openclaw-skill-elevenlabs-pro
v0.1.0ElevenLabs advanced TTS for converting text to speech, listing voices, and managing credits
Sourced from ClawHub,
Authored by Marouane
Installation
Please help me install the skill `openclaw-skill-elevenlabs-pro` from SkillHub official store.
npx skills add mrnsmh/openclaw-skill-elevenlabs-pro
ElevenLabs Pro Skill
Advanced text-to-speech using the ElevenLabs API. Supports voice selection, language/gender filtering, audio file generation, and credit tracking.
Prerequisites
Set your API key as an environment variable:
export ELEVENLABS_API_KEY=sk_...
Or pass it directly with --api-key.
Usage
Convert text to speech
python3 scripts/elevenlabs.py "Hello world" --voice Sarah --output audio.mp3
List available voices
python3 scripts/elevenlabs.py --list-voices
python3 scripts/elevenlabs.py --list-voices --lang en --gender female
python3 scripts/elevenlabs.py --list-voices --json
Check remaining credits
python3 scripts/elevenlabs.py --credits
Options
| Option | Default | Description |
|---|---|---|
--voice NAME |
Rachel | Voice name (partial match supported) |
--voice-id ID |
— | Direct voice ID (overrides --voice) |
--output PATH |
output.mp3 | Output MP3 file path |
--model ID |
eleven_turbo_v2_5 | Model ID |
--stability |
0.5 | Voice stability (0–1) |
--similarity |
0.75 | Similarity boost (0–1) |
--style |
0.0 | Style exaggeration (0–1) |
--lang CODE |
— | Filter voices by language (e.g. en, fr) |
--gender |
— | Filter voices by gender (male/female) |
--json |
— | Output as JSON |
--api-key KEY |
— | API key (overrides env var) |
Available Models
| Model ID | Description |
|---|---|
eleven_turbo_v2_5 |
Fastest, lowest latency (free tier supported) |
eleven_multilingual_v2 |
Best quality, multilingual |
eleven_flash_v2_5 |
Ultra-low latency |
Importable API
import sys
sys.path.insert(0, "path/to/skills/elevenlabs-pro/scripts")
from elevenlabs import list_voices, get_voice_id, text_to_speech, get_credits
api_key = "sk_..."
# TTS
voice_id = get_voice_id(api_key, "Sarah")
path = text_to_speech(api_key, "Hello!", voice_id, "out.mp3")
# Credits
info = get_credits(api_key)
print(info["characters_remaining"])
References
See references/voices.md for popular voices and voice parameter guidance.