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mlx-tts

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

guoqiao0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

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Skill instructions

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
  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:
{
   "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", ...)

Source information

Source
github
Repository
openclaw/skills
Path
skills/guoqiao/mlx-tts
Version
—
Commit
b9e4326b7f22f8c8570fd5b1b085f1b8e59b97db
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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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