> Gives any OpenClaw agent a complete voice layer via ElevenLabs. Clones the principal's voice from audio samples, converts any text to MP3 audio (VSL, podcasts, video narrations, nurturing sequences), and deploys a conversational AI agent for automated inbound and outbound calls via Twilio. Use when the agent needs to generate audio content, call leads, or answer prospects 24/7 in the principal's cloned voice. Requires ELEVENLABS_API_KEY and ELEVENLABS_VOICE_ID — see Setup section in SKILL.md.
Install with the open skills CLI (global, non-interactive — available in every Claude Code session):
npx skills add LeoYeAI/openclaw-master-skills --skill "voice-agent-pro-v3" -g -a claude-code -yOr manually — clone and copy the skill directory (SKILL.md + companion files):
git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills /tmp/openclaw-master-skills && cp -r /tmp/openclaw-master-skills/skills/voice-agent-pro-v1 ~/.claude/skills/voice-agent-pro-v3This skill is a directory: SKILL.md is the entry point; the files below ship with it.
---
name: voice-agent-pro-v3
description: >
Gives any OpenClaw agent a complete voice layer via ElevenLabs.
Clones the principal's voice from audio samples, converts any text
to MP3 audio (VSL, podcasts, video narrations, nurturing sequences),
and deploys a conversational AI agent for automated inbound and
outbound calls via Twilio. Use when the agent needs to generate
audio content, call leads, or answer prospects 24/7 in the
principal's cloned voice. Requires ELEVENLABS_API_KEY and
ELEVENLABS_VOICE_ID — see Setup section in SKILL.md.
version: 3.1.0
author: Wesley Armando (Georges Andronescu)
license: MIT
metadata:
openclaw:
emoji: "🎙️"
security_level: L2
required_paths:
read:
- /workspace/voice/config.json
- /workspace/voice/scripts/
- /workspace/voice/samples/
- /workspace/voice/references/setup_guide.md
- /workspace/.learnings/LEARNINGS.md
write:
- /workspace/voice/config.json
- /workspace/voice/output/
- /workspace/voice/calls/
- /workspace/.learnings/
- /workspace/AUDIT.md
network_behavior:
makes_requests: true
request_targets:
- https://api.elevenlabs.io (ElevenLabs REST API — requires ELEVENLABS_API_KEY)
- https://api.twilio.com (Twilio REST API — optional, requires TWILIO_ACCOUNT_SID)
- https://api.telegram.org (Telegram Bot API — requires TELEGRAM_BOT_TOKEN)
uses_agent_telegram: true
requires.env:
- TELEGRAM_BOT_TOKEN
- TELEGRAM_CHAT_ID
- ELEVENLABS_API_KEY
- ELEVENLABS_VOICE_ID
- TWILIO_ACCOUNT_SID
- TWILIO_AUTH_TOKEN
- TWILIO_PHONE_NUMBER
---
# Voice Agent Pro V3 — Autonomous Voice Layer
> "The most trusted voice in any room is the one that sounds like you."
This skill gives the principal a voice — their own voice — deployed at scale.
```
LAYER 1 — VOICE SETUP
Clones the principal's voice from MP3 samples via ElevenLabs API
Requires ELEVENLABS_API_KEY and ELEVENLABS_VOICE_ID in .env
Full setup guide with all commands: references/setup_guide.md
LAYER 2 — TEXT TO SPEECH
Converts any text to MP3 using the principal's cloned voice
VSL scripts, podcast intros, video narrations, email audio versions
LAYER 3 — CONVERSATIONAL AGENT (with Twilio)
Outbound calls to leads — automated follow-up
Inbound calls — answers 24/7, qualifies, reports
```
---
## SETUP — Required Before First Use
### Step 1 — Install dependencies
The agent runs these commands **inside the OpenClaw container**.
If you prefer to run them manually from your VPS host, use:
`docker exec openclaw-yyvg-openclaw-1 pip install elevenlabs --break-system-packages`
```bash
# Inside the container (agent runs this directly)
pip install elevenlabs --break-system-packages
pip install twilio --break-system-packages
apt-get update && apt-get install -y ffmpeg
# Verify
ffmpeg -version | head -1
python3 -c "from elevenlabs.client import ElevenLabs; print('✅ SDK ready')"
```
> Note: `--break-system-packages` is required on Ubuntu 24.04 / Debian 12+
> containers. If you get an "externally-managed-environment" error, this
> flag resolves it. On older systems, plain `pip install elevenlabs` works.
