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elevenlabs-agents

Create and manage conversational AI voice agents with ASR, LLM, and TTS.

1|1|Updated Nov 30, 2025
Search Tags:#llm#agent development#elevenlabs#voice ai#conversational ai#tts#asr
One-click install
npx skills add https://github.com/Aniket-a14/AI_friend --skill elevenlabs-agents-aniket-a14
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: elevenlabs-agents
Source: https://github.com/Aniket-a14/AI_friend/tree/main/.gemini/skills/elevenlabs-agents
Command: npx skills add https://github.com/Aniket-a14/AI_friend --skill elevenlabs-agents-aniket-a14

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive platform for building, deploying, and managing production-ready conversational AI voice agents, streamlining complex voice application development.

Core Features & Use Cases

  • End-to-End Voice Agents: Integrates ASR, LLM, TTS, and turn-taking for full conversational experiences.
  • Developer Tools: Offers SDKs (React, RN, JS), a CLI for "Agents as Code", and extensive API reference.
  • Use Case: Develop a customer service chatbot that can understand spoken queries, respond naturally with a chosen voice, and even call external APIs to perform actions like checking order status.

Quick Start

Use the elevenlabs-agents skill to initialize a new agent project using the CLI.

Frequently Asked Questions about elevenlabs-agents

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

FAQPage Schema
How do I build a conversational AI voice agent with ASR and TTS?▼

Build conversational AI voice agents by integrating ASR, LLM, TTS, and turn-taking through a unified platform. You can develop end-to-end voice experiences that understand spoken queries and respond naturally using a chosen voice.

What's the best way to manage voice agent versioning and configuration?▼

Manage voice agent versioning and configuration using the CLI for "Agents as Code". This approach streamlines deploying and maintaining production-ready conversational AI systems with advanced custom voice and language behaviors.

Can I use React or React Native SDKs to develop voice AI applications?▼

React, React Native, and JavaScript SDKs are supported for developing voice AI applications. These developer tools allow you to integrate conversational AI capabilities directly into your web and mobile interfaces.

How do conversational AI phone systems handle external API calls?▼

Conversational AI phone systems handle external API calls through integrated tool support within the agent platform. This allows your voice agent to perform actions like checking order status by calling external APIs during a conversation.

Does voice AI agent development support RAG and custom language behaviors?▼

Voice AI agent development supports RAG and custom language behaviors through advanced configuration options. This enables sophisticated conversational agents to retrieve external knowledge and adapt to specific voice and language requirements.

Why use a unified platform for voice AI instead of separate ASR and TTS tools?▼

A unified platform for voice AI integrates ASR, LLM, TTS, and turn-taking into a single system, streamlining complex voice application development. This avoids the friction of managing separate tools and ensures cohesive conversational experiences.

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