Zoom General
OpenAIOfficialCreated by ZoomDistributed by OpenAI
- Skill
- Tool integration
- Automation and integrations
- MIT
- Medium risk
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
Download the skill as a ZIP:
https://autogineer.com/agent-skills/openai/zoom-general/downloadUnzip 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
Classify the job by outcome: embed meetings, custom video, automate resources, consume events, process media, use meeting intelligence, or publish a Marketplace app.
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.
Confirm auth and scope model before implementation; Zoom surfaces differ on user-level OAuth, account-level OAuth, and SDK signatures.
Route to the narrow skill once the surface is chosen rather than keeping broad guidance in context.
Use the preserved guide only when a task crosses product boundaries or needs detailed comparison tables.
References
Full preserved guide: references/full-guide.md
App types: references/app-types.md
Authentication: references/authentication.md
Scopes: references/scopes.md
Marketplace: references/marketplace.md
Query routing playbook: references/query-routing-playbook.md
Files
- ATTRIBUTION.mdAdded by AutoGineer866 B
- LICENSELicence file added by AutoGineer1.1 KiB
- RUNBOOK.md2.4 KiB
- SKILL.md1.4 KiB
- agents/openai.yaml133 B
- references/app-types.md2.6 KiB
- references/authentication.md2.0 KiB
- references/authorization-patterns.md21.2 KiB
- references/automatic-skill-chaining-rest-webhooks.md5.5 KiB
- references/community-repos.md9.1 KiB
- references/distributed-meeting-fallback-architecture.md14.0 KiB
- references/environment-variables.md3.0 KiB
- references/full-guide.md5.3 KiB
- references/interview-answer-routing.md796 B
- references/known-limitations.md2.5 KiB
- references/marketplace.md1.6 KiB
- references/meeting-webhooks-oauth-refresh-orchestration.md5.3 KiB
- references/query-routing-playbook.md2.7 KiB
- references/routing-implementation.md3.7 KiB
- references/scopes.md3.4 KiB
- references/sdk-logs-troubleshooting.md5.7 KiB
- references/sdk-upgrade-guide.md4.1 KiB
- references/sdk-upgrade-workflow.md3.5 KiB
- use-cases/ai-companion-integration.md9.8 KiB
- use-cases/ai-integration.md7.2 KiB
- use-cases/backend-automation-s2s-oauth.md4.9 KiB
- use-cases/collaborative-apps.md2.6 KiB
- use-cases/contact-center-app-lifecycle-and-context-switching.md1.2 KiB
- use-cases/contact-center-integration.md1.1 KiB
- use-cases/custom-meeting-ui-web.md2.8 KiB
- use-cases/custom-video.md5.6 KiB
- use-cases/customer-support-cobrowsing.md12.5 KiB
- use-cases/electron-meeting-embed.md1020 B
- use-cases/embed-meetings.md4.8 KiB
- use-cases/enterprise-app-deployment.md1.0 KiB
- use-cases/flutter-video-sessions.md910 B
- use-cases/form-completion-assistant.md15.3 KiB
- use-cases/hd-video-resolution.md8.8 KiB
- use-cases/high-volume-meeting-platform.md1.9 KiB
- use-cases/immersive-experiences.md2.9 KiB
- use-cases/in-meeting-apps.md7.4 KiB
- use-cases/marketplace-publishing.md9.2 KiB
- use-cases/meeting-automation.md6.1 KiB
- use-cases/meeting-bots.md10.6 KiB
- use-cases/meeting-details-with-events.md20.8 KiB
- use-cases/meeting-links-vs-embedding.md988 B
- use-cases/minutes-calculation.md22.5 KiB
- use-cases/native-meeting-sdk-multi-platform.md1.5 KiB
- use-cases/native-video-sdk-multi-platform.md1.2 KiB
- use-cases/prebuilt-video-ui.md12.4 KiB
- use-cases/probe-sdk-preflight-readiness-gate.md1.2 KiB
- use-cases/qss-monitoring.md2.7 KiB
- use-cases/raw-recording.md5.1 KiB
- use-cases/react-native-meeting-embed.md1.0 KiB
- use-cases/react-native-video-sessions.md953 B
- use-cases/real-time-media-streams.md5.4 KiB
- use-cases/recording-download-pipeline.md8.7 KiB
- use-cases/recording-transcription.md7.2 KiB
- use-cases/retrieve-meeting-and-subscribe-events.md32.9 KiB
- use-cases/rivet-event-driven-api-orchestrator.md1.3 KiB
- use-cases/saas-app-oauth-integration.md4.8 KiB
- use-cases/scribe-transcription-pipeline.md1.8 KiB
- use-cases/sdk-size-optimization.md5.0 KiB
- use-cases/sdk-wrappers-gui.md18.4 KiB
- use-cases/server-to-server-oauth-with-webhooks.md1.7 KiB
- use-cases/team-chat-llm-bot.md6.7 KiB
- use-cases/testing-development.md7.2 KiB
- use-cases/token-and-scope-troubleshooting.md2.4 KiB
- use-cases/transcription-bot-linux.md14.3 KiB
- use-cases/usage-reporting-analytics.md8.5 KiB
- use-cases/user-and-meeting-creation.md16.9 KiB
- use-cases/video-sdk-bring-your-own-storage.md6.9 KiB
- use-cases/virtual-agent-campaign-web-mobile-wrapper.md1.4 KiB
- use-cases/virtual-agent-knowledge-base-sync-pipeline.md1.1 KiB
- use-cases/web-sdk-embedding.md4.5 KiB
- use-cases/zoom-phone-smart-embed-crm.md876 B
use-cases/recording-download-pipeline.md
Recording Download Pipeline
Automatically download Zoom Meeting cloud recordings to your own storage (S3, GCS, Azure Blob, etc.) using webhooks and REST API.
