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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.

HTTP requests and JSON serialization for Flutter REST API integration and data parsing. \n \n Covers three HTTP methods (GET, POST, PUT, DELETE) with proper status code validation, HTTPS enforcement, and safe URI construction using Uri.https() . \n Offers two serialization strategies: manual fromJson / toJson for simple models, and code generation with json_serializable for complex nested structures. \n Includes background parsing with compute() to prevent UI jank when processing large JSON payl

Working effectively with JSON data structures.

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.

This skill enables Claude Code to create and edit valid JSON Canvas files (.canvas) used in Obsidian and other applications.

Unit testing JSON serialization and deserialization with Spring's @JsonTest and Jackson. \n \n Covers serialization/deserialization of POJOs, custom serializers/deserializers, field name mappings with @JsonProperty , and null handling using JacksonTester for type-safe assertions \n Includes patterns for testing nested objects, lists, date/time formatting, and polymorphic types with @JsonTypeInfo \n Provides Maven and Gradle setup, best practices for avoiding circular references and null inclusio

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 ,

Convert PRDs to prd.json format for ralph-tui autonomous execution. \n \n Extracts quality gates (universal and UI-specific commands) from PRD and appends them to every story's acceptance criteria \n Outputs a flat JSON structure with \"name\" and \"userStories\" at root level, ready for ralph-tui run --prd <path> \n Enforces right-sized stories completable in one agent iteration; splits oversized work into schema, backend, and UI layers \n Sets up story dependencies via dependsOn array to