Where is the TTS engine and model installed on my system?

The engine, virtual environment, and model assets are installed in the ~/.local/share/kokoro/ directory to keep your system environment clean.

How do I verify the installation was successful?

The installation script includes a verification step that runs a 'Warm up' synthesis. You can also run the built-in health check command provided by the plugin.

Does this skill work on Intel-based Macs or Linux?

No, this skill is specifically designed for Apple Silicon (M1/M2/M3) because it relies on the MLX-Audio framework for hardware-accelerated synthesis on macOS.

What are the main prerequisites for installation?

You need an Apple Silicon Mac, the 'uv' package manager installed (usually via Homebrew), and Python 3.13 available in your environment.

What should I do if the installation fails?

Ensure you have 'uv' installed via 'brew install uv' and that you are using an arm64 terminal. If an old installation exists, use the --uninstall flag before trying again.

Kokoro TTS Installer

Name: Kokoro TTS Installer
Author: terrylica

byterrylica

•

数据科学与机器学习

Automates the installation and configuration of the Kokoro Text-to-Speech engine optimized for Apple Silicon.

This skill streamlines the setup of the Kokoro-82M text-to-speech model specifically for macOS users with Apple Silicon (M1/M2/M3). It manages the entire environment lifecycle, including Python 3.13 virtual environment creation via uv, installation of high-performance MLX-Audio dependencies, and automatic model downloading from HuggingFace. By providing a 'fail-fast' preflight check and automated verification synthesis, it ensures a friction-free experience for developers looking to integrate local, high-quality AI voice synthesis into their workflows without manual configuration hurdles.

主要功能

01Automated Kokoro-82M-bf16 model downloading from HuggingFace

02Optimized MLX-Audio dependency installation for hardware acceleration

0325 GitHub stars

04Isolated Python 3.13 environment management using uv

05Automated Apple Silicon (M1+) hardware compatibility verification

06Built-in health checks and verification synthesis to ensure functionality

使用场景

01Integrating high-quality AI voice synthesis into local productivity and automation workflows

02Setting up a local, privacy-focused text-to-speech engine for development

03Automating environment configuration for MLX-based audio projects on macOS

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add terrylica/cc-skills install

For use in Claude.ai and ChatGPT