Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Clonev
Clone any voice and generate speech using Coqui XTTS v2. SUPER SIMPLE - provide a voice sample (6-30 sec WAV) and text, get cloned voice audio. Supports 14+ languages. Use when the user wants to (1) Clone their voice or someone else's voice, (2) Generate speech that sounds like a specific person, (3) Create personalized voice messages, (4) Multi-lingual voice cloning (speak any language with cloned voice).
skill openclawclawhub Free
Clone any voice and generate speech using Coqui XTTS v2. SUPER SIMPLE - provide a voice sample (6-30 sec WAV) and text, get cloned voice audio. Supports 14+ languages. Use when the user wants to (1) Clone their voice or someone else's voice, (2) Generate speech that sounds like a specific person, (3) Create personalized voice messages, (4) Multi-lingual voice cloning (speak any language with cloned voice).
⬇ 0 downloads ★ 0 stars Unverified but indexed
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, references/complete-guide.md, scripts/clonev.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.
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. 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
Provenance
- Publisher
- instant-picture
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
⚠️ CRITICAL INSTRUCTIONS FOR AI MODELS
DO NOT try to use Docker containers directly. DO NOT try to interact with coqui-xtts container - it is broken and restarting. DO NOT try to use APIs or servers. ONLY USE THE SCRIPT: scripts/clonev.sh The script handles everything automatically. Just call it with text, voice sample, and language.
What This Skill Does
Clones any voice from a short audio sample and generates new speech in that voice. Input: Text to speak Voice sample (WAV file, 6-30 seconds) Language code Output: OGG voice file (cloned voice speaking the text) Works with: Any voice! Yours, a celebrity, a character, etc.
The ONE Command You Need
$(scripts/clonev.sh "Your text here" /path/to/voice_sample.wav language) That's it! Nothing else needed.
Step 1: Get the required inputs
Text to speak (from user) Path to voice sample WAV file (from user) Language code (from user or default to en)
Step 2: Run the script
VOICE_FILE=$(scripts/clonev.sh "TEXT_HERE" "/path/to/sample.wav" LANGUAGE)
Step 3: Use the output
The variable $VOICE_FILE now contains the path to the generated OGG file.
Example 1: Clone voice and send to Telegram
# Generate cloned voice VOICE=$(/home/bernie/clawd/skills/clonev/scripts/clonev.sh "Hello, this is my cloned voice!" "/mnt/c/TEMP/Recording 25.wav" en) # Send to Telegram (as voice message) message action=send channel=telegram asVoice=true filePath="$VOICE"
Example 2: Clone voice in Czech
# Generate Czech voice VOICE=$(/home/bernie/clawd/skills/clonev/scripts/clonev.sh "Ahoj, tohle je můj hlas" "/mnt/c/TEMP/Recording 25.wav" cs) # Send message action=send channel=telegram asVoice=true filePath="$VOICE"
Example 3: Full workflow with check
#!/bin/bash # Generate voice VOICE=$(/home/bernie/clawd/skills/clonev/scripts/clonev.sh "Task completed!" "/path/to/sample.wav" en) # Verify file was created if [ -f "$VOICE" ]; then echo "Success! Voice file: $VOICE" ls -lh "$VOICE" else echo "Error: Voice file not created" fi
Common Language Codes
CodeLanguageExample UsageenEnglishscripts/clonev.sh "Hello" sample.wav encsCzechscripts/clonev.sh "Ahoj" sample.wav csdeGermanscripts/clonev.sh "Hallo" sample.wav defrFrenchscripts/clonev.sh "Bonjour" sample.wav fresSpanishscripts/clonev.sh "Hola" sample.wav es Full list: en, cs, de, fr, es, it, pl, pt, tr, ru, nl, ar, zh, ja, hu, ko
Voice Sample Requirements
Format: WAV file Length: 6-30 seconds (optimal: 10-15 seconds) Quality: Clear audio, no background noise Content: Any speech (the actual words don't matter) Good samples: ✅ Recording of someone speaking clearly ✅ No music or noise in background ✅ Consistent volume Bad samples: ❌ Music or songs ❌ Heavy background noise ❌ Very short (< 6 seconds) ❌ Very long (> 30 seconds)
Model Download
First use downloads ~1.87GB model (one-time) Model is stored at: /mnt/c/TEMP/Docker-containers/coqui-tts/models-xtts/ Status: ✅ Already downloaded
Processing Time
Takes 20-40 seconds depending on text length This is normal - voice cloning is computationally intensive
"Command not found"
Make sure you're in the skill directory or use full path: /home/bernie/clawd/skills/clonev/scripts/clonev.sh "text" sample.wav en
"Voice sample not found"
Check the path to the WAV file Use absolute paths (starting with /) Ensure file exists: ls -la /path/to/sample.wav
"Model not found"
The model should auto-download. If not: cd /mnt/c/TEMP/Docker-containers/coqui-tts docker run --rm --entrypoint "" \ -v $(pwd)/models-xtts:/root/.local/share/tts \ ghcr.io/coqui-ai/tts:latest \ python3 -c "from TTS.api import TTS; TTS('tts_models/multilingual/multi-dataset/xtts_v2')"
Poor voice quality
Use clearer voice sample Ensure no background noise Try different sample (some voices clone better)
Quick Reference Card (FOR AI MODELS)
USER: "Clone my voice and say 'hello'" → Get: sample path, text="hello", language="en" → Run: VOICE=$(/home/bernie/clawd/skills/clonev/scripts/clonev.sh "hello" "/path/to/sample.wav" en) → Result: $VOICE contains path to OGG file → Send: message action=send channel=telegram asVoice=true filePath="$VOICE" USER: "Make me speak Czech" → Get: sample path, text="Ahoj", language="cs" → Run: VOICE=$(/home/bernie/clawd/skills/clonev/scripts/clonev.sh "Ahoj" "/path/to/sample.wav" cs) → Send: message action=send channel=telegram asVoice=true filePath="$VOICE"
Output Location
Generated files are saved to: /mnt/c/TEMP/Docker-containers/coqui-tts/output/clonev_output.ogg The script returns this path, so you can use it directly.
Summary
ONLY use the script: scripts/clonev.sh NEVER try to use Docker containers directly NEVER try to interact with the coqui-xtts container Script handles everything automatically Returns path to OGG file ready to send Simple. Just use the script. Clone any voice. Speak any language. Just use the script.
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts
- SKILL.md
- references/complete-guide.md
- scripts/clonev.sh