Use Case
Voice Recognition isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Local speech-to-text with OpenAI Whisper CLI. Supports Chinese, English, 100+ languages with translation and summarization. This guide covers how to deploy Voice Recognition for your team, standardize prompts, and create shared workflows that everyone can use.
Install Voice Recognition in your project directory: .claude/skills/voice-recognition/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Voice Recognition in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Voice Recognition
How can my team use Voice Recognition together?
Set up Voice Recognition for our project so everyone can use it
Create a shared workflow using Voice Recognition for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install voice-recognitionOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install voice-recognitionβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/voice-recognition/π‘Extract and place the folder at the path above, then restart your agent.