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MLX STT
Speech-To-Text with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally.
安全通过
技能说明
name: mlx-stt description: Speech-To-Text with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally. version: 1.0.7 author: guoqiao metadata: {"openclaw":{"always":true,"emoji":"🦞","homepage":"https://github.com/guoqiao/skills/blob/main/mlx-stt/mlx-stt/SKILL.md","os":["darwin"],"requires":{"bins":["brew"]}}} triggers:
- "/mlx-stt <audio>"
- "STT ..."
- "ASR ..."
- "Transcribe ..."
- "Convert audio to text ..."
MLX STT
Speech-To-Text/ASR/Transcribe with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally.
Free and Accurate. No api key required. No server required.
Requirements
mlx: macOS with Apple Siliconbrew: 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:
ffmpeg: convert audio format when neededuv: install python package and run python scriptmlx_audio: do the real job
Usage
To transcribe an audio file, run this script:
bash ${baseDir}/mlx-stt.sh <audio_file_path>
- First run could be a little slow, since it will need to download model.
- The transcript result will be printed to stdout.
如何使用「MLX STT」?
- 打开小龙虾AI(Web 或 iOS App)
- 点击上方「立即使用」按钮,或在对话框中输入任务描述
- 小龙虾AI 会自动匹配并调用「MLX STT」技能完成任务
- 结果即时呈现,支持继续对话优化