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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/transcription-bot-linux.md

Transcription Bot (Linux)

Build a production-ready transcription bot using Meeting SDK for Linux to automatically transcribe Zoom meetings.

Overview

A transcription bot joins Zoom meetings as a visible participant, captures raw audio, and streams it to a transcription service (AssemblyAI, Whisper, etc.) for real-time or post-meeting transcription.

Skills Needed

  • meeting-sdk/linux - Primary (headless meeting bot)

  • zoom-rest-api - Get meeting details, OBF tokens

  • zoom-oauth - JWT token generation for SDK auth

Architecture

┌──────────────┐    ┌─────────────────┐    ┌──────────────────┐    ┌──────────────┐
│  Meeting     │───▶│ Meeting SDK Bot │───▶│  Raw Audio       │───▶│ Transcription│
│  Started     │    │ (Linux/Docker)  │    │  Stream (PCM)    │    │  Service     │
│              │    │                 │    │  32kHz, 16-bit   │    │ (AssemblyAI) │
└──────────────┘    └─────────────────┘    └──────────────────┘    └──────────────┘
                            │                        │                       │
                            ▼                        ▼                       ▼
                    ┌─────────────────┐    ┌──────────────────┐    ┌──────────────┐
                    │ 1. Get OBF Token│    │ 2. StartRaw      │    │ 3. Store     │
                    │    (REST API)   │    │    Recording     │    │    Transcript│
                    └─────────────────┘    └──────────────────┘    └──────────────┘

Implementation Steps

Step 1: Generate JWT & OBF Tokens

JWT Token (SDK authentication):

# Using zoom-oauth skill
curl -X POST https://your-auth-service.com/generate-jwt \
  -d '{"client_id": "YOUR_CLIENT_ID", "client_secret": "YOUR_CLIENT_SECRET"}'

OBF Token (join external meetings):

# Via REST API
curl -X POST "https://api.zoom.us/v2/users/{userId}/token?type=obf&ttl=7200" \
  -H "Authorization: Bearer YOUR_ACCESS_TOKEN"

See: zoom-oauth, bot-authentication

Step 2: Initialize Meeting SDK

Full implementation: meeting-sdk/linux

#include "zoom_sdk.h"
#include <glib.h>

USING_ZOOM_SDK_NAMESPACE

// Initialize SDK
InitParam init_params;
init_params.strWebDomain = "https://zoom.us";
init_params.enableLogByDefault = true;
init_params.rawdataOpts.audioRawDataMemoryMode = ZoomSDKRawDataMemoryModeHeap;

SDKError err = InitSDK(init_params);
if (err != SDKERR_SUCCESS) {
    std::cerr << "InitSDK failed: " << err << std::endl;
    return 1;
}

// Authenticate SDK with JWT
AuthContext auth_ctx;
auth_ctx.jwt_token = jwt_token_from_step1;

IAuthService* auth_service;
CreateAuthService(&auth_service);
auth_service->SetEvent(new MyAuthDelegate());
auth_service->SDKAuth(auth_ctx);
Step 3: Join Meeting
// In onAuthenticationReturn callback
class MyAuthDelegate : public IAuthServiceEvent {
    void onAuthenticationReturn(AuthResult ret) override {
        if (ret == AUTHRET_SUCCESS) {
            JoinParam join_param;
            join_param.userType = SDK_UT_WITHOUT_LOGIN;

            auto& params = join_param.param.withoutloginuserJoin;
            params.meetingNumber = 1234567890;
            params.userName = "Transcription Bot";
            params.psw = meeting_password;
            params.isVideoOff = true;   // Bot doesn't need video
            params.isAudioOff = false;  // Need audio for transcription
            params.app_privilege_token = obf_token;  // From Step 1

            meeting_service->Join(join_param);
        }
    }
};
Step 4: Start Raw Recording & Subscribe to Audio
class MyMeetingDelegate : public IMeetingServiceEvent {
    void onMeetingStatusChanged(MeetingStatus status, int iResult) override {
        if (status == MEETING_STATUS_INMEETING) {
            std::cout << "[BOT] Joined meeting successfully" << std::endl;

            // Get recording controller
            auto* record_ctrl = meeting_service->GetMeetingRecordingController();

            // Check permission
            SDKError can_record = record_ctrl->CanStartRawRecording();
            if (can_record != SDKERR_SUCCESS) {
                std::cerr << "[ERROR] Cannot start raw recording: " << can_record << std::endl;
                std::cerr << "Need: host/co-host OR recording token" << std::endl;
                return;
            }

