appautomatonappautomatonOfficialยท6 Agent Skills Included

mlx-speech

Local speech synthesis, cloning, and transcription on Apple Silicon

Runs text-to-speech, voice cloning, audio editing, and speech-to-text entirely on Apple Silicon using pure MLX. Eliminates cloud APIs, PyTorch dependencies, and manual model conversion with ready-to-load local checkpoints. Includes stage-gated planning skills that frame, plan, execute, and verify coding work automatically.
npx skills add appautomaton/mlx-speech --all -g -y
Available:

Directs the agent through a stage-gated frame-plan-execute-verify workflow, enforcing pure-MLX runtime rules, dependency limits, and tiered test requirements before reporting work complete.

All Skills in This Repository (6)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install mlx-speech?โ–ผ

Run `npx skills add appautomaton/mlx-speech --all -g -y` in your terminal to install all skills in this suite globally.

How to run text-to-speech locally on a Mac?โ–ผ

Load a model like fish-s2-pro or vibevoice through the Python API or CLI, and it generates waveform audio entirely on your Apple Silicon chip with no cloud calls.

Can mlx-speech clone voices and edit audio?โ–ผ

Yes. Models like Fish S2 Pro, Step-Audio-EditX, and dots.tts support voice cloning from a reference clip, emotion tags, and audio editing.

Does mlx-speech support speech-to-text transcription?โ–ผ

Yes. It includes multilingual ASR models such as Cohere Transcribe, Qwen3-ASR, Granite Speech, and a streaming Nemotron model for incremental transcription.

What do the auto-plan and auto-execute skills do?โ–ผ

They turn an approved request into ordered, verifiable work slices, then implement and test each slice automatically with per-slice commits and a final independent verification pass.

Related Repositories in Software Engineering

View All in Software Engineeringโ†’