Skill UI

This documentation serves as a catalog for integrating various AI powerups and structured features into administrative web panels. It guides developers on locating and correctly importing specific abstractions, such as `GetSettingsFeature`, ensuring type safety and proper implementation when extending system capabilities.

This guide covers creating and writing Expo native modules and views using the Expo Modules API. It supports Swift for iOS, Kotlin for Android, and TypeScript. Topics include module definition DSL, native views, shared objects, config plugins, lifecycle hooks, autolinking, and type system. Ideal for adding native functionality like camera or sensors to Expo apps.

A portable, framework-agnostic observability system for React and React Native apps. It defines typed event taxonomies, implements non-blocking analytics fan-out, reports real-user Core Web Vitals, and manages user consent. Ensures SSR safety and prevents vendor failures from breaking the application.

This skill provides a portable, framework-agnostic SEO system for React or React Native-for-web frontends. It centralizes site metadata in a constants module, derives canonical URLs, and generates per-route metadata including titles, descriptions, Open Graph, and Twitter cards. It also produces sitemaps, robots rules, RSS feeds, and typed JSON-LD without requiring manual meta tag copy-pasting.

Create and manage production-ready Grafana dashboards for comprehensive system observability. Covers dashboard design principles, panel types, variables, alerts, and best practices for monitoring applications, infrastructure, and business metrics.

Expert Haskell engineer specializing in advanced type systems, pure functional programming, and high-assurance system design. Provides guidance on GADTs, type families, STM, async, typeclass design, performance tuning, and Cabal/Stack projects.

This skill enforces a rigorous data validation protocol by establishing hard boundaries at every point data enters the system (API requests, user input, environment variables, webhooks, etc.). It mandates a four-phase process: detection, trust classification, mandatory filtering (schema validation, sanitization, type checking), and final verification. This prevents untrusted data from reaching core business logic, mitigating risks like SQL injection and XSS.

Comprehensive guide to LLM Operations (LLMOps). Covers advanced topics like Retrieval-Augmented Generation (RAG), vector database management (Pinecone, Chroma), embeddings, fine-tuning, prompt engineering, and cost optimization. Essential for bridging the gap between AI prototypes and reliable, scalable, production-grade AI systems.

Expert skill for Makepad animation development. Generates animation code, explains states and transitions, handles hover effects, animator timelines, easing functions, and keyframe animations. Used for building interactive UI feedback in Makepad Rust applications. Supports Forward, Snap, Reverse, Loop, and BounceLoop timeline types with various easing functions.

Design efficient PostgreSQL schemas using best practices for data types, indexing, and constraints. Covers normalization, partitioning, and performance optimization for scalable database systems.

Master Rust 1.75+ with advanced async patterns, type system features, and production-ready systems programming. Covers ownership, concurrency, web services, error handling, testing, unsafe code, and modern tooling.

This skill generates robust JSON-LD structured data markup for various web components, including blogs, FAQs, tools, and SaaS pages. By implementing standard Schema.org types (WebSite, Article, FAQPage, etc.), you can significantly improve your SEO, boost click-through rates (CTR), and provide clear context to both search engines and AI systems. Includes implementation guidance for modern frameworks like Next.js.