Use Case
MLX TTS isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally. This guide covers how to deploy MLX TTS for your team, standardize prompts, and create shared workflows that everyone can use.
Install MLX TTS in your project directory: .claude/skills/mlx-tts/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use MLX TTS 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 MLX TTS
How can my team use MLX TTS together?
Set up MLX TTS for our project so everyone can use it
Create a shared workflow using MLX TTS for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install mlx-ttsOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install mlx-ttsβ 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/mlx-tts/π‘Extract and place the folder at the path above, then restart your agent.