What is the main difference between S2S and pipeline architectures?

S2S (Speech-to-Speech) provides lower latency and emotional nuance by processing audio directly, while pipeline (STT-LLM-TTS) offers more granular control and easier debugging at each stage.

How does this skill help with conversational latency?

It provides patterns for latency budgeting, jitter metrics, and constrained response lengths to keep interactions under the 800ms threshold required for natural conversation.

Which APIs are typically used with this skill?

This skill is designed to work with the OpenAI Realtime API for S2S, as well as various STT (like Whisper) and TTS (like ElevenLabs) providers for pipeline architectures.

Can this skill handle user interruptions?

Yes, it includes specific implementation patterns for barge-in detection and semantic Voice Activity Detection (VAD) to manage when a user speaks over the AI.

AI Voice Agents

Name: AI Voice Agents
Author: claudiodearaujo

byclaudiodearaujo

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Data Science & ML

Architects high-performance conversational AI systems with optimized latency, natural turn-taking, and robust voice activity detection.

About

This skill equips Claude with the expertise of a production-grade voice AI architect to design and implement low-latency voice agents. It covers both state-of-the-art speech-to-speech (S2S) architectures for maximum fluidity and modular pipeline architectures (STT→LLM→TTS) for granular control. Users can leverage this skill to manage the 'physics of latency,' implement sophisticated barge-in detection, and handle the nuances of human conversation, ensuring that AI interactions feel natural rather than mechanical.

Key Features

Conversational flow management and natural turn-taking patterns
1 GitHub stars
Latency budgeting and jitter optimization for real-time audio
Speech-to-speech (S2S) architecture for sub-800ms latency
Modular STT→LLM→TTS pipeline implementation and debugging
Advanced Voice Activity Detection (VAD) and barge-in handling

Use Cases

Developing interactive AI-powered book narration systems
Implementing voice-first interfaces for hands-free applications
Building real-time customer support voice assistants

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro voice-agents

For use in Claude.ai and ChatGPT

Download Skill

GitHub