OpenClaw

mlx-tts

Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally.

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查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install guoqiao/mlx-tts

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

MLX TTS

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.

Requirements

mlx: macOS with Apple Silicon
brew: used to install deps if not available

Installation

bash ${baseDir}/install.sh

This script will use brew to install these CLI tools if not available:

uv: install python package and run python script
mlx_audio: do the real job

Usage

To generate audio from text, run this script:

bash ${baseDir}/mlx-tts.sh "<text>"

Agent Instructions

Run the script: Pass the text to be spoken as an argument.
Handle Output: The script will output a path to a audio file. Use the message tool to send the audio file to the user as an voice message:

{
   "action": "send",
   "filePath": "<filepath>"
}

Example: User: "Say hello world" Agent:

Runs bash path/to/mlx-tts.sh "hello world"
Receives output: /tmp/folder/audio.ogg
Calls message(action="send", filePath="/tmp/folder/audio.ogg", ...)

来源信息

Source: github
Repository: openclaw/skills
Path: skills/guoqiao/mlx-tts
Version: —
Commit: b9e4326b7f22f8c8570fd5b1b085f1b8e59b97db
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# MLX TTS

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.

## Requirements

- `mlx`: macOS with Apple Silicon
- `brew`: used to install deps if not available

## Installation

```bash
bash ${baseDir}/install.sh
```
This script will use `brew` to install these CLI tools if not available:
- `uv`: install python package and run python script
- `mlx_audio`: do the real job

## Usage

To generate audio from text, run this script:

```bash
bash ${baseDir}/mlx-tts.sh "<text>"
```

### Agent Instructions

1. **Run the script**: Pass the text to be spoken as an argument.
2. **Handle Output**: The script will output a path to a audio file.
Use the `message` tool to send the audio file to the user as an voice message:
```json
{
   "action": "send",
   "filePath": "<filepath>"
}
```

Example:
User: "Say hello world"
Agent:
1. Runs `bash path/to/mlx-tts.sh "hello world"`
2. Receives output: `/tmp/folder/audio.ogg`
3. Calls `message(action="send", filePath="/tmp/folder/audio.ogg", ...)`

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