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json-render

Render AI SDK v6 chat responses with UIMessage parts and streaming states.

246|42|Updated Mar 4, 2026
Search Tags:#ui#rendering#ai#sdk#streaming#chat
One-click install
npx skills add https://github.com/vercel-labs/vercel-plugin --skill json-render
Or copy as Structured Prompt for Agentโ–ผ
Please help me install this Agent Skill.
Skill: json-render
Source: https://github.com/vercel-labs/vercel-plugin/tree/main/skills/json-render
Command: npx skills add https://github.com/vercel-labs/vercel-plugin --skill json-render

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you correctly display AI-generated chat responses, including text, tool calls, and streaming updates, in your user interface.

Core Features & Use Cases

  • Structured Response Rendering: Properly displays different types of AI message parts (text, tool calls, reasoning).
  • Streaming Support: Handles real-time updates as the AI generates its response.
  • Use Case: When building a chatbot, ensure that when the AI calls a tool (like "createIssue"), the user sees a clear confirmation or the result of that action, not just raw JSON.

Quick Start

Use the json-render skill to display the AI's response parts in your chat interface.

Frequently Asked Questions about json-render

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I render AI SDK chat responses with UIMessage parts in a custom UI?โ–ผ

To render AI SDK chat responses, map UIMessage parts like text, reasoning, and tool calls to UI components. This handles structured data and streaming states for dynamic, real-time message displays.

How do I display tool calls in a chat UI instead of raw JSON?โ–ผ

Displaying tool calls requires parsing the AI SDK tool invocation parts and rendering them as clear UI confirmations or results, ensuring users see the outcome of actions like 'createIssue' rather than raw JSON.

What is the best way to handle streaming states for real-time AI chat updates?โ–ผ

Handling streaming states involves subscribing to real-time AI SDK response updates and rendering partial text and tool outputs dynamically as they arrive, solving issues with displaying incomplete structured data.

Does this approach work with AI SDK v6 for troubleshooting response presentation?โ–ผ

Yes, this approach works with AI SDK v6 by correctly formatting its specific UIMessage structures, ensuring safe handling of various AI output formats and troubleshooting response presentation issues in custom chat UIs.

When do I need structured response rendering for AI chatbots?โ–ผ

You need structured response rendering when building chatbots that execute tool calls, ensuring users see clear confirmations and results of actions dynamically, rather than encountering unformatted or incomplete streaming output.

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