Skill Detail

Build React agent chat interfaces with assistant-ui

Use assistant-ui to build production React chat interfaces with reusable threads, runtimes, message components, and model/provider adapters.

Developer ToolsMulti-Framework
Developer Tools Multi-Framework Security Reviewed
⭐ 10.1k GitHub stars ⬇ 705.7k/wk npm
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill build-react-agent-chat-interfaces-with-assistant-ui Copy
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
React application, @assistant-ui/react, runtime adapter such as @assistant-ui/react-ai-sdk, backend model or agent endpoint
Install & setup
Install @assistant-ui/react and the appropriate runtime adapter such as @assistant-ui/react-ai-sdk, wrap the React app in AssistantRuntimeProvider, then connect the chat runtime to the backend model or agent endpoint.
Author
assistant-ui
Publisher
Organization
Last updated
May 19, 2026
Quick brief

Use assistant-ui when an operator needs a repeatable way to build a polished React chat surface for an AI or agent application. The workflow is to install the assistant-ui React packages, choose the runtime adapter, wrap the application with the assistant runtime provider, compose the thread and message components, and connect the UI to the selected model, agent, or AI SDK backend.

How it works

What this skill actually does

Invoke this instead of hand-building chat primitives when the product needs streaming messages, reusable thread UX, tool or action displays, and a maintainable React component boundary around the agent conversation. The scope boundary is chat-interface implementation for agent apps; it is not a general React component library, standalone assistant product, or model orchestration framework.

Inputs are a React application, @assistant-ui/react packages, a runtime adapter such as the AI SDK integration, backend chat or agent endpoint, and message/action rendering requirements. Outputs are a working chat UI, thread runtime wiring, reusable message components, and a frontend integration point for agent responses.