Agent skill · creative production · sundial-org
pocket-tts
pocket-tts — an agent skill for coding agents.
Why this skill is useful
Provides a local text-to-speech solution with specific voice models and cloning capabilities that the AI wouldn't generate on its own.
What it needs
Requires pocket-tts, pytorch installed locally. About 2k tokens when loaded. Last updated 2026-03-07. 639 stars on the source repository.
What this skill does
Pocket TTS Skill Fully local, offline text-to-speech using Kyutai's Pocket TTS model. Generate high-quality audio from text without any API calls or internet connection. Features 8 built-in voices, voice cloning support, and runs entirely on CPU. Features 🎯 Fully local - No API calls, runs completely offline 🚀 CPU-only - No GPU required, works on any computer ⚡ Fast generation - ~2-6x real-time on CPU 🎤 8 built-in voices - alba, marius, javert, jean, fantine, cosette, eponine, azelma 🎭 Voice cloning - Clone any voice from a WAV sample 🔊 Low latency - ~200ms first audio chunk 📚 Simple Python API - Easy integration into any project Installation Usage CLI Python API Available Voices Voice Description ------- ------------- alba Casual female voice marius Male voice javert Clear male voice jean Natural male voice fantine Female voice cosette Female voice eponine Female voice azelma Female voice Or use --voice-file /path/to/wav.wav for custom voice cloning. Options Option Description Default -------- ------------- --------- text Text to convert Required -o, --output Output WAV file output.wav -v, --voice Voice preset alba -s, --speed Speech speed (0.5-2.0) 1.0 --voice-file Custom WAV for cloning None --serve Start HTTP server False --list-voices List all voices False Requirements Python 3.10-3.14 PyTorch 2.5+ (CPU version works) Works on 2 CPU cores Notes ⚠️ Model is gated - accept license on Hugging Face first 🌍 English language only (v1) 💾 First run downloads model (~100M parameters) 🔊 Audio is returned as 1D torch tensor (PCM data) Links Demo GitHub Hugging Face Paper
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sundial-org/pocket-tts