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.

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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#

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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#

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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#

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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#

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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#

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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#

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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#

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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#

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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#

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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#

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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#

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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#

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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#

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[ ] 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#

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# 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#

FileFrequencyContent/workspace/voice/config.jsonOnce (setup)API keys, Voice ID, Agent ID/workspace/voice/output/*.mp3Per generationGenerated audio files/workspace/voice/calls/pending/*.jsonPer leadCalls to make/workspace/voice/calls/history/*.jsonPer callTranscript + outcome + score/workspace/.learnings/LEARNINGS.mdWeeklyCall patterns, best scripts/workspace/.learnings/ERRORS.mdOn errorAPI errors, setup failures/workspace/AUDIT.mdOn eventTTS generated, calls made, alerts

---

Workspace Structure#

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/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#

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❌ 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#

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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"