Note: This is NOT Video SDK BYOS (Bring Your Own Storage). Video SDK BYOS saves recordings directly to S3 without downloading through Zoom servers. See
zoom-video-sdkfor true BYOS.
Overview
Set up automated pipelines to download Zoom Meeting cloud recordings to your own storage infrastructure for compliance, cost management, or integration with existing media workflows.
Skills Needed
webhooks - Receive recording events
zoom-rest-api - Download recordings
Architecture
Recording Download Pipeline:
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Zoom │────▶│ Webhook │────▶│ Your │
│ Cloud │ │ Handler │ │ Storage │
│ Recording │ │ │ │ (S3, GCS) │
└─────────────┘ └─────────────┘ └─────────────┘Prerequisites
Cloud recording enabled
Webhook endpoint
Storage bucket (S3, GCS, Azure, etc.)
recording:readscope
Workflow
Meeting ends, cloud recording completes
Receive
recording.completedwebhookDownload recording via API
Upload to your storage
(Optional) Delete from Zoom cloud
Common Tasks
S3 Upload Integration
const axios = require('axios');
const { S3Client, PutObjectCommand } = require('@aws-sdk/client-s3');
const { Upload } = require('@aws-sdk/lib-storage');
const s3 = new S3Client({ region: 'us-east-1' });
// Handle recording.completed webhook
app.post('/webhook', async (req, res) => {
const { event, payload } = req.body;
if (event === 'recording.completed') {
const { uuid, recording_files, host_email, topic } = payload.object;
// Process each recording file
for (const file of recording_files) {
await uploadToS3(file, uuid, topic);
}
// Optionally delete from Zoom after successful upload
// await deleteZoomRecording(uuid);
}
res.status(200).send();
});
async function uploadToS3(file, meetingUuid, topic) {
// Download from Zoom
const response = await axios({
method: 'GET',
url: file.download_url,
headers: { 'Authorization': `Bearer ${accessToken}` },
responseType: 'stream'
});
// Sanitize topic for filename
const safeTopic = topic.replace(/[^a-zA-Z0-9]/g, '_').substring(0, 50);
const key = `recordings/${meetingUuid}/${safeTopic}_${file.file_type}.${file.file_extension}`;
// Upload to S3 using multipart upload for large files
const upload = new Upload({
client: s3,
params: {
Bucket: 'your-recordings-bucket',
Key: key,
Body: response.data,
ContentType: getContentType(file.file_extension),
Metadata: {
'meeting-uuid': meetingUuid,
'file-type': file.file_type,
'recording-start': file.recording_start
}
}
});
await upload.done();
return `s3://your-recordings-bucket/${key}`;
}GCS Upload Integration
const { Storage } = require('@google-cloud/storage');
const storage = new Storage();
const bucket = storage.bucket('your-recordings-bucket');
async function uploadToGCS(file, meetingUuid, topic) {
const response = await axios({
method: 'GET',
url: file.download_url,
headers: { 'Authorization': `Bearer ${accessToken}` },
responseType: 'stream'
});
const safeTopic = topic.replace(/[^a-zA-Z0-9]/g, '_').substring(0, 50);
const filePath = `recordings/${meetingUuid}/${safeTopic}_${file.file_type}.${file.file_extension}`;
const gcsFile = bucket.file(filePath);
return new Promise((resolve, reject) => {
const writeStream = gcsFile.createWriteStream({
metadata: {
contentType: getContentType(file.file_extension),
metadata: {
meetingUuid: meetingUuid,
fileType: file.file_type
}
},
resumable: true // Important for large files
});
response.data.pipe(writeStream)
.on('finish', () => resolve(`gs://your-recordings-bucket/${filePath}`))
.on('error', reject);
});
}Handling Large Files
// Use streaming to avoid memory issues
async function streamDownload(downloadUrl, destination) {
const response = await axios({
