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livekit-stt

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Configure Speech-to-Text for LiveKit agents.

Software Engineering#transcription#voice ai#speech-to-text#deepgram#livekit#stt#assemblyai
AuthorFutureAtoms
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill simplifies the configuration of Speech-to-Text (STT) models for LiveKit agents, enabling seamless voice-to-text transcription for AI applications.

Core Features & Use Cases

  • STT Model Configuration: Easily set up various STT providers like Deepgram, AssemblyAI, Whisper, and more.
  • Language Support: Configure for single or multiple languages, including auto-detection.
  • Streaming & Batch Processing: Supports both real-time streaming transcription and batch processing after speech ends.
  • Use Case: Integrate advanced STT capabilities into your LiveKit voice AI agent to accurately transcribe user speech in real-time, improving the agent's responsiveness and understanding.

Quick Start

Configure the LiveKit STT skill to use the Deepgram Nova-3 model for English.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: livekit-stt
Download link: https://github.com/FutureAtoms/claude-skills-backup/archive/main.zip#livekit-stt

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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