instrument-data-to-all…
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when…
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.
$ npx -y skills add anthropics/knowledge-work-plugins --skill rtms --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/rtmsContext preview
The summary Claude sees to decide when to auto-load this skill.
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.
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
Plugins that turn Claude into a specialist for your role, team, and company. Built for Claude Cowork, also compatible with Claude Code.
Repo: anthropics/knowledge-work-plugins
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