Zoom Rtms — Agent Skill by OpenAI

From the author

Use when using RTMS.

— the description by Zoom

AutoGineer summary

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

The zoom-rtms skill provides the necessary protocols and architectural guidance for integrating Zoom Realtime Media Streams. It covers the WebSocket-based connection lifecycle, including signaling and media handshakes, heartbeat management, and reconnection strategies. The skill supports processing various media types such as audio, video, screen sharing, transcripts, and chat, while providing reference data for message types and event enums.

What it does

Establishes WebSocket connections for signaling and media streams.
Handles media handshake requests for audio, video, screen share, transcript, and chat data.
Provides reference tables for RTMS message types and event enums.
Defines mandatory heartbeat and reconnection logic for stream stability.
Supports configuration for transcript language identification.
Outlines the process for extracting stream IDs and generating HMAC-SHA256 signatures.

When to use it

When you need to ingest raw meeting or contact center media into a backend pipeline.
When building services for transcription, AI analysis, or recording of Zoom sessions.
When you need to subscribe to specific meeting events or participant media streams.
When you require programmatic access to media data without a visible participant bot.

Advantages

Provides a structured approach to managing the complex WebSocket lifecycle.
Includes comprehensive references for message types and event handling.
Offers clear guidance on signature generation and security requirements.
Enables granular control over media subscription and transcript settings.

Usage examples

“How do I initiate a connection to an RTMS stream?”: The agent will guide you through receiving the rtms_started webhook, generating an HMAC-SHA256 signature, and performing the signaling and media handshakes.
“What is the correct way to handle heartbeats in RTMS?”: The agent will explain that you must respond to msg_type 12 (Keep Alive Request) with msg_type 13 (Keep Alive Response) to maintain the connection.

Install

Download the skill as a ZIP:
https://autogineer.com/agent-skills/openai/zoom-rtms/download
Unzip it into the cross-client skills folder of your project:
```
mkdir -p .agents/skills && unzip zoom-rtms.zip -d .agents/skills
```

Documentation by Zoom

Zoom Realtime Media Streams

Use this skill when the integration needs real-time meeting or contact-center media as a backend stream. If the workflow needs a visible participant bot, compare against build-zoom-bot and zoom-meeting-sdk-linux before choosing RTMS.

Workflow

Confirm the source surface: Meetings RTMS, Contact Center voice media, or another documented RTMS stream.
Decide whether RTMS is sufficient or whether a Meeting SDK bot is required for participant identity, meeting controls, or UI-visible behavior.
Implement the WebSocket lifecycle first: event subscription, connection validation, media start, heartbeat, reconnect, and shutdown.
Process media types intentionally: audio, video, screen share, chat, live transcript, and metadata have different payload and timing constraints.
Design downstream pipelines for buffering, transcription, AI analysis, recording, or tool invocation.
Debug by isolating app setup, webhook/event delivery, stream authorization, network connectivity, and media payload decoding.

References

Full preserved guide: references/full-guide.md
Connection architecture: concepts/connection-architecture.md
Lifecycle flow: concepts/lifecycle-flow.md
Media types: references/media-types.md
Data types: references/data-types.md
RTMS bot example: examples/rtms-bot.md
Common issues: troubleshooting/common-issues.md

Files

ATTRIBUTION.mdAdded by AutoGineer860 B
LICENSELicence file added by AutoGineer1.1 KiB
RUNBOOK.md2.6 KiB
SKILL.md1.6 KiB
agents/openai.yaml140 B
concepts/connection-architecture.md9.1 KiB
concepts/lifecycle-flow.md13.4 KiB
examples/ai-integration.md11.3 KiB
examples/manual-websocket.md16.8 KiB
examples/rtms-bot.md25.9 KiB
examples/sdk-quickstart.md9.3 KiB
references/connection.md8.0 KiB
references/data-types.md13.7 KiB
references/environment-variables.md1.3 KiB
references/full-guide.md22.9 KiB
references/media-types.md6.0 KiB
references/quickstart.md6.6 KiB
references/webhooks.md7.4 KiB
troubleshooting/common-issues.md10.4 KiB

LICENSE

MIT License

Copyright (c) 2025 Zoom Video Communications, Inc.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

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