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core

Define schemas, catalogs, prompts, and streaming specs for json-render UI generation workflows.

5|Updated Mar 27, 2026
Search Tags:#validation#specs#prompt-generation#state-store#defineSchema#json-render#defineCatalog
One-click install
npx skills add https://github.com/brainchimps/json-render-nuxt-ui --skill core-brainchimps
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: core
Source: https://github.com/brainchimps/json-render-nuxt-ui/tree/main/.agents/skills/core
Command: npx skills add https://github.com/brainchimps/json-render-nuxt-ui --skill core-brainchimps

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Core tooling for json-render to model schemas, catalogs, and AI prompts, enabling consistent data contracts, prompt pipelines, and streaming specs across UI generation.

Core Features & Use Cases

  • Define schemas with defineSchema to structure specs and catalogs.
  • Create catalogs via defineCatalog to map components and prompts for UI generation.
  • Build stateful prompts and streaming specs with utilities like buildUserPrompt, createStateStore, and SpecStream to support end-to-end AI workflows.

Quick Start

Create a minimal schema and catalog, then generate a prompt to produce a sample UI spec.

Frequently Asked Questions about core

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

FAQPage Schema
How do I define schemas and catalogs for UI generation prompts?▼

You can build stateful AI prompt pipelines for streaming specs using createStateStore to manage state and buildUserPrompt to generate structured prompts. SpecStream enables end-to-end streaming UI generation workflows with validation and optional state-aware features.

What is the best way to generate structured AI prompts from JSON schemas?▼

The best way to generate structured AI prompts from JSON schemas is to compose spec streams using defineSchema and defineCatalog. This models data contracts and produces structured prompts for json-render across live or batch UI generation workflows.

Can I use state-aware validation when composing spec streams for AI workflows?▼

Yes, you can use state-aware validation when composing spec streams by leveraging createStateStore and resolvePropValue. These APIs provide optional state management features to support end-to-end AI workflows with consistent data validation.

How do I map components to prompts for batch UI generation?▼

You need no external dependencies to model schemas and catalogs for json-render. This tooling operates independently, exposing APIs like defineSchema, defineCatalog, and buildUserPrompt to structure specs and generate prompts without requiring prerequisite installations.

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