            // Start raw recording (enables raw data access)
            SDKError err = record_ctrl->StartRawRecording();
            if (err != SDKERR_SUCCESS) {
                std::cerr << "[ERROR] StartRawRecording failed: " << err << std::endl;
                return;
            }

            std::cout << "[BOT] Raw recording started, subscribing to audio..." << std::endl;

            // Subscribe to audio
            auto* audio_helper = GetAudioRawdataHelper();
            if (!audio_helper) {
                std::cerr << "[ERROR] Failed to get audio helper" << std::endl;
                return;
            }

            SDKError audio_err = audio_helper->subscribe(new TranscriptionAudioDelegate());
            if (audio_err != SDKERR_SUCCESS) {
                std::cerr << "[ERROR] Audio subscribe failed: " << audio_err << std::endl;
            } else {
                std::cout << "[BOT] Subscribed to audio successfully" << std::endl;
            }
        }
    }
};
Step 5: Process Audio & Send to Transcription Service
class TranscriptionAudioDelegate : public IZoomSDKAudioRawDataDelegate {
private:
    AssemblyAIClient transcription_client;
    std::ofstream debug_file;  // For debugging: save raw audio

public:
    TranscriptionAudioDelegate() {
        // Initialize transcription service connection
        transcription_client.connect();

        // Optional: Save raw audio for debugging
        debug_file.open("meeting_audio.pcm", std::ios::binary);
    }

    void onMixedAudioRawDataReceived(AudioRawData* data) override {
        // Get audio properties
        uint32_t sample_rate = data->GetSampleRate();  // Typically 32000 Hz
        uint32_t channels = data->GetChannelNum();     // 1 (mono) or 2 (stereo)
        uint32_t buffer_len = data->GetBufferLen();
        char* buffer = data->GetBuffer();

        // Send to transcription service
        transcription_client.send_audio(buffer, buffer_len, sample_rate, channels);

        // Optional: Save for debugging
        if (debug_file.is_open()) {
            debug_file.write(buffer, buffer_len);
        }
    }

    void onOneWayAudioRawDataReceived(AudioRawData* data, uint32_t node_id) override {
        // Per-user audio (optional - for speaker diarization)
        // node_id identifies the speaker
    }

    ~TranscriptionAudioDelegate() {
        transcription_client.disconnect();
        if (debug_file.is_open()) {
            debug_file.close();
        }
    }
};
Step 6: Handle Transcription Results
class AssemblyAIClient {
private:
    WebSocketClient ws;
    std::string api_key;

public:
    void connect() {
        ws.connect("wss://api.assemblyai.com/v2/realtime/ws?sample_rate=32000", {
            {"Authorization": api_key}
        });

        // Listen for transcription results
        ws.on_message([](const std::string& message) {
            json result = json::parse(message);
            if (result["message_type"] == "FinalTranscript") {
                std::string text = result["text"];
                float confidence = result["confidence"];

                std::cout << "[TRANSCRIPT] " << text << " (confidence: " << confidence << ")" << std::endl;

                // Store in database
                save_to_database(text, timestamp);
            }
        });
    }

    void send_audio(char* buffer, size_t len, uint32_t sample_rate, uint32_t channels) {
        // Convert PCM to base64 (AssemblyAI expects base64-encoded audio)
        std::string encoded = base64_encode((unsigned char*)buffer, len);

        json audio_data = {
            {"audio_data", encoded}
        };

        ws.send(audio_data.dump());
    }
};

Production Patterns

Retry Logic for Meeting Join

See: meeting-sdk-bot.md

bool joinMeetingWithRetry(int max_attempts = 5, int retry_interval_ms = 60000) {
    for (int attempt = 1; attempt <= max_attempts; attempt++) {
        std::cout << "[JOIN] Attempt " << attempt << "/" << max_attempts << std::endl;

        SDKError err = meeting_service->Join(join_param);

        if (err == SDKERR_SUCCESS && waitForJoinCallback()) {
            std::cout << "[JOIN] Success!" << std::endl;
            return true;
        }

        if (attempt < max_attempts) {
            std::cout << "[JOIN] Retrying in " << (retry_interval_ms / 1000) << "s..." << std::endl;
            std::this_thread::sleep_for(std::chrono::milliseconds(retry_interval_ms));
        }
    }

    std::cerr << "[JOIN] Failed after " << max_attempts << " attempts" << std::endl;
    return false;
}
Docker Deployment

Dockerfile:

