Define schemas and catalogs for generating AI-driven UI specifications.
npx skills add https://github.com/hasnaxyz/open-render --skill core-hasnaxyz
Please help me install this Agent Skill. Skill: core Source: https://github.com/hasnaxyz/open-render/tree/main/skills/core Command: npx skills add https://github.com/hasnaxyz/open-render --skill core-hasnaxyz
It helps teams turn AI-generated UI ideas into deterministic, validated specifications instead of brittle free-form output.
Use the core skill to define your schema, create a catalog, and generate a prompt for a json-render project.
High-intent search queries and answers about installing and using this skill.
To generate safe AI UI specs from schemas, you define structured schemas and catalogs to produce deterministic, validated specifications, replacing brittle free-form AI output with predictable structured results.
Spec validation and state binding ensure AI-generated UIs stay predictable by validating streaming specifications against defined schemas and resolving dynamic prop expressions using state-aware runtime resolution.
You create a prompt for controlled AI outputs by defining a schema and authoring a deterministic catalog, which structures the prompt generation process to constrain the AI model's responses.
Yes, the schema-driven approach supports cross-framework rendering workflows for json-render core development, allowing you to build dashboards and forms that stay predictable across different environments.
You auto-fix invalid AI UI specifications during streaming by applying schema validation and state-aware expression resolution, which automatically repairs the output to match deterministic catalog rules.
wyattjohGenerate a formal JSON Schema from raw JSON files using genson.
aussiegingersnapScaffold and deploy MCP Apps with bundled UI resources and server endpoints.
inpinitiDefine schemas, catalogs, and AI prompts for json-render workflows.
zhangzhang-111-iEvaluate and version AI prompts with A/B testing and diffing.
