDK, Video SDK, Zoom Apps SDK, Phone, Contact Center, Virtual Agent, Scribe, Rivet, or Cobrowse.

  3. Confirm auth and scope model before implementation; Zoom surfaces differ on user-level OAuth, account-level OAuth, and SDK signatures.

  4. Route to the narrow skill once the surface is chosen rather than keeping broad guidance in context.

  5. Use the preserved guide only when a task crosses product boundaries or needs detailed comparison tables.

References

Files

use-cases/real-time-media-streams.md

Real-Time Media Streams

Access live audio, video, transcripts, chat, and screen share from Zoom meetings via WebSocket.

Overview

Zoom RTMS (Realtime Media Streams) provides WebSocket-based access to live meeting media for real-time AI processing, transcription, analysis, and recording - without meeting bots.

See the comprehensive RTMS skill: rtms/SKILL.md

Skills Needed

  • zoom-rtms - Primary (comprehensive documentation)

  • webhooks - Receive RTMS start/stop events

Two Approaches

ApproachBest ForDocumentation
SDK (@zoom/rtms)Most use casesSDK Quickstart
Manual WebSocketFull protocol controlManual WebSocket

How It Works

RTMS Flow:
1. Meeting starts with RTMS enabled
        ↓
2. Webhook: meeting.rtms_started
        ↓
3. Connect to Signaling WebSocket
        ↓
4. Connect to Media WebSocket
        ↓
5. Receive live audio/video/transcript/chat/share

Media Types

TypeFormatUse Case
AudioPCM 16-bitTranscription, analysis
VideoH.264Visual AI, recording
TranscriptJSONReal-time captions

Prerequisites

  • RTMS feature enabled on app

  • Webhook endpoint

  • WebSocket client

Quick Start

// Handle RTMS webhook
app.post('/webhook', (req, res) => {
  if (req.body.event === 'meeting.rtms_started') {
    const { server_urls, signature } = req.body.payload;

    // Connect to RTMS
    const ws = new WebSocket(server_urls);
    ws.on('message', (data) => {
      // Process live media
    });
  }
  res.status(200).send();
});

Common Tasks

Connecting to RTMS WebSocket
const WebSocket = require('ws');
const crypto = require('crypto');

// Webhook handler receives RTMS connection info
app.post('/webhook', (req, res) => {
  const { event, payload } = req.body;

  if (event === 'meeting.rtms_started') {
    const { server_urls, stream_id, signature } = payload;

    // Connect to RTMS WebSocket
    connectToRTMS(server_urls[0], stream_id, signature);
  }

  res.status(200).send();
});

function connectToRTMS(url, streamId, signature) {
  const ws = new WebSocket(url);

  ws.on('open', () => {
    // Authenticate
    ws.send(JSON.stringify({
      type: 'auth',
      stream_id: streamId,
      signature: signature
    }));
  });

  ws.on('message', (data) => {
    const message = JSON.parse(data);
    handleRTMSMessage(message);
  });

  ws.on('error', (err) => {
    console.error('RTMS error:', err);
    // Implement reconnection logic
  });
}
Processing Audio Streams
function handleRTMSMessage(message) {
  switch (message.type) {
    case 'audio':
      processAudio(message);
      break;
    case 'video':
      processVideo(message);
      break;
    case 'transcript':
      processTranscript(message);
      break;
  }
}

function processAudio(message) {
  // Audio format: PCM 16-bit, 16kHz, mono
  const audioBuffer = Buffer.from(message.data, 'base64');

  // Send to transcription service (e.g., OpenAI Whisper, Deepgram)
  transcriptionService.processChunk(audioBuffer, {
    sampleRate: 16000,
    channels: 1,
    format: 'pcm_s16le'
  });
}
Handling Video Frames
function processVideo(message) {
  // Video format: H.264 encoded
  const videoFrame = Buffer.from(message.data, 'base64');

  // Decode H.264 frame (requires ffmpeg or similar)
  const decodedFrame = h264Decoder.decode(videoFrame);

  // Process for AI (face detection, emotion analysis, etc.)
  aiProcessor.analyzeFrame(decodedFrame, {
    width: message.width,
    height: message.height,
    timestamp: message.timestamp
  });
}
Real-Time Transcription Integration
// Using Zoom's built-in transcript stream
function processTranscript(message) {
  const { text, speaker_id, timestamp, is_final } = message;

  if (is_final) {
    // Final transcript segment
    saveTranscript({
      speaker: speaker_id,
      text: text,
      timestamp: timestamp
    });

    // Optionally analyze with AI
    analyzeWithAI(text);
  } else {
    // Partial transcript - update UI in real-time
    updateLiveCaption(text);
  }
}

// Integration with external AI for summarization
async function analyzeWithAI(transcript) {
  const response = await openai.chat.completions.create({
    model: 'gpt-4',
    messages: [{
      role: 'system',
      content: 'Extract action items from this meeting segment.'
    }, {
      role: 'user',
      content: transcript
    }]
  });

  return response.choices[0].message.content;
}
Error Handling & Reconnection
class RTMSClient {
  constructor(config) {
    this.config = config;
    this.reconnectAttempts = 0;
    this.maxReconnectAttempts = 5;
  }

  connect() {
    this.ws = new WebSocket(this.config.url);

    this.ws.on('close', () => {
      if (this.reconnectAttempts < this.maxReconnectAttempts) {
        const delay = Math.pow(2, this.reconnectAttempts) * 1000;
        setTimeout(() => this.connect(), delay);
        this.reconnectAttempts++;
      }
    });

    this.ws.on('open', () => {
      this.reconnectAttempts = 0;
      this.authenticate();
    });
  }
}

Resources

Requirements and compatibility

Written for: OpenAI Codex

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.

Security

What our scanner noticed· Medium risk

  • Possible data-exfiltration endpoints
  • Instructions that use the network

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

Created by
Zoom
Publisher
OpenAI (Official)
Distributed by
OpenAI
Source
openai/plugins · plugins/zoom/skills/general · commit d420d13
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from plugins/zoom/LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Zoom or OpenAI.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download zoom-general.zip