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Json Render Shadcn

Official
vercel-labs·vlatest·frontend·Apache-2.0

Generates clean, styled UI components from JSON data using Shadcn/ui and Vercel's design system.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add vercel-labs/json-render --skill json-render-shadcn -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

vercel-labs

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 31 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as vercel-labs/json-render.
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About this skill

The json-render-shadcn skill enables AI agents to generate and display interactive, styled JSON data using Shadcn UI components. It transforms raw structured data into readable, visually appealing cards or tables directly within the chat interface.

When to use it

  • Displaying API response structures during backend debugging sessions.
  • Presenting configuration objects or environment variables to frontend developers.
  • Visualizing nested dataset hierarchies for easier human inspection.
  • Sharing sanitized error logs with clear formatting instead of plain text.

Key capabilities

  • Renders JSON data using Shadcn UI design system components.
  • Automatically formats and indents complex nested structures.
  • Provides a consistent, modern aesthetic matching standard frontend stacks.
  • Converts raw string inputs into interactive visual elements.

Example prompts

  • "Render this API response as a formatted card: { 'status': 200, 'data': { 'users': [...] } }"
  • "Show me the structure of this configuration object using Shadcn styling."
  • "Visualize the following nested dataset in an interactive table format."

Tips & gotchas

Ensure input is valid JSON to prevent rendering errors or malformed output. For very large datasets, consider summarizing the content first to maintain chat performance and readability.