Task Router Skill
Task Router
Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install guoqiao/mlx-ttsInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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.ogg
message(action="send", filePath="/tmp/folder/audio.ogg", ...)
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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", ...)`Task Router
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