Define schemas, catalogs, and prompts for generating JSON UI specs.
npx skills add https://github.com/vercel-labs/json-render --skill core-vercel-labs
Please help me install this Agent Skill. Skill: core Source: https://github.com/vercel-labs/json-render/tree/main/skills/core Command: npx skills add https://github.com/vercel-labs/json-render --skill core-vercel-labs
The Core package provides a structured foundation for AI-driven UIs by enabling developers to define schemas, catalogs, and prompts that govern how models generate and stream UI specifications.
Define a schema with defineSchema, create a catalog with defineCatalog, and generate prompts and specs using the core utilities.
High-intent search queries and answers about installing and using this skill.
You define schemas to describe spec shapes and build catalogs to map components and actions, establishing guardrails that ensure AI models produce predictable and valid JSON UI specifications.
The best way to enforce validation for AI-generated UI specs is to use a catalog that maps allowed components and actions, combined with schema validation to ensure safe, predictable outputs.
You stream JSON UI specifications by using a spec stream compiler utility, which generates and validates the JSON spec incrementally as the AI model produces the output.
Yes, you can integrate state management with AI-generated UI specifications using a StateStore utility and prop resolution functions to bind dynamic state values into the generated UI components.
Yes, you need to define a catalog before generating prompts, because the catalog provides the component mapping and constraints required to create accurate prompts and enforce guardrails during generation.
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