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mlx-stt
Speech-To-Text with MLX (Apple Silicon) and opensource models (default GLM-ASR-Nano-2512) locally.
Installation
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-sttInspect 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.
Skill instructions
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 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:
-
ffmpeg: convert audio format when needed -
uv: install python package and run python script -
mlx_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.
Source information
- Source
- github
- Repository
- openclaw/skills
- Path
- skills/guoqiao/mlx-stt
- Version
- 1.0.7
- Commit
- 93b85bb6e3f1d4f9a2671966c9204a420a9e0ff6
- 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 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 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:
- `ffmpeg`: convert audio format when needed
- `uv`: install python package and run python script
- `mlx_audio`: do the real job
## Usage
To transcribe an audio file, run this script:
```bash
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.Related skills
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