d6e-prompt-driven-ui

Generate structured JSON UI payloads validated with Zod schemas.

Updated May 15, 2026
One-click install
npx skills add https://github.com/d6e-ai/d6e-ai-keiri-example --skill d6e-prompt-driven-ui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: d6e-prompt-driven-ui
Source: https://github.com/d6e-ai/d6e-ai-keiri-example/tree/main/skills/d6e-prompt-driven-ui
Command: npx skills add https://github.com/d6e-ai/d6e-ai-keiri-example --skill d6e-prompt-driven-ui

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires zod, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill designs prompt-driven UI for d6e-connected frontends, ensuring clear and structured JSON outputs from AI interactions for better user experience.

Core Features & Use Cases

  • JSON-Driven UIs: Produces JSON payloads for card, table, badge, and form rendering in frontends.
  • Strict Schema Parsing: Utilizes Zod for parsing and validating JSON output, with markdown fallbacks.
  • Revision Flows: Supports natural language message editing for revising AI-generated content.
  • Scenario Appending: Allows interactive addition of new behavior to prompts without base modifications.
  • Use Case: When creating prompts for a new app that requires structured output for rendering JSON cards and handling user revisions.

Quick Start

To start using the d6e-prompt-driven-ui skill, define your prompt rule with the required JSON structure and scenarios. For example, you can write a prompt like:

# AI Accounting — workspace prompt

你は経理アシスタントです。次の規則で応答してください。

...

Then, use the d6e-prompt-driven-ui command in your frontend application to parse and render the AI's output.

Frequently Asked Questions about d6e-prompt-driven-ui

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

FAQPage Schema
How do I generate structured JSON output from AI models for frontend UI rendering?

To generate structured JSON output for frontend UI rendering, you can use prompt-driven UI techniques to produce JSON payloads for cards, tables, badges, and forms. This approach uses Zod schema validation to ensure the AI-generated JSON matches your frontend requirements.

How does Zod schema validation work with AI-generated JSON responses?

Zod schema validation parses and validates AI-generated JSON responses to ensure they conform to strict structural definitions before frontend rendering. If the AI output fails validation, the system employs markdown fallbacks to maintain application stability and user experience.

What is the best way to allow users to interactively modify AI-generated scenarios in a prompt-driven UI?

The best way to interactively modify AI-generated scenarios is through scenario appending and revision flows. This allows users to add new behaviors to prompts without modifying the base prompt and edit AI-generated content using natural language messages.

Do I need the Zod library to implement prompt-driven UIs with structured AI responses?

Yes, you need the Zod library to implement strict schema parsing for your prompt-driven UIs. Zod is a required dependency for validating the structured JSON responses generated by AI models before integrating them with your frontend application.

Can I render JSON cards and tables directly from AI interactions in my frontend application?

Yes, you can render JSON cards, tables, badges, and forms directly from AI interactions. The prompt-driven UI skill generates structured JSON payloads specifically designed for frontend integration, ensuring clear and structured outputs for better user experience.

What happens when an AI model fails to return valid JSON for frontend rendering?

When an AI model fails to return valid JSON for frontend rendering, the system utilizes markdown fallbacks. This ensures that even if the structured JSON output fails Zod schema validation, the frontend can still display the AI-generated content gracefully.