Agent skill · software engineering · sundial-org
mlx-whisper
Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key).
Why this skill is useful
Provides specific commands and usage patterns for local speech-to-text processing that the AI wouldn't reliably generate on its own.
What it needs
Requires mlx-whisper installed locally. About 1k tokens when loaded. Last updated 2026-03-07. 639 stars on the source repository.
What this skill does
MLX Whisper Local speech-to-text using Apple MLX, optimized for Apple Silicon Macs. Quick Start Common Usage Models (download on first use) Model Size Speed Quality ------- ------ ------- --------- mlx-community/whisper-tiny ~75MB Fastest Basic mlx-community/whisper-base ~140MB Fast Good mlx-community/whisper-small ~470MB Medium Better mlx-community/whisper-medium ~1.5GB Slower Great mlx-community/whisper-large-v3 ~3GB Slowest Best mlx-community/whisper-large-v3-turbo ~1.6GB Fast Excellent (Recommended) Notes Requires Apple Silicon Mac (M1/M2/M3/M4) Models cache to ~/.cache/huggingface/ Default model is mlx-community/whisper-tiny; use --model mlx-community/whisper-large-v3-turbo for best results
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sundial-org/mlx-whisper