Define schemas, catalogs, and prompt-generation tooling for json-render.
npx skills add https://github.com/xztxy/json-render --skill core-xztxy
Please help me install this Agent Skill. Skill: core Source: https://github.com/xztxy/json-render/tree/main/skills/core Command: npx skills add https://github.com/xztxy/json-render --skill core-xztxy
This core package provides the essential tooling to define schemas, create catalogs, and generate AI prompts for json-render, enabling robust, reusable UI specs and predictable AI outputs.
Define a schema and a catalog for your data model, then generate prompts to produce AI-driven specs.
High-intent search queries and answers about installing and using this skill.
To generate AI prompts from JSON schemas, use defineSchema to model spec structures and prompt builders to produce validated, AI-driven UI specs. This ensures predictable outputs within guard-railed environments.
Mapping UI components to definitions requires using defineCatalog to create a catalog. This maps components and actions to structured definitions, enabling reusable catalogs for AI-generated dashboards or UI narratives.
SpecStream handles streaming JSON spec output by processing state-resolvers to produce validated specs. It drives AI-generated UI specs by streaming structured output during the json-render workflow.
Yes, you can use defineSchema to build reusable data models for AI-generated dashboards. It models the structure of specs and catalogs to provide a safe, guard-railed environment for generating UI narratives.
You need to define a catalog for JSON rendering workflows when building UI specs that require mapping components and actions to definitions. This creates a reusable catalog to power predictable AI outputs.
Yes, the core tooling works without external dependencies. It provides essential schema definition, catalog creation, and prompt-generation utilities natively to enable robust UI specs and predictable AI outputs.
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