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daily - Build real-time voice and multimodal AI pipelines

Provides guidance for building real-time voice and multimodal AI applications with pipelines, transports, AI services, tools, and deployment options.

Tags

Updated: 2026-09-29

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Build real-time voice conversations
  • Process multimodal audio and video
  • Integrate AI service providers
  • Connect external functions and APIs
  • Manage conversation context
  • Configure transport connections
  • Detect turns and interruptions
  • Create custom frame processors
  • Build structured conversation flows
  • Monitor latency and usage
  • Integrate frontend client SDKs
  • Deploy and scale applications

Inputs

  • User audio
  • User video
  • User text
  • AI service configurations
  • Transport configurations
  • Conversation context
  • Tool definitions
  • External API credentials
  • Session parameters

Outputs

  • Audio responses
  • Video responses
  • Text responses
  • Speech transcriptions
  • Function call results
  • Conversation context updates
  • Session lifecycle events
  • Latency and usage metrics
  • Distributed traces

Requirements

    Source

    • Spec: SKILL.md

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    real-time AI
    voice applications
    multimodal AI
    speech-to-text
    text-to-speech
    LLM integration
    WebRTC
    WebSocket
    conversation pipelines
    AI deployment
    Build real-time voice conversations
    Process multimodal audio and video
    Integrate AI service providers
    Connect external functions and APIs
    User audio
    User video
    User text
    Audio responses
    Video responses
    Text responses