### Step 2 — Access ElevenLabs
```
OPTION A — Via virtual-desktop (if installed)
If the virtual-desktop skill is installed and a Google session
is active in the browser, the agent can navigate elevenlabs.io
and create the API key automatically:
→ Go to: https://elevenlabs.io/app/sign-in
→ Click "Continue with Google" (uses active session)
→ Navigate: Developers → API Keys → Create API Key
→ Copy the key and run apply-config (Step 6)
OPTION B — Manual (recommended for first setup)
→ Go to: https://elevenlabs.io/app/settings/api-keys
→ Click "Create API Key" → name it → copy it
→ Add to your agent .env file: ELEVENLABS_API_KEY=sk_...
```
```bash
# Verify it works
curl -s https://api.elevenlabs.io/v1/user \
-H "xi-api-key: $ELEVENLABS_API_KEY" | python3 -m json.tool
# Expected: JSON with subscription info — if 401, key is wrong
```
### Step 3 — Clone your voice
Provide 3 MP3 files of your voice (30-60 seconds each, clear audio)
in `/workspace/voice/samples/` before running this step.
#### Via Python SDK
```python
from elevenlabs.client import ElevenLabs
import json, os
client = ElevenLabs(api_key=os.environ["ELEVENLABS_API_KEY"])
voice = client.voices.ivc.create(
name="[AGENT_VOICE_NAME]",
description="[PRINCIPAL_NAME] cloned voice",
files=[
"/workspace/voice/samples/sample_01.mp3",
"/workspace/voice/samples/sample_02.mp3",
"/workspace/voice/samples/sample_03.mp3",
],
)
print(f"Voice ID: {voice.voice_id}")
# Save to config.json
with open("/workspace/voice/config.json") as f:
config = json.load(f)
config["ELEVENLABS_VOICE_ID"] = voice.voice_id
with open("/workspace/voice/config.json", "w") as f:
json.dump(config, f, indent=2)
print("✅ Voice ID saved to config.json")
```
#### Via curl
```bash
VOICE_ID=$(curl -s -X POST https://api.elevenlabs.io/v1/voices/add \
-H "xi-api-key: $ELEVENLABS_API_KEY" \
-F "name=[AGENT_VOICE_NAME]" \
-F "description=[PRINCIPAL_NAME] cloned voice" \
-F "files=@/workspace/voice/samples/sample_01.mp3" \
-F "files=@/workspace/voice/samples/sample_02.mp3" \
-F "files=@/workspace/voice/samples/sample_03.mp3" \
| python3 -c "import sys,json; print(json.load(sys.stdin)['voice_id'])")
echo "Voice ID: $VOICE_ID"
# Add to your agent .env: ELEVENLABS_VOICE_ID=$VOICE_ID
```
### Step 4 — List voices (verify clone)
```bash
curl -s https://api.elevenlabs.io/v1/voices \
-H "xi-api-key: $ELEVENLABS_API_KEY" \
| python3 -c "
import sys, json
for v in json.load(sys.stdin)['voices']:
print(f"{v['voice_id']} | {v['name']} | {v['category']}")
"
```
### Step 5 — Test the clone
```bash
python3 -c "
from elevenlabs.client import ElevenLabs
import os, json
with open('/workspace/voice/config.json') as f:
cfg = json.load(f)
client = ElevenLabs(api_key=cfg['ELEVENLABS_API_KEY'])
audio = client.text_to_speech.convert(
text='Voice clone test successful.',
voice_id=cfg['ELEVENLABS_VOICE_ID'],
model_id='eleven_multilingual_v2',
output_format='mp3_44100_128',
)
import os; os.makedirs('/workspace/voice/output', exist_ok=True)
with open('/workspace/voice/output/test_clone.mp3', 'wb') as f:
for chunk in audio:
f.write(chunk)
print('✅ Test audio: /workspace/voice/output/test_clone.mp3')
"
```
### Step 6 — Apply config and verify
```bash
# Apply credentials to config.json (no container restart needed)
python3 /workspace/voice/scripts/voice_generator.py apply-config \
--api-key "$ELEVENLABS_API_KEY" \
--voice-id "$ELEVENLABS_VOICE_ID"
# Verify everything is ready
python3 /workspace/voice/scripts/voice_generator.py status
# Expected:
# API Key: ✅ configured
# Voice ID: ✅ abc123...
```
> The skill reads credentials from config.json at runtime —
> no container restart needed after updating credentials.
