elevenlabs-agents

Design and configure ElevenLabs voice agents with tools, testing, and compliance.

123|21|Updated Jul 11, 2026
One-click install
npx skills add https://github.com/calesthio/generative-media-skills --skill elevenlabs-agents-calesthio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: elevenlabs-agents
Source: https://github.com/calesthio/generative-media-skills/tree/main/skills/providers/voice-agents/elevenlabs-agents
Command: npx skills add https://github.com/calesthio/generative-media-skills --skill elevenlabs-agents-calesthio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you design, configure, and deploy production-ready ElevenLabs voice agents without overlooking latency, tool reliability, authentication, testing, or the legal obligations of synthetic conversations.

Core Features & Use Cases

  • Agent Architecture: Plan spoken system prompts, turn-taking, interruption handling, LLM selection, TTS configuration, and multilingual support.
  • Production Integrations: Configure server, client, and system tools, knowledge bases, dynamic variables, workflows, WebRTC, WebSocket, Twilio, SIP, and authenticated client connections.
  • Validation and Compliance: Test probabilistic conversations and tool calls, diagnose latency and interruption issues, size concurrency, and address AI disclosure, consent, privacy, and voice-cloning requirements.
  • Use Case: Create a dental-clinic phone agent that discloses its AI identity, books and cancels appointments through authenticated server tools, handles interruptions, and transfers callers to staff when necessary.

Quick Start

Use the elevenlabs-agents skill to design a production configuration and spoken system prompt for a phone agent that books dental appointments, including tools, testing, latency settings, authentication, and compliance requirements.

Frequently Asked Questions about elevenlabs-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure ElevenLabs voice agents for production telephony integrations?

Configuring ElevenLabs voice agents involves setting up WebRTC or WebSocket connections, integrating Twilio or SIP, and defining server and client tools to handle authenticated interactions and dynamic variables for telephony integrations.

What is the best way to test conversational AI voice agents before deployment?

Testing conversational AI voice agents requires running probabilistic conversation simulations and agent testing to validate turn-taking, diagnose latency, verify tool reliability, and size concurrency for production deployments.

How do I design spoken system prompts that handle turn-taking and interruptions?

Designing spoken system prompts involves structuring agent architecture to manage turn-taking, interruption handling, and LLM selection, ensuring natural-sounding text to speech and smooth multilingual conversation flow.

Does deploying synthetic voice agents require AI disclosure and consent compliance?

Deploying synthetic voice agents requires addressing AI disclosure, consent, privacy, and voice-cloning safeguards to ensure compliant interactions and meet legal obligations for outbound campaigns and support flows.

How can I optimize latency and concurrency for real-time text to speech agents?

Optimizing latency and concurrency for text to speech agents involves diagnosing interruption issues, sizing concurrency limits, and configuring LLM and TTS settings to maintain reliable real-time voice agent performance.

Can I use knowledge-base grounding and tool calling with ElevenLabs phone bots?

ElevenLabs phone bots support knowledge-base grounding and tool calling through system tools, server tools, and client tools, enabling authenticated workflows like booking appointments or transferring calls to staff.