mlx-speech
Local speech synthesis, cloning, and transcription on Apple Silicon
All Skills in This Repository (6)
Pure Emerald Level Indicatorsauto-verify
Verify completed project plans against acceptance criteria via command execution.
auto-frame
Transform user requests into bounded SPEC.md project specifications.
auto-eng-review
Validate technical implementation plans for architectural integrity, safety, and operational risk.
auto-execute
Orchestrate approved project plan slices via direct execution or subagent dispatch.
auto-plan
Convert project specifications into ordered, verifiable execution slices.
auto-resume
Reconstruct project context and execution state from git history and state files.
Frequently Asked Questions
FAQPage SchemaHow to install mlx-speech?โผ
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?โผ
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?โผ
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?โผ
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?โผ
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 Engineeringโopenclaw
Run a personal AI assistant across your devices and chat apps
superpowers
Gives coding agents a disciplined workflow from idea to merged code
react
AI agent skills for building, testing, and porting React core