> For browser dashboard navigation guide (step-by-step with screenshots):
> `references/setup_guide.md`
---
## PHASE 1 — TEXT TO SPEECH
Converts any text to audio using the principal's cloned voice.
### Use Cases
```
VSL (Video Sales Letter)
Input: /workspace/voice/scripts/vsl_[offer].md
Output: /workspace/voice/output/vsl_[offer].mp3
Use: record your VSL once — never again
PODCAST INTRO / OUTRO
Input: /workspace/voice/scripts/podcast_[episode].md
Output: /workspace/voice/output/podcast_[episode].mp3
VIDEO NARRATION
Input: text from content-creator-pro queue
Output: MP3 ready for CapCut / video editor
EMAIL AUDIO VERSION
Input: email text from acquisition-master sequences
Output: MP3 attached or linked in email
SOCIAL AUDIO CLIPS
Input: hook text from content-creator-pro
Output: 15-30 second MP3 for Instagram, Twitter Spaces
```
### TTS Models
```
eleven_flash_v2_5 → 75ms latency — use for real-time / calls
eleven_multilingual_v2 → best quality — use for VSL / podcasts
eleven_v3 → most expressive — use for storytelling content
```
### TTS Process
```
1. Read script from /workspace/voice/scripts/[name].md
2. Split into chunks of max 900 characters (sentence boundaries)
3. Call ElevenLabs TTS API for each chunk
4. Concatenate chunks with ffmpeg → single MP3
5. Save to /workspace/voice/output/[name].mp3
6. Log to AUDIT.md: "TTS generated: [name].mp3 — [duration]s"
7. Notify principal via Telegram with file path
```
### CLI Usage
```bash
# Generate from text
python3 /workspace/voice/scripts/voice_generator.py tts \
--text "Hello, this is [PRINCIPAL_NAME]." \
--output /workspace/voice/output/hello.mp3
# Generate from script file
python3 /workspace/voice/scripts/voice_generator.py tts \
--script /workspace/voice/scripts/vsl_offer.md \
--model eleven_multilingual_v2
# Check status
python3 /workspace/voice/scripts/voice_generator.py status
```
---
## PHASE 2 — CONVERSATIONAL CALLS (requires Twilio)
### Setup Twilio
```bash
# Add to your agent .env file:
TWILIO_ACCOUNT_SID=ACxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
TWILIO_AUTH_TOKEN=your_auth_token
TWILIO_PHONE_NUMBER=+1234567890
# Twilio account: console.twilio.com
# Phone number: ~$1/month
```
### Connect Twilio to ElevenLabs Agent
```
1. Go to: https://elevenlabs.io/app/conversational-ai
2. Click "Create Agent"
3. Name: "[PRINCIPAL_NAME] Sales Agent"
4. Voice: select "[AGENT_VOICE_NAME]"
5. Agent instructions: paste content from templates/agent_prompt.md
6. Save → copy Agent ID → save to config.json
7. Tab "Phone Numbers" → "Add Phone Number"
8. Enter TWILIO_ACCOUNT_SID + TWILIO_AUTH_TOKEN
9. Select TWILIO_PHONE_NUMBER
10. ElevenLabs configures Twilio automatically
```
### Outbound Calls — Lead Follow-up
```
Triggered by:
→ acquisition-master: lead didn't open email after 3 days
→ funnel-builder: lead clicked pricing page but didn't buy
→ Manual: principal requests call to specific number
Call flow:
1. Agent reads lead data from /workspace/voice/calls/pending/
2. Personalizes call script with lead name + context
3. Initiates outbound call via ElevenLabs + Twilio
4. Conversation in real-time (principal's cloned voice)
5. Transcript saved to /workspace/voice/calls/history/
6. Outcome: interested / not_interested / callback / voicemail
7. Telegram notification with transcript summary
Call schedule: Mon-Fri 9h-19h only
Max voicemails: 1 per lead per week
```
### Inbound Calls — 24/7 Qualification
```
When someone calls the Twilio number:
→ Agent answers in principal's cloned voice
→ 3 qualification questions:
Q1: "What's your current situation with [niche problem]?"
