oc-voice

Transcribe voice chat messages with Whisper and route text downstream.

23|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/reedmayhew18/ClawedBack --skill oc-voice
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oc-voice
Source: https://github.com/reedmayhew18/ClawedBack/tree/main/.claude/skills/oc-voice
Command: npx skills add https://github.com/reedmayhew18/ClawedBack --skill oc-voice

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Voice messages in web chat require manual transcription and routing. The Voice Coordinator automatically handles voice-type inputs by using Whisper transcription and routing the resulting text for downstream processing.

Core Features & Use Cases

  • Transcription-driven processing: converts voice to text and treats it like a regular user message.
  • Quality checks: detects garbled transcripts and prompts users to repeat.
  • Contextual attribution: notes when a message originated from a voice input and references the original audio file if needed.

Quick Start

Start by sending a voice message in the web chat and let the system transcribe and route it to the voice processor.

Frequently Asked Questions about oc-voice

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I process voice messages in web chat workflows?

To process voice messages in web chat, this skill uses Whisper to transcribe the audio input, treats the resulting text as a standard user message, and routes it for downstream processing.

What happens if audio transcription fails or is garbled?

If audio transcription is garbled, the voice processing workflow applies quality checks to detect the issue and prompts the user to repeat their message for accurate downstream routing.

How does voice message routing handle the original audio file?

Voice message routing notes when an input originated from voice and references the original audio file location, ensuring full traceability for the transcribed text within the chat workflow.

Can I use Whisper transcription to treat voice input as regular text?

Yes, you can use Whisper transcription to convert voice input into text, which the system then treats as a regular user message to drive downstream actions in your chat application.

Do I need to manually transcribe voice inputs for chat applications?

No, you do not need to manually transcribe voice inputs. The voice coordinator automatically handles voice-type messages by applying transcription and routing the text automatically.

What is the best way to automate voice processing for chat messages?

The best way to automate voice processing is to route voice-type web chat inputs through a coordinator that applies Whisper transcription, quality checks, and user clarification prompts.