Build LiveKit Agent backends in Python. Use this skill when creating voice AI agents, voice assistants, or any realtime AI application using LiveKit's Python Agents SDK (livekit-agents). Covers AgentSession, Agent class, function tools, STT/LLM/TTS models, turn detection, and multi-agent workflows.
Quickly install agents-py AI skill to your development environment via command line
Source: codestackr/livekit-skills.
This skill works alongside the LiveKit MCP server, which provides direct access to the latest LiveKit documentation, code examples, and changelogs. Use these tools when you need up-to-date information that may have changed since this skill was created.
Use MCP tools and local references together for the best experience.
Use the LiveKit CLI to load your credentials into a .env.local file:
Build LiveKit Agent backends in Python. Use this skill when creating voice AI agents, voice assistants, or any realtime AI application using LiveKit's Python Agents SDK (livekit-agents). Covers AgentSession, Agent class, function tools, STT/LLM/TTS models, turn detection, and multi-agent workflows. Source: codestackr/livekit-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/codestackr/livekit-skills --skill agents-pyBuild LiveKit Agent backends in Python. Use this skill when creating voice AI agents, voice assistants, or any realtime AI application using LiveKit's Python Agents SDK (livekit-agents). Covers AgentSession, Agent class, function tools, STT/LLM/TTS models, turn detection, and multi-agent workflows. Source: codestackr/livekit-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/codestackr/livekit-skills --skill agents-py Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/codestackr/livekit-skills