FROM ubuntu:22.04

# Install dependencies
RUN apt-get update && apt-get install -y \
    build-essential cmake \
    libx11-xcb1 libxcb-xfixes0 libxcb-shape0 libxcb-shm0 \
    libxcb-randr0 libxcb-image0 libxcb-keysyms1 libxcb-xtest0 \
    libglib2.0-dev libcurl4-openssl-dev \
    pulseaudio pulseaudio-utils

# Setup PulseAudio for headless audio
RUN mkdir -p ~/.config && \
    echo "[General]\nsystem.audio.type=default" > ~/.config/zoomus.conf

# Copy SDK and app
COPY zoom_meeting_sdk/ /app/lib/
COPY transcription_bot /app/

# Setup PulseAudio virtual devices
COPY setup-pulseaudio.sh /app/
RUN chmod +x /app/setup-pulseaudio.sh

CMD ["/app/setup-pulseaudio.sh && /app/transcription_bot"]

setup-pulseaudio.sh:

#!/bin/bash
# Start PulseAudio daemon
pulseaudio --start --exit-idle-time=-1

# Create virtual speaker
pactl load-module module-null-sink sink_name=virtual_speaker

# Create virtual microphone
pactl load-module module-null-sink sink_name=virtual_mic

echo "PulseAudio configured for headless operation"

Configuration Management

Environment Variables (.env):

# Zoom SDK Credentials
ZOOM_CLIENT_ID=your_client_id
ZOOM_CLIENT_SECRET=your_client_secret

# Meeting Info
ZOOM_MEETING_NUMBER=1234567890
ZOOM_MEETING_PASSWORD=abc123

# Transcription Service
ASSEMBLYAI_API_KEY=your_api_key

# Bot Config
BOT_NAME="Transcription Bot"
BOT_JOIN_RETRY_ATTEMPTS=5
BOT_JOIN_RETRY_INTERVAL_MS=60000

Loading config:

#include <cstdlib>

struct BotConfig {
    std::string client_id;
    std::string client_secret;
    uint64_t meeting_number;
    std::string meeting_password;
    std::string bot_name;
    int join_retry_attempts;
    int join_retry_interval_ms;
};

BotConfig loadConfig() {
    BotConfig cfg;
    cfg.client_id = getenv("ZOOM_CLIENT_ID") ?: "";
    cfg.client_secret = getenv("ZOOM_CLIENT_SECRET") ?: "";
    cfg.meeting_number = std::stoull(getenv("ZOOM_MEETING_NUMBER") ?: "0");
    cfg.meeting_password = getenv("ZOOM_MEETING_PASSWORD") ?: "";
    cfg.bot_name = getenv("BOT_NAME") ?: "Transcription Bot";
    cfg.join_retry_attempts = atoi(getenv("BOT_JOIN_RETRY_ATTEMPTS") ?: "5");
    cfg.join_retry_interval_ms = atoi(getenv("BOT_JOIN_RETRY_INTERVAL_MS") ?: "60000");
    return cfg;
}

Common Issues & Solutions

Issue: Raw Recording Permission Denied

Error: CanStartRawRecording() returns SDKERR_NO_PERMISSION

Solution:

  1. Bot needs to be host/co-host, OR

  2. Use recording token from REST API, OR

  3. Host grants recording permission manually

See: meeting-sdk-bot.md#raw-recording-permission-denied

Issue: No Audio in Docker

Error: Audio subscription succeeds but no audio callbacks

Solution: Create ~/.config/zoomus.conf:

mkdir -p ~/.config
echo "[General]\nsystem.audio.type=default" > ~/.config/zoomus.conf

See: linux-reference.md#pulseaudio-setup

Issue: Callbacks Not Firing

Error: onMeetingStatusChanged() never called after Join()

Solution: Add GLib main loop:

#include <glib.h>

GMainLoop* loop = g_main_loop_new(NULL, FALSE);
g_main_loop_run(loop);  // Blocks until quit
  • meeting-sdk/linux - Complete Meeting SDK Linux guide

  • zoom-rest-api - Get meetings, OBF tokens

  • zoom-oauth - JWT token generation

Sample Code

Complete sample: meeting-sdk/linux/concepts/high-level-scenarios.md

Official samples:

Key Takeaways

✅ Use OBF tokens for joining external meetings (require owner present) ✅ Setup PulseAudio for Docker/headless audio access ✅ Call StartRawRecording() before subscribing to audio ✅ Use heap memory mode for raw data (ZoomSDKRawDataMemoryModeHeap) ✅ Implement retry logic for meeting join (OBF requires owner present) ✅ Add GLib main loop for callbacks to work ✅ Stream audio in real-time for best transcription latency

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

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