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Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally.
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Showing SKILL.md
Based on SOC occupation classification
| name | mlx-tts |
| description | Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally. |
| author | guoqiao |
| metadata | {"openclaw":{"always":false,"emoji":"🦞","homepage":"https://clawhub.ai/guoqiao/mlx-tts","os":["darwin"],"requires":{"bins":["brew"]}}} |
| triggers | ["/mlx-tts <text>","TTS ...","Convert text to audio ...","Say <text>","Reply with voice message ..."] |
Text-To-Speech with MLX (Apple Silicon) and open-source models (default QWen3-TTS) locally.
Free and Fast. No API key required. No server required.
mlx: macOS with Apple Siliconbrew: used to install deps if not availablebash ${baseDir}/install.sh
This script will use brew to install these CLI tools if not available:
uv: install python package and run python scriptmlx_audio: do the real jobTo generate audio from text, run this script:
bash ${baseDir}/mlx-tts.sh "<text>"
message tool to send the audio file to the user as an voice message:{
"action": "send",
"filePath": "<filepath>"
}
Example:
User: "Say hello world"
Agent:
bash path/to/mlx-tts.sh "hello world"/tmp/folder/audio.oggmessage(action="send", filePath="/tmp/folder/audio.ogg", ...)