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voice-ai-development

by davila7

Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. Knows how to

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
davila7
Category
DevOps
Views
50

About this skill

Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis, LiveKit for real-time infrastructure, and WebRTC fundamentals. Knows how to build low-latency, production-ready voice experiences. Use when: voice ai, voice agent, speech to text, text to speech, realtime voice.

How to use

  1. Upewnij się, że masz zainstalowany Python lub Node.js oraz dostęp do API keys wymaganych dostawców (OpenAI, Vapi, Deepgram, ElevenLabs, LiveKit). 2. Załaduj skill voice-ai-development w swoim środowisku Claude/Copilot. 3. Opisz swój przypadek użycia: czy potrzebujesz natywnej komunikacji głos-na-głos (OpenAI Realtime API), dedykowanego agenta głosowego (Vapi), czy kombinacji usług do transkrypcji i syntezy. 4. Skill doradzi Ci, którą kombinację dostawców wybrać na podstawie wymagań latencji i jakości audio. 5. Postępuj zgodnie z kodem i wzorcami dostarczonymi przez skill – rozpocznij od najprostszego scenariusza (np. sesja WebSocket z OpenAI Realtime), a następnie dodawaj złożoność (obsługa audio, optymalizacja opóźnień). 6. Testuj latencję i jakość głosu w każdym kroku, polegając na wiedzy skilla o budżetach latencji i best practices dla aplikacji produkcyjnych.

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