Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally.
Data sourced from ClawHub. View on ClawSkills
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.
Category
π¨Design & CreativePlatforms
What MLX TTS can do for your AI workflow
Text-to-speech with mlx directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,176+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing MLX TTS
Help me get started with MLX TTS
Explains what MLX TTS does, walks through the setup, and runs a quick demo based on your current project
Use MLX TTS to text-To-Speech with MLX (Apple Silicon) and opensource models (defa...
Invokes MLX TTS with the right parameters and returns the result directly in the conversation
What can I do with MLX TTS in my design & creative workflow?
Lists the top use cases for MLX TTS, with example commands for each scenario
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MLX TTS extends your AI assistant with the ability to text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using MLX TTS as its underlying capability.
MLX TTS works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install MLX TTS once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with MLX TTS takes about two minutes. Place the skill at `~/.claude/skills/mlx-tts/` (personal, all projects) or `.claude/skills/mlx-tts/` (project-specific), then restart your AI client. From that point, typing `/mlx-tts` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
MLX TTS has been installed 1,176 times, making it one of the more actively used skills in the Design & Creative category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/mlx-tts/ for personal use (all projects), or .claude/skills/mlx-tts/ for project-specific use. Restart your AI client, then invoke with /mlx-tts or let the AI discover it automatically.
MLX TTS supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
MLX TTS is free to install. Check the repository for licensing information.
Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally.
Automate my design & creative tasks using MLX TTS
Identifies repetitive steps in your workflow and sets up MLX TTS to handle them automatically
MLX TTS is categorized under Design & Creative. These skills help AI agents perform specialized tasks in this domain.