Clonev

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name: clonev description: 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).

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CloneV Skill - Voice Cloning Made Simple

⚠️ 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.

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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.

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The ONE Command You Need

$(scripts/clonev.sh "Your text here" /path/to/voice_sample.wav language)

That's it! Nothing else needed.

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Step-by-Step Usage (FOR AI MODELS)

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.

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Complete Working Examples

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

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Common Language Codes

| Code | Language | Example Usage | |------|----------|---------------| | en | English | scripts/clonev.sh "Hello" sample.wav en | | cs | Czech | scripts/clonev.sh "Ahoj" sample.wav cs | | de | German | scripts/clonev.sh "Hallo" sample.wav de | | fr | French | scripts/clonev.sh "Bonjour" sample.wav fr | | es | Spanish | scripts/clonev.sh "Hola" sample.wav es |

Full list: en, cs, de, fr, es, it, pl, pt, tr, ru, nl, ar, zh, ja, hu, ko

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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)

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⚠️ Important Notes

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

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Troubleshooting

"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)

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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"

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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.

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Summary

1. ONLY use the script: scripts/clonev.sh 2. NEVER try to use Docker containers directly 3. NEVER try to interact with the coqui-xtts container 4. Script handles everything automatically 5. Returns path to OGG file ready to send

Simple. Just use the script.

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*Clone any voice. Speak any language. Just use the script.*

"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)

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