render▌

Deploy applications to Render with Git-backed services or prebuilt Docker images via Blueprint or direct creation. \n \n Supports two deployment methods: Blueprint (Infrastructure-as-Code via render.yaml) for multi-service apps, and Direct Creation (MCP tools) for single services \n Analyzes codebases to determine runtime, build/start commands, environment variables, and required datastores (databases, Redis, cron jobs) \n Generates render.yaml configurations with automatic service type selectio

Schema definition, catalog creation, and spec streaming for AI-driven JSON rendering. \n \n Define schemas with typed specs and component catalogs using defineSchema and defineCatalog ; generate AI prompts automatically or with custom rules \n Support dynamic prop expressions including state binding ( $state , $bindState ), conditionals ( $cond ), templates, and computed functions \n Stream AI responses as JSONL patches using createSpecStreamCompiler for progressive spec building \n Built-in val

Skill by ara.so — Daily 2026 Skills collection.

React Native renderer that converts JSON specs into native mobile component trees with standard components, data binding, visibility, actions, and dynamic props.

Remotion renderer that converts JSON timeline specs into video compositions.

Generate responsive <picture> elements for Hyvä Theme templates using the \Hyva\Theme\ViewModel\Media view model.

Render videos from React/Remotion component code via inference.sh CLI.

Convert JSON specifications into type-safe React component trees with state management and dynamic expressions. \n \n Supports declarative UI specs with element trees, two-way data binding via $bindState , conditional rendering, and computed expressions \n Built-in state management through StateProvider with optional external store integration (Redux, Zustand, XState) and JSON Pointer-based state paths \n Event system with action dispatching, state watchers, and four built-in actions: setState ,

Generate \"ideal promise vs cruel reality\" visual comparisons by analyzing image content across any domain. \n \n Automatically detects image domain (architecture, portrait, product, food, travel, gaming, fitness, home, tech) and current state (deteriorated, ideal, or normal) \n Outputs three modes: idealized rendering, realistic everyday appearance, or side-by-side comparison with automatic layout (left-right or top-bottom based on aspect ratio) \n Applies five universal contrast dimensions ac

Pre-built shadcn/ui component definitions and implementations for json-render. Provides 36 components built on Radix UI + Tailwind CSS.