instrument-data-to-all…
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D…
Reference skill for Zoom RTMS. Use after routing to a live-media workflow when processing real-time audio, video, chat, transcripts, screen share, or contact-center voice streams.
Claude Code
$ npx -y skills add anthropics/knowledge-work-plugins --skill rtms --agent claude-code
Codex
$ npx skills add anthropics/knowledge-work-plugins --skill rtms -a codex -y
Cursor
$ npx skills add anthropics/knowledge-work-plugins --skill rtms -a cursor -y
Gemini CLI
$ npx skills add anthropics/knowledge-work-plugins --skill rtms -a gemini-cli -y
GitHub Copilot
$ npx skills add anthropics/knowledge-work-plugins --skill rtms -a github-copilot -y
OpenCode
$ npx skills add anthropics/knowledge-work-plugins --skill rtms -a opencode -y
Windsurf
$ npx skills add anthropics/knowledge-work-plugins --skill rtms -a windsurf -y
name: zoom-rtms description: Reference skill for Zoom RTMS. Use after routing to a live-media workflow when processing real-time audio, video, chat, transcripts, screen share, or contact-center voice streams. user-invocable: false triggers: - "real-time media" - "rtms" - "live audio stream" - "live video stream" - "meeting transcription" - "raw audio" - "raw video" - "websocket media" - "live transcript" - "streaming audio" - "streaming video" - "meeting bot media" - "contact center voice media" - "participant video on" - "participant video off" - "single individual video stream"
Background reference for live Zoom media pipelines. Prefer `build-zoom-bot` first, then use this skill for stream types, capabilities, and RTMS-specific implementation constraints.
Expert guidance for accessing live audio, video, transcript, chat, and screen share data from Zoom meetings, webinars, Video SDK sessions, and Zoom Contact Center Voice in real-time. RTMS uses a WebSocket-based protocol with open standards and does not require a meeting bot to capture the media plane.
RTMS is primarily a **backend media ingestion service**.
Optional architecture (common):
Use RTMS for media/data plane, and use frontend frameworks/Zoom Apps for presentation + user interactions.
**Official Documentation**: https://developers.zoom.us/docs/rtms/ **SDK Reference (JS)**: https://zoom.github.io/rtms/js/ **SDK Reference (Python)**: https://zoom.github.io/rtms/py/ **Sample Repository**: https://github.com/zoom/rtms-samples
**New to RTMS? Follow this path:**
1. **[Connection Architecture](concepts/connection-architecture.md)** - Two-phase WebSocket design 2. **[SDK Quickstart](examples/sdk-quickstart.md)** - Fastest way to receive media (recommended) 3. **[Manual WebSocket](examples/manual-websocket.md)** - Full protocol control without SDK 4. **[Media Types](references/media-types.md)** - Audio, video, transcript, chat, screen share
**Complete Implementation:**
**Reference:**
**Having issues?**
| Product | Webhook Event | Payload ID | App Type | |---------|--------------|------------|----------| | **Meetings** | `meeting.rtms_started` / `meeting.rtms_stopped` | `meeting_uuid` | General App | | **Webinars** | `webinar.rtms_started` / `webinar.rtms_stopped` | `meeting_uuid` (same!) | General App | | **Video SDK** | `session.rtms_started` / `session.rtms_stopped` | `session_id` | Video SDK App | | **Zoom Contact Center Voice** | Product-specific RTMS/ZCC Voice events | Product-specific stream/session identifiers | Contact Center / approved RTMS integration |
Once connected, the core signaling/media socket model is shared across products. Meetings, webinars, and Video SDK sessions use the familiar start/stop webhooks. Zoom Contact Center Voice adds its own RTMS/ZCC Voice event family and should be treated as the same transport model with product-specific event payloads.
RTMS is a data pipeline that gives your app access to live media from Zoom meetings, webinars, and Video SDK sessions **without participant bots**. Instead of having automated clients join meetings, use RTMS to collect media data directly from Zoom's infrastructure.
| Media Type | Format | Use Cases | |------------|--------|-----------| | **Audio** | PCM (L16), G.711, G.722, Opus | Transcription, voice analysis, recording | | **Video** | H.264, JPG, PNG | Recording, AI vision, thumbnails, active participant selection | | **Screen Share** | H.264, JPG, PNG | Content capture, slide extraction | | **Transcript** | JSON text | Meeting notes, search, compliance | | **Chat** | JSON text | Archive, sentiment analysis |
| Approach | Best For | Complexity | |----------|----------|------------| | **SDK** (`@zoom/rt
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