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Voice Reply

Local text-to-speech using Piper voices via sherpa-onnx. 100% offline, no API keys required. Use when user asks for a voice reply, audio response, spoken answer, or wants to hear something read aloud. Supports multiple languages including German (thorsten) and English (ryan) voices. Outputs Telegram-compatible voice notes with [[audio_as_voice]] tag.

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Local text-to-speech using Piper voices via sherpa-onnx. 100% offline, no API keys required. Use when user asks for a voice reply, audio response, spoken answer, or wants to hear something read aloud. Supports multiple languages including German (thorsten) and English (ryan) voices. Outputs Telegram-compatible voice notes with [[audio_as_voice]] tag.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, SKILL.md, scripts/install.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.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 15 sections Open source page

Voice Reply

Generate voice audio replies using local Piper TTS via sherpa-onnx. Completely offline, no cloud APIs needed.

Features

100% Local - No internet connection required after setup No API Keys - Free to use, no accounts needed Multi-language - German and English voices included Telegram Ready - Outputs voice notes that display as bubbles Auto-detect Language - Automatically selects voice based on text

Prerequisites

sherpa-onnx runtime installed Piper voice models downloaded ffmpeg for audio conversion

Quick Install

cd scripts sudo ./install.sh

Manual Installation

1. Install sherpa-onnx sudo mkdir -p /opt/sherpa-onnx cd /opt/sherpa-onnx curl -L -o sherpa.tar.bz2 "https://github.com/k2-fsa/sherpa-onnx/releases/download/v1.12.23/sherpa-onnx-v1.12.23-linux-x64-shared.tar.bz2" sudo tar -xjf sherpa.tar.bz2 --strip-components=1 rm sherpa.tar.bz2 2. Download Voice Models sudo mkdir -p /opt/piper-voices cd /opt/piper-voices # German - thorsten (medium quality, natural male voice) curl -L -o thorsten.tar.bz2 "https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-piper-de_DE-thorsten-medium.tar.bz2" sudo tar -xjf thorsten.tar.bz2 && rm thorsten.tar.bz2 # English - ryan (high quality, clear US male voice) curl -L -o ryan.tar.bz2 "https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-piper-en_US-ryan-high.tar.bz2" sudo tar -xjf ryan.tar.bz2 && rm ryan.tar.bz2 3. Install ffmpeg sudo apt install -y ffmpeg 4. Set Environment Variables Add to your OpenClaw service or shell: export SHERPA_ONNX_DIR="/opt/sherpa-onnx" export PIPER_VOICES_DIR="/opt/piper-voices"

Usage

{baseDir}/bin/voice-reply "Text to speak" [language]

Parameters

ParameterDescriptionDefaulttextThe text to convert to speech(required)languagede for German, en for Englishauto-detect

Examples

# German (explicit) {baseDir}/bin/voice-reply "Hallo, ich bin dein Assistent!" de # English (explicit) {baseDir}/bin/voice-reply "Hello, I am your assistant!" en # Auto-detect (detects German from umlauts and common words) {baseDir}/bin/voice-reply "Guten Tag, wie geht es dir?" # Auto-detect (defaults to English) {baseDir}/bin/voice-reply "The weather is nice today."

Output Format

The script outputs two lines that OpenClaw processes for Telegram: [[audio_as_voice]] MEDIA:/tmp/voice-reply-output.ogg [[audio_as_voice]] - Tag that tells Telegram to display as voice bubble MEDIA:path - Path to the generated OGG Opus audio file

Available Voices

LanguageVoiceQualityDescriptionGerman (de)thorstenmediumNatural male voice, clear pronunciationEnglish (en)ryanhighClear US male voice, professional tone

Adding More Voices

Browse available Piper voices at: https://rhasspy.github.io/piper-samples/ https://github.com/k2-fsa/sherpa-onnx/releases/tag/tts-models Download and extract to $PIPER_VOICES_DIR, then modify the script to include the new voice.

"TTS binary not found"

Ensure SHERPA_ONNX_DIR is set and contains bin/sherpa-onnx-offline-tts.

"Failed to generate audio"

Check that voice model files exist: *.onnx, tokens.txt, espeak-ng-data/

Audio plays as file instead of voice bubble

Ensure the output includes [[audio_as_voice]] tag on its own line before the MEDIA: line.

Credits

sherpa-onnx - Offline speech processing Piper - Fast local TTS voices Thorsten Voice - German voice dataset

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs1 Scripts
  • SKILL.md Primary doc
  • README.md Docs
  • scripts/install.sh Scripts