Q2: "Have you tried to solve this before?"
Q3: "What would your ideal outcome look like?"
→ Score 8-10: hot lead → books call via Calendly
→ Score 5-7: warm lead → sends free resource by SMS
→ Score 1-4: cold lead → polite close
→ Transcript + score → /workspace/voice/calls/history/
→ Telegram: "📞 Inbound call — [score]/10 — [summary]"
```
### Qualification Scoring
```
Score 8-10 → hot lead → immediate Telegram alert to principal
Score 5-7 → warm lead → add to nurture sequence
Score 1-4 → cold lead → send free resource, no follow-up 30 days
```
### Call CLI
```bash
# List pending calls
python3 /workspace/voice/scripts/voice_generator.py calls --action list
# Weekly call summary
python3 /workspace/voice/scripts/voice_generator.py calls --action summary
```
---
## Troubleshooting Voice Clone
```
PROBLEM: "Insufficient credits" / 403 error
Solution: Check plan at elevenlabs.io/app/subscription
IVC requires Starter ($5/month) minimum
Action: upgrade at https://elevenlabs.io/pricing
PROBLEM: Clone sounds robotic or wrong
Causes:
→ Audio files too short (< 30 seconds each)
→ Background noise in samples
→ Multiple speakers in same file
Solution:
→ Delete the bad clone:
curl -X DELETE https://api.elevenlabs.io/v1/voices/$VOICE_ID \
-H "xi-api-key: $ELEVENLABS_API_KEY"
→ Record better samples (quieter, longer, more natural)
→ Re-run cloning
PROBLEM: Voice ID not found when calling TTS
Solution:
curl -s https://api.elevenlabs.io/v1/voices \
-H "xi-api-key: $ELEVENLABS_API_KEY" \
| python3 -m json.tool | grep -A2 "[AGENT_VOICE_NAME]"
PROBLEM: "Invalid API key" (401 on all requests)
Solution: Regenerate at https://elevenlabs.io/app/settings/api-keys
Update .env and restart agent container
PROBLEM: ffmpeg not found
Solution: apt-get update && apt-get install -y ffmpeg
Verify: ffmpeg -version
```
---
## Quick Reference — API Endpoints
```
Base URL : https://api.elevenlabs.io
Auth : xi-api-key: YOUR_KEY
GET /v1/user → account + subscription info
GET /v1/voices → list all voices
POST /v1/voices/add → create IVC clone (multipart form)
DELETE /v1/voices/{id} → delete a voice
POST /v1/text-to-speech/{id} → generate audio (JSON body)
GET /v1/models → list available models
```
---
## Installation & Setup
### What You Need to Provide
```
MINIMUM (TTS only):
ELEVENLABS_API_KEY → elevenlabs.io → Developers → API Keys
ELEVENLABS_VOICE_ID → created after voice cloning (see Step 3)
3 MP3 voice samples → /workspace/voice/samples/ (30-60s each)
FOR CALLS (add):
TWILIO_ACCOUNT_SID → console.twilio.com
TWILIO_AUTH_TOKEN → console.twilio.com
TWILIO_PHONE_NUMBER → buy a number on Twilio (~$1/month)
AGENT ALREADY HAS:
TELEGRAM_BOT_TOKEN → already in your agent .env
TELEGRAM_CHAT_ID → already in your agent .env
```
### Voice Sample Requirements
```
Minimum : 1 file × 30 seconds
Recommended : 3 files × 1-2 minutes each
Optimal (Professional Clone) : 30+ minutes total
Quality:
→ Clear voice, no background noise
→ Natural speech rhythm
→ Consistent microphone distance
→ Format: MP3, WAV, M4A, FLAC all accepted
→ No multiple speakers in same file
ElevenLabs plan required:
IVC (Instant Voice Clone) : Starter plan ($5/month)
PVC (Professional, hyper-realistic) : Creator plan ($22/month)
```
### Setup Checklist
```
[ ] pip install elevenlabs --break-system-packages
[ ] pip install twilio --break-system-packages (if using calls)
[ ] apt-get update && apt-get install -y ffmpeg
[ ] 3 MP3 samples uploaded to /workspace/voice/samples/
[ ] ELEVENLABS_API_KEY added to agent .env
[ ] ELEVENLABS_VOICE_ID added to agent .env (after cloning)
[ ] python3 voice_generator.py apply-config --api-key ... --voice-id ...
