Agent Native

scribe

This skill provides reference documentation for Zoom AI Services Scribe, which transcribes audio and video into text using three processing modes: Live Mode…

by ZoomOfficial publisher

Identity proven by GitHub's verified organisation badge (zoom)

Agents
Claude Code
License
MIT (permissive)
Pin
86e2592pinned Oct 9, 2026
Context cost
about 1,700 tokenswhen the skill loads
GitHub stars
7on zoom/zoom-plugin-claude
Scripts
None found

What it does

“Reference skill for Zoom AI Services Scribe. Use after routing to a transcription workflow when handling live audio, uploaded or stored media, Build-platform JWT auth, Live/Fast/Batch processing modes, or transcript pipeline design.”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill provides reference documentation for Zoom AI Services Scribe, which transcribes audio and video into text using three processing modes: Live Mode for continuous WebSocket-based transcription, Fast Mode for synchronous single-file uploads up to 100 MB, and Batch Mode for asynchronous jobs with webhook status updates. It handles Build-platform JWT authentication, streaming PCM16 audio, and transcript JSON persistence across real-time voice agents, uploaded media, and stored archives.

When to use it

  • Transcribing live audio streams or continuous voice agent input via WebSocket
  • Converting uploaded audio or video files to text synchronously
  • Processing multiple stored media files asynchronously with webhook callbacks
  • Building real-time caption or transcription features for applications

When not to

  • User needs transcript summarization instead of transcription
  • User needs text translation rather than transcription
  • User requires Zoom meeting-native stream handling

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add zoom/zoom-plugin-claude --skill scribe

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install zoom/zoom-plugin-claude scribe@86e2592334f5fb563ed273e26035844004e66165

Installs the commit we checked (86e2592).

Copy by hand

Download the folder at 86e2592 and put it in .claude/skills/scribe for Claude Code and in .agents/skills/scribe for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at 86e2592

Claude Code plugin

/plugin install zoom-plugin@claude-plugins-official

The publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "scribe" by Zoom.

Source, pinned to commit 86e2592334f5fb563ed273e26035844004e66165:
https://github.com/zoom/zoom-plugin-claude/tree/86e2592334f5fb563ed273e26035844004e66165/skills/scribe

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/scribe/ for Claude Code and .agents/skills/scribe/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/zoom/scribe

SKILL.md at the pin

---
name: scribe
description: "Reference skill for Zoom AI Services Scribe. Use after routing to a transcription workflow when handling live audio, uploaded or stored media, Build-platform JWT auth, Live/Fast/Batch processing modes, or transcript pipeline design."
user-invocable: false
triggers:
  - "scribe"
  - "ai services scribe"
  - "zoom scribe"
  - "transcribe audio file"
  - "transcribe video file"
  - "batch transcription"
  - "fast mode transcription"
  - "live transcription"
  - "live mode transcription"
  - "voice agent transcription"
  - "build platform jwt"
---

# Zoom AI Services Scribe

Background reference for Zoom AI Services Scribe across:
- real-time audio transcription over WebSocket (`wss://api.zoom.us/v2/aiservices/scribe/live`)
- synchronous single-file transcription (`POST /aiservices/scribe/transcribe`)
- asynchronous batch jobs (`/aiservices/scribe/jobs*`)
- webhook-driven batch status updates
- Build-platform JWT generation and credential handling

Official docs:
- https://developers.zoom.us/docs/ai-services/
- https://developers.zoom.us/docs/ai-services/scribe/
- https://developers.zoom.us/docs/ai-services/scribe/live-mode/
- https://developers.zoom.us/docs/api/ai-services/
- https://developers.zoom.us/api-hub/ai-services/methods/endpoints.json
- Quickstart sample: https://github.com/zoom/ai-services-quickstart/

## Routing Guardrail

- If the user needs **live audio, uploaded media, or stored media transcribed into text**, route here first.
- If the user needs **transcript text summarized**, route to [../summarizer/SKILL.md](../summarizer/SKILL.md).
- If the user needs **plain text translated**, route to [../translator/SKILL.md](../translator/SKILL.md).
- If the user needs **generic live audio** for voice agents, captions, or microphone transcription, use Scribe Live Mode.
- If the user needs **Zoom meeting-native audio, video, screen share, chat, or transcript streams**, route to [../rtms/SKILL.md](../rtms/SKILL.md).
- If the user needs **Zoom REST API inventory** for AI Services paths, chain [../rest-api/SKILL.md](../rest-api/SKILL.md).
- If the user needs webhook signature patterns or generic HMAC receiver hardening, optionally chain [../webhooks/SKILL.md](../webhooks/SKILL.md).

