elevenlabs-conversational
Full ElevenLabs platform integration — text-to-speech, voice cloning, and Conversational AI agent creation. Not just TTS — build interactive voice agents with emotion control, streaming audio, and phone system integration. Use for voice synthesis, cloning, or building conversational AI agents.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/aiwithabidi/elevenlabs-conversationalWhat This Skill Does
The elevenlabs-conversational skill provides a high-performance bridge between OpenClaw and the ElevenLabs platform. Unlike basic text-to-speech integrations, this skill unlocks the full power of ElevenLabs, including advanced voice synthesis, high-fidelity instant voice cloning, and the orchestration of bidirectional Conversational AI agents. It is designed for developers who need more than just a synthetic voice; it facilitates the creation of interactive, low-latency agents capable of handling phone interactions, real-time voice assistants, and emotional, human-like narration. By leveraging streaming audio endpoints, this skill ensures that OpenClaw agents remain responsive and engaging in real-time scenarios.
Installation
To integrate this skill into your environment, use the OpenClaw installation manager via your terminal:
clawhub install openclaw/skills/skills/aiwithabidi/elevenlabs-conversational
Ensure you have configured your environment variables by setting ELEVENLABS_API_KEY. Without a valid API key, the skill will be unable to authenticate with the ElevenLabs platform to perform synthesis or agent management tasks.
Use Cases
- Customer Support Agents: Build automated voice-based support systems with customized system prompts and distinct personality profiles.
- Voice Cloning: Quickly generate high-quality, professional voice clones for personal assistants or archival projects using only a few audio samples.
- Dynamic Narration: Integrate expressive speech with adjustable stability and style parameters for audiobooks, gaming, or interactive storytelling.
- Real-Time Interaction: Utilize the streaming TTS engine to create conversational interfaces where latency is critical for user experience.
Example Prompts
- "Generate a new conversational agent named 'FinanceBot' using the 'Rachel' voice, and set its prompt to 'You are a helpful financial assistant that explains stock market concepts in simple terms.'"
- "Clone my voice using the audio files in the 'recordings' folder to create a new voice named 'MyPersona'."
- "Convert the following text into a high-quality streaming audio file using the 'Marcus' voice: 'Welcome to the OpenClaw control center, how can I assist you today?'"
Tips & Limitations
For optimal results, ensure your voice cloning samples are clear and free of background noise. When building conversational agents, the 'first-message' parameter is vital for guiding the initial user interaction. Be mindful of latency when choosing between standard TTS and streaming TTS; always prefer streaming for real-time applications. Lastly, monitor your API usage as voice cloning and conversational agent hosting consume different tiers of ElevenLabs subscription quotas.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-aiwithabidi-elevenlabs-conversational": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read, external-api
Related Skills
freshsales
Freshsales CRM integration — manage contacts, leads, deals, accounts, tasks, and sales sequences via the Freshsales API. Track deal pipelines, automate lead assignments, log activities, and generate sales reports. Built for AI agents — Python stdlib only, no dependencies. Use for sales CRM, contact management, deal tracking, pipeline reporting, and sales automation.
gemini-video-analyzer
Native video analysis using Google Gemini API. Upload and analyze video files — describe scenes, extract text/UI, answer questions about content, transcribe speech, identify objects and actions. Use when: (1) User sends a video file and wants it analyzed, (2) Video summarization or description needed, (3) Extracting text, UI elements, or information from screen recordings, (4) Answering questions about video content, (5) Comparing multiple videos, (6) Analyzing tutorials, demos, or walkthroughs.
agent-memory
Full AI agent memory stack — Mem0 unified memory engine with vector search (Qdrant) and knowledge graph (Neo4j), plus SQLite for structured data. Complete setup script and tools. Give your OpenClaw agent a real brain with semantic recall, entity relationships, and structured storage.
neon
Neon serverless Postgres — manage projects, branches, databases, roles, endpoints, and compute via the Neon API. Create database branches for development, manage connection endpoints, scale compute, and monitor usage. Built for AI agents — Python stdlib only, zero dependencies. Use for serverless Postgres, database branching, database management, development workflows, and cloud database automation.
onepassword
1Password Connect — vaults, items, secrets management for server-side applications.