mlx-tts
Text-To-Speech with MLX (Apple Silicon) and opensource models (default QWen3-TTS) locally.
Quellinformationen
- Repository
- guoqiao/skills
- Letzte Quellaktivität
- 11. Februar 2026 um 22:07
- Erkannte Sprache von SKILL.md
- Englisch
- Sterne
- 0
- Forks
- 0
Installationsoptionen
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Datei-Explorer
3 DateienSKILL.md wird angezeigt
SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau- 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":"[Truncated]"}}}
- triggers
- ["/mlx-tts <text>","TTS ...","Convert text to audio ...","Say <text>","Reply with voice message ..."]
# 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", ...)`
Auf GitHub ansehen