voice-agents

Features and purpose

Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-800ms latency while handling interruptions, background noise, and emotional nuance. This skill covers two architectures: speech-to-speech (OpenAI Realtime API, lowest latency, most natural) and pipeline (STT→LLM→TTS, more control, easier to debug). Key insight: latency is the constraint. Humans expect responses in 500ms. Every millisecond matters. 84% of organizations are increasing voice AI budgets in 2025. This is the year voice agents go mainstream. Use when "voice agent, speech to text, text to speech, whisper, elevenlabs, deepgram, realtime api, voice assistant, voice ai, conversational ai, tts, stt, asr, voice, speech, tts, stt, whisper, elevenlabs, deepgram, realtime, conversational-ai, vad, barge-in" mentioned.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.