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mlx-tts
Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| 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", ...)Convert URL to PDF suitable for mobile reading.
Provision and reuse a global uv environment for ad hoc Python scripts.
Extract a HackerNews post (article + comments) into single clean Markdown for quick reading or LLM input.
Extract content from a GitHub url.
Convert URL to PNG suitable for mobile reading.
Local 24x7 OpenAI-compatible API server for STT/TTS, powered by MLX on your Mac.