Scribe
OpenAIOfficialCreated by ZoomDistributed by OpenAI
- Skill
- Tool integration
- Automation and integrations
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a structured workflow for integrating Zoom Scribe AI services into your applications. It covers the end-to-end process of setting up transcription pipelines, from credential management and media ingestion to handling batch jobs and webhook callbacks. It distinguishes between synchronous fast-mode transcription and asynchronous batch processing, ensuring developers can select the appropriate mode for their specific latency and volume requirements.
What it does
- Guides the setup of authentication using JWT for Zoom AI services.
- Defines the workflow for both synchronous fast-mode and asynchronous batch transcription.
- Outlines requirements for media ingestion, chunking, and persistence.
- Provides instructions for implementing webhook callbacks for batch job notifications.
- Offers troubleshooting steps for common issues like credential drift or processing errors.
When to use it
- When you need to transcribe pre-recorded media files stored in cloud storage.
- When building automated transcription pipelines that require batch processing.
- When you need to integrate Zoom's AI transcription capabilities into an existing application.
- When you need to verify the status or manage the lifecycle of batch transcription jobs.
Advantages
- Provides a clear, step-by-step procedure for complex transcription integrations.
- Helps distinguish between different processing modes to optimize for latency.
- Includes essential guidance on security practices like webhook signature verification.
- Centralizes configuration requirements for S3-based batch processing.
Usage examples
- “How do I set up a batch transcription job for files in S3?”
- The agent will guide you through defining the input S3 URI, configuring the batch job parameters, and setting up a webhook to receive completion notifications.
- “What are the requirements for using the synchronous Scribe endpoint?”
- The agent will explain the POST /aiservices/scribe/transcribe endpoint, required file and config fields, and how to handle the immediate response.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/openai/scribe/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip scribe.zip -d .agents/skills
Documentation by Zoom
Zoom AI Services Scribe
Use this skill for Zoom Scribe transcription pipelines over uploaded or stored media. If the user needs live meeting media, compare against RTMS or Meeting SDK bot workflows first.
Workflow
Confirm the media source, size, language, expected latency, and whether fast mode or batch mode fits.
Set up Build-platform credentials and JWT handling separately from application transcription logic.
Design ingestion, chunking, retries, webhook callbacks, and persistence before connecting downstream AI workflows.
Implement a minimal transcription request and response parser, then add batching and operational monitoring.
Debug by checking credential audience, processing mode, media format, file size, backend timeout, and webhook delivery.
References
Full preserved guide: references/full-guide.md
Auth and processing modes: concepts/auth-and-processing-modes.md
High-level scenarios: scenarios/high-level-scenarios.md
Fast mode Node example: examples/fast-mode-node.md
Batch webhook pipeline: examples/batch-webhook-pipeline.md
API reference: references/api-reference.md
Common drift and breaks: troubleshooting/common-drift-and-breaks.md
Files
- ATTRIBUTION.mdAdded by AutoGineer859 B
- LICENSELicence file added by AutoGineer1.1 KiB
- RUNBOOK.md4.2 KiB
- SKILL.md1.5 KiB
- agents/openai.yaml138 B
- concepts/auth-and-processing-modes.md3.2 KiB
- examples/batch-webhook-pipeline.md1.6 KiB
- examples/fast-mode-node.md1.8 KiB
- references/api-reference.md2.6 KiB
- references/environment-variables.md1.5 KiB
- references/full-guide.md5.4 KiB
- references/samples-validation.md2.0 KiB
- references/versioning-and-drift.md2.0 KiB
- scenarios/high-level-scenarios.md3.1 KiB
- troubleshooting/common-drift-and-breaks.md4.6 KiB
references/versioning-and-drift.md
Versioning and Drift
Naming Drift in Docs
The current Zoom docs are inconsistent about credential naming:
AI Services auth page uses
API key/API secret.Build-platform credentials page uses
SDK key/SDK secret.Quickstart code uses
ZOOM_API_KEY/ZOOM_API_SECRET.
Treat these as a portal/documentation naming drift issue and verify the current credential labels in the Zoom developer UI before changing production code.
Product Positioning Drift
Scribe sits under AI Services, but related Zoom products may point users toward:
RTMS for live meeting streams
Meeting SDK Linux bots for visible in-meeting capture
AI Companion / REST APIs for Zoom-generated summaries and transcripts
blog or marketing material that frames Scribe inside broader speech/insights workflows
Keep the guardrail clear:
scribe= file/storage transcription servicertms= live media stream ingestionMeeting SDK Linux = participant bot capture / raw recording
Workflow-Claim Drift
Some AI Services and Scribe blog material frames Scribe inside broader voice-insights workflows such as:
post-call summaries
ticket enrichment
compliance logging
searchable archives
customer-support QA pipelines
sentiment or keyword-driven downstream analytics
These are valid architectural use cases, but they do not expand the current documented Scribe endpoint surface.
Implementation rule:
use
scribefor transcript generationuse your own downstream pipeline for sentiment, classification, QA scoring, or summarization
do not infer undocumented real-time or analytics endpoints from blog phrasing alone
API Surface Drift Watchpoints
Watch for changes in:
storage providers beyond
S3request field names in
configwebhook signature header conventions
response summary/file schemas
language / output-format support
Review Trigger
Re-review this skill when:
api-hub/ai-services/methods/endpoints.jsonchangesAI Services docs rename Build/API credentials again
quickstart sample changes webhook or upload patterns
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.
Needs: Needs Node.js
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.
Attribution and licence
- Created by
- Zoom
- Publisher
- OpenAI (Official)
- Distributed by
- OpenAI
- Source
- openai/plugins · plugins/zoom/skills/scribe · 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 scribe.zip