## Quick Links

1. [concepts/auth-and-processing-modes.md](concepts/auth-and-processing-modes.md)
2. [scenarios/high-level-scenarios.md](scenarios/high-level-scenarios.md)
3. [examples/live-mode-node.md](examples/live-mode-node.md)
4. [examples/fast-mode-node.md](examples/fast-mode-node.md)
5. [examples/batch-webhook-pipeline.md](examples/batch-webhook-pipeline.md)
6. [references/api-reference.md](references/api-reference.md)
7. [references/environment-variables.md](references/environment-variables.md)
8. [references/samples-validation.md](references/samples-validation.md)
9. [references/versioning-and-drift.md](references/versioning-and-drift.md)
10. [troubleshooting/common-drift-and-breaks.md](troubleshooting/common-drift-and-breaks.md)
11. [RUNBOOK.md](RUNBOOK.md)

## Core Workflow

1. Get Build-platform credentials and generate an HS256 JWT.
2. Choose **live mode** for continuous audio, **fast mode** for one short file, or **batch mode** for stored archives / large sets.
3. Open the Live WebSocket or submit the Fast/Batch request.
4. Handle Live events, a synchronous Fast response, or Batch polling/webhooks.
5. Persist and post-process transcript JSON.

## Hosted Fast-Mode Guardrail

- The formal fast-mode API limits are `100 MB` and `2 hours`, but hosted browser flows can still time out before the upstream response returns.
- Current deployed-sample observations:
  - ~17.2 MB MP4 completed in about `26s`
  - ~38.6 MB MP4 completed in about `26-37s`
  - ~59.2 MB MP4 completed in about `32-34s` on the backend
  - some ~59.2 MB browser requests still surfaced as frontend `504` while backend logs later showed `200`
- Treat frontend `504` plus backend `200` as a browser/edge timeout race, not an automatic transcription failure.
- For hosted UIs, prefer an async request/polling wrapper for fast mode instead of holding the browser open for the full upstream response.
- For larger or less predictable media, prefer batch mode even when the file is still within the formal fast-mode size limit.

## Live Mode Guardrails

- Connect from a trusted backend with the `live-asr` WebSocket subprotocol and a Zoom AI Services JWT in the `Authorization` header.
- Configure the session with `session.update`, then stream binary PCM16 little-endian, 16 kHz, mono audio in approximately 100 ms frames.
- Keep control messages as JSON text. Do not Base64-encode audio or wrap binary frames in JSON.
- Browser WebSocket clients cannot set the required authorization header. Relay browser audio through a backend that adds the JWT; never expose Build credentials or JWTs in client code.
- Treat `transcription.completed` as the documented final segment event. Handle every `error`, especially `error.fatal`.
- On shutdown, stop audio, send `session.close`, continue reading final events through `session.closed`, then close the socket.
- Live Mode defaults: 60-minute maximum session duration and 30-second no-audio idle timeout. Concurrent limits are account-tier dependent.
- Use repeated Fast Mode microphone uploads only as a legacy fallback when a WebSocket relay is impossible; Live Mode is the preferred continuous transcription path.

## Endpoint Surface

| Mode | Method | Path | Use |
|------|--------|------|-----|
| Live | WebSocket | `wss://api.zoom.us/v2/aiservices/scribe/live` | Continuous PCM16 audio and segment-level transcription events |
| Fast | `POST` | `/aiservices/scribe/transcribe` | Synchronous transcription for one file |
| Batch | `POST` | `/aiservices/scribe/jobs` | Submit asynchronous batch job |
| Batch | `GET` | `/aiservices/scribe/jobs` | List jobs |
| Batch | `GET` | `/aiservices/scribe/jobs/{jobId}` | Inspect job summary/state |
| Batch | `DELETE` | `/aiservices/scribe/jobs/{jobId}` | Cancel queued/processing job |
| Batch | `GET` | `/aiservices/scribe/jobs/{jobId}/files` | Inspect per-file results |
| Batch | `GET` | `/aiservices/scribe/jobs/{jobId}/files/{fileId}` | Inspect one per-file result |

## High-Level Scenarios

- On-demand clip transcription after a user uploads one recording.
- Real-time transcription for voice agents, live captions, and browser microphones through a backend relay.
- Batch transcription of stored S3 call archives.
- Webhook-driven ETL pipeline that writes transcripts to your database/search index.
- Re-transcription of Zoom-managed recordings after exporting them to your own storage.
- Offline compliance or QA workflows that need timestamps, channel separation, and speaker hints.

## Chaining

- Stored Zoom recordings -> [../rest-api/SKILL.md](../rest-api/SKILL.md) + `scribe`
- Transcribe then summarize -> `scribe` + [../summarizer/SKILL.md](../summarizer/SKILL.md)
- Transcribe then translate -> `scribe` + [../translator/SKILL.md](../translator/SKILL.md)
- Webhook verification hardening -> [../webhooks/SKILL.md](../webhooks/SKILL.md)
- Generic live audio transcription -> Scribe Live Mode
- Zoom meeting-native media/transcript streams -> [../rtms/SKILL.md](../rtms/SKILL.md)
- Cross-product routing -> [../general/SKILL.md](../general/SKILL.md)

## Operations

- [RUNBOOK.md](RUNBOOK.md) - 5-minute preflight and debugging checklist.

From zoom/zoom-plugin-claude at 86e2592, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.

View SKILL.md on GitHub at 86e2592

Files

12 files, 47 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at 86e2592
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