method: 'GET',
url: downloadUrl,
headers: { 'Authorization': `Bearer ${accessToken}` },
responseType: 'stream',
maxContentLength: Infinity, // Allow large files
maxBodyLength: Infinity
});
// Track progress
const totalSize = parseInt(response.headers['content-length'], 10);
let downloadedSize = 0;
response.data.on('data', (chunk) => {
downloadedSize += chunk.length;
const progress = ((downloadedSize / totalSize) * 100).toFixed(2);
console.log(`Download progress: ${progress}%`);
});
return response.data;
}
// For very large files, use chunked upload
async function chunkedUploadToS3(stream, key) {
const upload = new Upload({
client: s3,
params: {
Bucket: 'your-bucket',
Key: key,
Body: stream
},
queueSize: 4, // Concurrent part uploads
partSize: 10 * 1024 * 1024 // 10MB parts
});
upload.on('httpUploadProgress', (progress) => {
console.log(`Upload progress: ${progress.loaded}/${progress.total}`);
});
await upload.done();
}Retry Logic for Failed Downloads
const retry = require('async-retry');
async function downloadWithRetry(file, meetingUuid) {
return await retry(
async (bail, attemptNumber) => {
console.log(`Attempt ${attemptNumber} for ${file.file_type}`);
try {
return await uploadToS3(file, meetingUuid);
} catch (error) {
// Don't retry on permanent errors
if (error.response?.status === 404) {
bail(new Error('Recording not found'));
return;
}
if (error.response?.status === 401) {
// Refresh token and retry
await refreshAccessToken();
}
throw error; // Retry
}
},
{
retries: 3,
factor: 2,
minTimeout: 1000,
maxTimeout: 10000,
onRetry: (error, attempt) => {
console.log(`Retry attempt ${attempt}: ${error.message}`);
}
}
);
}
// Queue system for processing
const Queue = require('bull');
const recordingQueue = new Queue('recording-uploads', process.env.REDIS_URL || 'redis://YOUR_REDIS_HOST:6379');
recordingQueue.process(async (job) => {
const { file, meetingUuid, topic } = job.data;
return await downloadWithRetry(file, meetingUuid, topic);
});
// Add job with retry
app.post('/webhook', async (req, res) => {
if (req.body.event === 'recording.completed') {
const { uuid, recording_files, topic } = req.body.payload.object;
for (const file of recording_files) {
await recordingQueue.add(
{ file, meetingUuid: uuid, topic },
{ attempts: 3, backoff: { type: 'exponential', delay: 5000 }}
);
}
}
res.status(200).send();
});Recording Lifecycle Management
// Delete from Zoom after successful upload
async function deleteZoomRecording(meetingUuid) {
// Double-encode UUID if it contains / or //
const encodedUuid = encodeURIComponent(encodeURIComponent(meetingUuid));
await axios.delete(
`https://api.zoom.us/v2/meetings/${encodedUuid}/recordings`,
{
params: { action: 'trash' }, // Move to trash (recoverable for 30 days)
// params: { action: 'delete' }, // Permanent delete
headers: { 'Authorization': `Bearer ${accessToken}` }
}
);
}
// Track what's been archived
const db = require('./db');
async function markAsArchived(meetingUuid, s3Path) {
await db.recordings.upsert({
meeting_uuid: meetingUuid,
s3_path: s3Path,
archived_at: new Date(),
deleted_from_zoom: false
});
}
// Clean up old recordings from Zoom
async function cleanupOldRecordings() {
const archivedRecordings = await db.recordings.findAll({
where: {
archived_at: { $lt: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000) },
deleted_from_zoom: false
}
});
for (const recording of archivedRecordings) {
await deleteZoomRecording(recording.meeting_uuid);
await db.recordings.update(
{ deleted_from_zoom: true },
{ where: { meeting_uuid: recording.meeting_uuid }}
);
}
}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