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.

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-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.

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

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

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)

⚠️ 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

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)

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.

Clonev

AI Skill Market Insights

Be Part of the 0+ Developer Community

CloneV Skill - Voice Cloning Made Simple

⚠️ CRITICAL INSTRUCTIONS FOR AI MODELS

What This Skill Does

The ONE Command You Need

Step-by-Step Usage (FOR AI MODELS)

Step 1: Get the required inputs

Step 2: Run the script

Step 3: Use the output

Complete Working Examples

Example 1: Clone voice and send to Telegram

Send to Telegram (as voice message)

Example 2: Clone voice in Czech

Send

Example 3: Full workflow with check

Generate voice

Verify file was created

Common Language Codes

Voice Sample Requirements

⚠️ Important Notes

Model Download

Processing Time

Troubleshooting

"Command not found"

"Voice sample not found"

"Model not found"

Poor voice quality

Quick Reference Card (FOR AI MODELS)

Output Location

Summary

Quick Start

Manual Installation

TEAR & SHARE

Tags

Channels

Learn

Compare

Company