Individual skill

building-livekit-agents

Builds voice and chat AI agents with LiveKit Agents on LiveKit Cloud or a self-hosted server. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI to my app", "implement handoffs", "structure an agent workflow", "my agent is slow / too chatty", "it says it booked but nothing was saved", "make it confirm before committing", "it keeps re-asking things the caller already said", or is writing code against the LiveKit Agents SDK. Covers architecture: designing for latency, keeping context small, splitting a monolithic agent into handoffs and tasks, and designing for voice. Also covers keeping the model in charge of meaning while code owns state, approvals, and effects. For API specifics use reading-livekit-docs. To check behavior use debugging-livekit-agents and testing-livekit-agents.

plugins/livekit-skills/skills/building-livekit-agents/SKILL.md

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Nov 6, 2026
License
Apache-2.0

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# Building LiveKit agents

This skill covers how to structure a voice agent. It has no API specifics, because those change;
get them from `reading-livekit-docs`.

Where the agent runs and which LiveKit the project uses are separate questions. An agent the user
self-hosts (on their own servers instead of LiveKit Cloud's agent hosting) still connects to LiveKit
Cloud and can still use LiveKit Inference. Inference is a LiveKit Cloud feature, so it's only off
the table when the project runs on LiveKit OSS. The architecture advice applies either way; on
LiveKit OSS, models come from each provider's own plugin and API keys.

## Models: default to LiveKit Inference

Use LiveKit Inference for each model that the agent uses: STT, LLM, TTS, or a realtime model. Many