What tool types can I implement with these agents?

It supports four types: Client Tools (browser/mobile), Server Tools (webhooks), MCP Tools (Model Context Protocol), and built-in System Tools.

Can I use this to build phone-based AI agents?

Yes, the skill provides documentation and configuration patterns for integrating ElevenLabs voice agents with telephony providers like Twilio.

Does it support the latest ElevenLabs models?

Yes, it specifically focuses on Turbo v2 and v2.5 models, as legacy v1 models were deprecated in late 2025.

Which SDKs are supported by the elevenlabs-agents skill?

The skill supports the latest scoped @elevenlabs packages for React (@elevenlabs/react), JavaScript (@elevenlabs/client), and React Native, as well as the CLI for agents-as-code workflows.

How does the skill handle knowledge bases?

It guides you through the process of document ingestion, RAG index computation, and agent-side retrieval configuration to ensure the voice agent has accurate domain context.

ElevenLabs Voice Agents

Name: ElevenLabs Voice Agents
Author: jezweb

byjezweb

•

117

데이터 과학 및 ML

Builds and manages production-ready conversational AI voice agents with integrated ASR, TTS, and custom RAG knowledge bases.

소개

This skill empowers developers to implement advanced voice interfaces using the ElevenLabs Agents Platform. It provides comprehensive guidance on configuring multi-voice agents, integrating client/server/MCP tools, and handling complex conversational patterns like turn-taking and interruptions. Whether you're building AI phone agents with Twilio, mobile voice chat with React Native, or real-time web interfaces, this skill ensures best practices for SDK usage, package migration, and high-performance WebRTC configurations. It focuses on the latest scoped @elevenlabs packages and optimized Turbo v2.5 models for the lowest possible latency.

주요 기능

Configuration of RAG-powered knowledge bases for domain-specific voice context
Real-time ASR/TTS optimization using ElevenLabs Scribe and Turbo v2.5
Implementation of Client, Server, and MCP tools for dynamic agent capabilities
117 GitHub stars
Comprehensive SDK integration for React, JavaScript, React Native, and Swift
Advanced conversation flow management including multi-voice switching and turn-taking

사용 사례

Building high-fidelity voice assistants for web and mobile applications with low-latency WebRTC
Developing AI-powered customer service phone agents via Twilio telephony integration
Implementing RAG-driven technical support bots capable of retrieving documentation in real-time

소개

주요 기능

Configuration of RAG-powered knowledge bases for domain-specific voice context
Real-time ASR/TTS optimization using ElevenLabs Scribe and Turbo v2.5
Implementation of Client, Server, and MCP tools for dynamic agent capabilities
117 GitHub stars
Comprehensive SDK integration for React, JavaScript, React Native, and Swift
Advanced conversation flow management including multi-voice switching and turn-taking

사용 사례

Building high-fidelity voice assistants for web and mobile applications with low-latency WebRTC
Developing AI-powered customer service phone agents via Twilio telephony integration
Implementing RAG-driven technical support bots capable of retrieving documentation in real-time