Scribe — Agent Skill by OpenAI

From the author

Use when using Scribe.

— the description by Zoom

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://autogineer.com/agent-skills/openai/scribe/download
Unzip 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

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.

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