Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Pocket Tts
Generate high-quality English speech offline on CPU using 8 built-in voices or custom voice cloning with Kyutai's Pocket TTS model.
skill openclawclawhub Free
Generate high-quality English speech offline on CPU using 8 built-in voices or custom voice cloning with Kyutai's Pocket TTS model.
β¬ 0 downloads β
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, cli.py, install.sh, test.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- sherajdev
- Source page
- View original listing
- Canonical URL
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Documentation
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
π― Fully local - No API calls, runs completely offline π CPU-only - No GPU required, works on any computer β‘ Fast generation - ~2-6x real-time on CPU π€ 8 built-in voices - alba, marius, javert, jean, fantine, cosette, eponine, azelma π Voice cloning - Clone any voice from a WAV sample π Low latency - ~200ms first audio chunk π Simple Python API - Easy integration into any project
Installation
# 1. Accept the model license on Hugging Face # https://huggingface.co/kyutai/pocket-tts # 2. Install the package pip install pocket-tts # Or use uv for automatic dependency management uvx pocket-tts generate "Hello world"
CLI
# Basic usage pocket-tts "Hello, I am your AI assistant" # With specific voice pocket-tts "Hello" --voice alba --output hello.wav # With custom voice file (voice cloning) pocket-tts "Hello" --voice-file myvoice.wav --output output.wav # Adjust speed pocket-tts "Hello" --speed 1.2 # Start local server pocket-tts --serve # List available voices pocket-tts --list-voices
Python API
from pocket_tts import TTSModel import scipy.io.wavfile # Load model tts_model = TTSModel.load_model() # Get voice state voice_state = tts_model.get_state_for_audio_prompt( "hf://kyutai/tts-voices/alba-mackenna/casual.wav" ) # Generate audio audio = tts_model.generate_audio(voice_state, "Hello world!") # Save to WAV scipy.io.wavfile.write("output.wav", tts_model.sample_rate, audio.numpy()) # Check sample rate print(f"Sample rate: {tts_model.sample_rate} Hz")
Available Voices
VoiceDescriptionalbaCasual female voicemariusMale voicejavertClear male voicejeanNatural male voicefantineFemale voicecosetteFemale voiceeponineFemale voiceazelmaFemale voice Or use --voice-file /path/to/wav.wav for custom voice cloning.
Options
OptionDescriptionDefaulttextText to convertRequired-o, --outputOutput WAV fileoutput.wav-v, --voiceVoice presetalba-s, --speedSpeech speed (0.5-2.0)1.0--voice-fileCustom WAV for cloningNone--serveStart HTTP serverFalse--list-voicesList all voicesFalse
Requirements
Python 3.10-3.14 PyTorch 2.5+ (CPU version works) Works on 2 CPU cores
Notes
β οΈ Model is gated - accept license on Hugging Face first π English language only (v1) πΎ First run downloads model (~100M parameters) π Audio is returned as 1D torch tensor (PCM data)
Links
Demo GitHub Hugging Face Paper
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts1 Docs
- SKILL.md
- cli.py
- install.sh
- test.sh