Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
it will help you to send voice messages to your AI Assistant and also can make it talk
Text-to-Speech and Speech-to-Text using ElevenLabs AI. Use when the user wants to convert text to speech, transcribe voice messages, or work with voice in multiple languages. Supports high-quality AI voices and accurate transcription.
skill openclawclawhub Free
Text-to-Speech and Speech-to-Text using ElevenLabs AI. Use when the user wants to convert text to speech, transcribe voice messages, or work with voice in multiple languages. Supports high-quality AI voices and accurate transcription.
⬇ 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, scripts/elevenlabs_scribe.py, scripts/elevenlabs_speech.py
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
- amreahmed
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
ElevenLabs Speech
Complete voice solution — both TTS and STT using one API: TTS: Text-to-Speech (high-quality voices) STT: Speech-to-Text via Scribe (accurate transcription)
Environment Setup
Set your API key: export ELEVENLABS_API_KEY="sk_..." Or create .env file in workspace root.
Text-to-Speech (TTS)
Convert text to natural-sounding speech: python scripts/elevenlabs_speech.py tts -t "Hello world" -o greeting.mp3 With custom voice: python scripts/elevenlabs_speech.py tts -t "Hello" -v "voice_id_here" -o output.mp3
List Available Voices
python scripts/elevenlabs_speech.py voices
Using in Code
from scripts.elevenlabs_speech import ElevenLabsClient client = ElevenLabsClient(api_key="sk_...") # Basic TTS result = client.text_to_speech( text="Hello from zerox", output_path="greeting.mp3" ) # With custom settings result = client.text_to_speech( text="Your text here", voice_id="21m00Tcm4TlvDq8ikWAM", # Rachel stability=0.5, similarity_boost=0.75, output_path="output.mp3" ) # Get available voices voices = client.get_voices() for voice in voices['voices']: print(f"{voice['name']}: {voice['voice_id']}")
Popular Voices
Voice IDNameDescription21m00Tcm4TlvDq8ikWAMRachelNatural, versatile (default)AZnzlk1XvdvUeBnXmlldDomiStrong, energeticEXAVITQu4vr4xnSDxMaLBellaSoft, soothingErXwobaYiN019PkySvjVAntoniWell-roundedMF3mGyEYCl7XYWbV9V6OElliWarm, friendlyTxGEqnHWrfWFTfGW9XjXJoshDeep, calmVR6AewLTigWG4xSOukaGArnoldAuthoritative
Voice Settings
stability (0-1): Lower = more emotional, Higher = more stable similarity_boost (0-1): Higher = closer to original voice Default: stability=0.5, similarity_boost=0.75
Models
eleven_turbo_v2_5 - Fast, high quality (default) eleven_multilingual_v2 - Best for non-English eleven_monolingual_v1 - English only
Integration with Telegram
When user sends text and wants voice reply: # Generate speech result = client.text_to_speech(text=user_text, output_path="reply.mp3") # Send via Telegram message tool with media path message(action="send", media="path/to/reply.mp3", as_voice=True)
Pricing
Check https://elevenlabs.io/pricing for current rates. Free tier available!
Speech-to-Text (STT) with ElevenLabs Scribe
Transcribe voice messages using ElevenLabs Scribe:
Transcribe Audio
python scripts/elevenlabs_scribe.py voice_message.ogg With specific language: python scripts/elevenlabs_scribe.py voice_message.ogg --language ara With speaker diarization (multiple speakers): python scripts/elevenlabs_scribe.py voice_message.ogg --speakers 2
Using in Code
from scripts.elevenlabs_scribe import ElevenLabsScribe client = ElevenLabsScribe(api_key="sk-...") # Basic transcription result = client.transcribe("voice_message.ogg") print(result['text']) # With language hint (improves accuracy) result = client.transcribe("voice_message.ogg", language_code="ara") # With speaker detection result = client.transcribe("voice_message.ogg", num_speakers=2)
Supported Formats
mp3, mp4, mpeg, mpga, m4a, wav, webm Max file size: 100 MB Works great with Telegram voice messages (.ogg)
Language Support
Scribe supports 99 languages including: Arabic (ara) English (eng) Spanish (spa) French (fra) And many more... Without language hint, it auto-detects.
Complete Workflow Example
User sends voice message → You reply with voice: from scripts.elevenlabs_scribe import ElevenLabsScribe from scripts.elevenlabs_speech import ElevenLabsClient # 1. Transcribe user's voice message stt = ElevenLabsScribe() transcription = stt.transcribe("user_voice.ogg") user_text = transcription['text'] # 2. Process/understand the text # ... your logic here ... # 3. Generate response text response_text = "Your response here" # 4. Convert to speech tts = ElevenLabsClient() tts.text_to_speech(response_text, output_path="reply.mp3") # 5. Send voice reply message(action="send", media="reply.mp3", as_voice=True)
Pricing
Check https://elevenlabs.io/pricing for current rates: TTS (Text-to-Speech): Free tier: 10,000 characters/month Paid plans available STT (Speech-to-Text) - Scribe: Free tier available Check website for current pricing
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 Scripts1 Docs
- SKILL.md
- scripts/elevenlabs_scribe.py
- scripts/elevenlabs_speech.py