Skill UI

Design n8n AI agents, chains, classifiers, extractors, tool calling, memory, RAG, structured output, and human-review flows. Covers sub-node patterns, connection types, and best practices for production workflows.

Master Node.js development principles for 2025, covering framework selection, architecture design, async patterns, validation, and security. Focuses on decision-making logic rather than code memorization to help build scalable and secure applications effectively.

This skill provides comprehensive patterns for creating, maintaining, and validating OpenAPI 3.1 specifications for RESTful APIs. Use it for design-first API contract definition, generating specs from existing code, creating detailed API documentation, validating implementation conformance against the contract, and generating client SDKs. It ensures consistency across the entire API lifecycle.

A comprehensive reference for 12 key software architecture patterns including CQRS, Event Sourcing, Saga, Circuit Breaker, Bulkhead, and more. Provides definitions, use cases, implementations, and trade-offs for each pattern.

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. Learn core capabilities including few-shot learning, chain-of-thought prompting, prompt optimization, template systems, and system prompt design. This skill helps design complex prompts for production applications, optimize consistency, and implement structured reasoning patterns for specialized AI assistants.

Build accessible, production-grade design systems with Radix UI headless primitives. