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Core library for defining JSON schemas, component catalogs, and streaming spec utilities used to generate structured UI/UX JSON from AI.
@json-render/core provides the foundational schema and catalog primitives for building and validating JSON ‘specs’ that describe UI components and actions. It includes utilities to define schemas, create catalogs of components, resolve dynamic prop expressions, stream incremental JSON patches (SpecStream), and validate or auto-fix specs. The package is aimed at systems where AI generates structured UI or app specs that must be validated, merged, and applied incrementally.
Use this skill when you need to: generate structured JSON UI specs from an LLM, enforce a schema for AI outputs, stream incremental spec patches, or map named components to typed prop definitions. Common scenarios: AI-driven UI builders, generative design systems, interactive chat editors that output JSON, and any workflow that merges or patches AI-produced JSON.
Best used by developer-focused agents with code execution capability: Copilot/Codex-style agents, Claude Code, and tool-enabled LLMs that can produce and validate JSON snippets. The repo and README suggest integration into frameworks that orchestrate AI prompts and JSON output.
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