Voice Ai Integration

This handles the full voice AI pipeline: speech-to-text, natural language processing, and text-to-speech with support for multiple providers like OpenAI Whisper, Google Cloud, Azure, and Eleven Labs. You get a complete VoiceAssistant class that manages conversation history and async processing, plus real-time audio streaming with voice activity detection. The examples cover smart home voice control and meeting transcription, which gives you a solid starting point. The privacy and latency guidance is actually useful, especially the recommendation to delete audio after processing and use streaming for lower latency. If you're building anything voice-first, this covers the architectural decisions you'll need to make early, and the multi-provider approach means you're not locked into one vendor's pricing or capabilities.

skills.sh installs: 209
GitHub stars: 48
last updated: Aug 21, 2026

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Install

$ npx -y skills add qodex-ai/ai-agent-skills --skill voice-ai-integration --agent claude-code

Installs into .claude/skills of the current project.

Files

Voice AI Integration

Build intelligent voice-enabled AI applications that understand spoken language and respond naturally through audio, creating seamless voice-first user experiences.