[ ] voice_generator.py status shows ✅ API Key and Voice ID
[ ] Test TTS successful (output MP3 plays correctly)
[ ] (Optional) Twilio credentials added for calls
```
### Cron Schedule
```
# Outbound follow-up calls — Mon-Fri 10h
0 10 * * 1-5 voice-agent-pro-v3 → process /workspace/voice/calls/pending/
# Weekly VSL refresh — Sunday 11h
0 11 * * 0 voice-agent-pro-v3 → regenerate VSLs if scripts updated
# Call transcript review — Monday 9h
0 9 * * 1 python3 /workspace/voice/scripts/voice_generator.py calls --action summary
```
---
## Files Written By This Skill
| File | Frequency | Content |
|---|---|---|
| `/workspace/voice/config.json` | Once (setup) | API keys, Voice ID, Agent ID |
| `/workspace/voice/output/*.mp3` | Per generation | Generated audio files |
| `/workspace/voice/calls/pending/*.json` | Per lead | Calls to make |
| `/workspace/voice/calls/history/*.json` | Per call | Transcript + outcome + score |
| `/workspace/.learnings/LEARNINGS.md` | Weekly | Call patterns, best scripts |
| `/workspace/.learnings/ERRORS.md` | On error | API errors, setup failures |
| `/workspace/AUDIT.md` | On event | TTS generated, calls made, alerts |
---
## Workspace Structure
```
/workspace/voice/
├── config.json ← API keys + Voice ID (from templates/config.json)
├── samples/ ← MP3 voice samples (you provide, 30-60s each)
│ ├── sample_01.mp3
│ ├── sample_02.mp3
│ └── sample_03.mp3
├── scripts/ ← Text scripts to convert to audio
│ └── [name].md
├── output/ ← Generated MP3 files
│ └── [name].mp3
├── calls/
│ ├── pending/ ← Calls to make (written by acquisition-master)
│ │ └── [lead_id].json
│ └── history/ ← Completed call transcripts
│ └── [date]-[lead_id].json
└── references/
└── setup_guide.md ← Full setup commands + browser dashboard guide
```
---
## Constraints
```
❌ Never store voice samples outside /workspace/voice/samples/
❌ Never use the cloned voice to impersonate anyone other than the principal
❌ Never make calls outside working hours (9h-19h Mon-Fri)
❌ Never leave more than 1 voicemail per lead per week
❌ Never fabricate call transcripts or outcomes
✅ Always log every call with transcript to calls/history/
✅ Always notify principal when a hot lead (score 8+) calls
✅ Always respect lead's request to not be contacted again
✅ If ELEVENLABS_API_KEY missing → log to ERRORS.md, notify principal
✅ If voice samples missing → pause cloning, notify principal
✅ Consent: only clone and use the voice of the principal with explicit consent
```
---
## Error Handling
```
ERROR: ELEVENLABS_API_KEY invalid or missing
Action: Verify at https://elevenlabs.io/app/settings/api-keys
Log: ERRORS.md → "API key invalid [date] — check agent .env"
ERROR: Voice samples missing
Action: Do NOT attempt voice cloning
Notify: via Telegram → "Upload 3 MP3 samples to /workspace/voice/samples/"
Log: AUDIT.md → "Voice setup paused — samples missing"
ERROR: API rate limit hit (429)
Action: Wait 60 seconds, retry once
If still failing: queue job for next hour
Log: ERRORS.md → "Rate limit hit — job queued [date]"
ERROR: Twilio call fails
Action: Log failure, mark lead as call_failed in pending/
Retry: next day same time slot
Log: ERRORS.md → "Call failed: [lead_id] — [error] [date]"
ERROR: ffmpeg not found
Action: apt-get update && apt-get install -y ffmpeg
Log: ERRORS.md → "ffmpeg missing — install attempted [date]"
ERROR: ELEVENLABS_VOICE_ID not set
Action: Run voice cloning (Step 3 in Setup section above)
Log: AUDIT.md → "Voice ID missing — cloning required"
```
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Use when executing implementation plans with independent tasks in the current session