Define JSON schemas, catalogs, and AI prompts for rendering.
npx skills add https://github.com/supersterling/primus --skill json-render-core
Please help me install this Agent Skill. Skill: json-render-core Source: https://github.com/supersterling/primus/tree/main/.agents/skills/json-render-core Command: npx skills add https://github.com/supersterling/primus --skill json-render-core
Provides a comprehensive suite for defining JSON schemas, catalogs, and AI prompts to drive structured JSON outputs and UI specs in applications.
Create a schema with defineSchema, build a catalog with defineCatalog, then use the catalog to generate AI prompts.
High-intent search queries and answers about installing and using this skill.
You can define and validate JSON schemas for AI prompts in TypeScript using the defineSchema utility, which structures definitions for specs and catalogs. The defineCatalog function then maps components to these definitions to generate associated AI prompts.
JSONL spec streaming is a process that generates streaming JSON specs with progressive updates for AI workflows. The Skill provides tooling that outputs structured JSONL streams to drive AI-assisted content generation and dynamic UI specs.
State resolution for reactive UI JSON specs is managed using the createStateStore and resolvePropValue utilities. These functions support computed expressions and state stores to dynamically resolve property values within your defined schemas.
Yes, you can use this tooling in any TypeScript codebase without external dependencies. The Skill operates independently with its own utilities for schema definition, catalog creation, and spec streaming, requiring no additional packages.
The best way to orchestrate UI component definitions and AI prompts is to use the defineCatalog utility. It maps components and actions to structured definitions and automatically generates the associated AI prompts needed for JSON rendering.
You should avoid using streaming JSON specs when your AI workflows do not require progressive updates or real-time UI spec generation. For static content generation, standard schema validation without the spec streaming tooling is sufficient.
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