¿Qué hace core?
Paquete central para definir esquemas, catálogos y generación de prompts de IA para json-render. Útil al trabajar con @json-render/core, definir esquemas, crear catálogos o construir especificaciones JSON para generación de UI/video.
Paquete central para definir esquemas, catálogos y generación de prompts de IA para json-render. Útil al trabajar con @json-render/core, definir esquemas, crear catálogos o construir especificaciones JSON para generación de UI/video.
Este paquete, vercel-labs/core, es el núcleo del ecosistema json-render. Proporciona las herramientas necesarias para definir esquemas de datos, crear catálogos reutilizables de componentes y generar prompts de IA especializados. Su utilidad radica en que permite a los desarrolladores construir especificaciones JSON de manera estructurada y eficiente, las cuales pueden ser utilizadas por motores de renderizado para generar interfaces de usuario o contenido de video de forma dinámica. Es compatible con entornos Node.js y se integra perfectamente con el paquete @json-render/core, ofreciendo una base sólida para cualquier proyecto que requiera la generación programática de UI. Al centralizar la definición de esquemas y la lógica de prompts, simplifica el flujo de trabajo y reduce la duplicación de código, permitiendo a los equipos centrarse en la lógica de negocio en lugar de en la infraestructura de renderizado.
npx skills add https://github.com/vercel-labs/json-render/tree/main/skills/corePaquete central para definir esquemas, catálogos y generación de prompts de IA para json-render. Útil al trabajar con @json-render/core, definir esquemas, crear catálogos o construir especificaciones JSON para generación de UI/video.
This repo contains 7 individual skills — each has its own dedicated page.
React renderer for json-render that turns JSON specs into React components. Use when working with @json-render/react, building React UIs from JSON, creating component catalogs, or rendering AI-generated specs.
React Native renderer for json-render that turns JSON specs into native mobile UIs. Use when working with @json-render/react-native, building React Native UIs from JSON, creating mobile component catalogs, or rendering AI-generated specs on mobile.
React PDF renderer for json-render. Use when generating PDF documents from JSON specs, working with @json-render/react-pdf, or rendering specs to PDF buffers/streams/files.
React Three Fiber 3D renderer for json-render. Use when working with @json-render/react-three-fiber, building 3D scenes from JSON specs, rendering meshes/lights/models/environments, or integrating Three.js with json-render catalogs.
Remotion renderer for json-render that turns JSON timeline specs into videos. Use when working with @json-render/remotion, building video compositions from JSON, creating video catalogs, or rendering AI-generated video timelines.
Pre-built shadcn/ui components for json-render. Use when working with @json-render/shadcn, adding standard UI components to a catalog, or building web UIs with Radix UI + Tailwind CSS components.
Zustand adapter for json-render's StateStore interface. Use when integrating json-render with Zustand for state management via @json-render/zustand.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.