elevenlabs-voice-agent

What This Skill Does

The elevenlabs-voice-agent skill provides a robust interface for building, deploying, and managing hyper-realistic conversational AI voice agents. It streamlines the integration between the ElevenLabs Conversational AI engine and Twilio, allowing developers to create agents capable of human-like interaction. This skill handles everything from configuring specific TTS models and LLM settings to managing complex call behaviors like voicemail detection and background voice filtering. By leveraging the NEPQ (Neuro-Emotional Persuasion Questioning) sales framework, this skill transforms standard bots into high-converting appointment setters or customer service representatives.

Installation

To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/boris148/elevenlabs-voice-agent Ensure you have your ElevenLabs API key and Twilio credentials configured in your environment variables before initializing the agent setup flows.

Use Cases

• Cold Calling Campaigns: Deploy agents that sound human, use natural inflection, and adhere to sales scripts without sounding robotic.
• Appointment Setting: Use the NEPQ framework to guide leads through qualification questions and book meetings directly into your calendar.
• Customer Service: Build 24/7 support agents that can handle inquiries, process basic account updates, and detect voicemail for callbacks.
• Voice Automation: Prototype and iterate on voice-based user interfaces for mobile or web applications.

Example Prompts

• "Set up an ElevenLabs agent named 'Sarah' using the Alexandra voice and the NEPQ framework specifically for cold calling roofing leads."
• "My voice agent is cutting off callers mid-sentence; optimize the turn-taking settings and latency to make the conversation feel more fluid."
• "Connect my Twilio account to this agent and configure it to handle voicemail detection and end-call triggers automatically."

Tips & Limitations

To achieve the best results, always prioritize low-latency models like gpt-4o-mini. While the 'eager' mode provides a more natural conversational flow, it can sometimes lead to premature interruptions; monitor your agent's turn timeout settings closely to balance natural interaction with accuracy. Be mindful that voice agents are highly dependent on the quality of your system prompt—keep instructions clear, concise, and focused on intent rather than providing massive, rigid scripts that make the AI sound scripted.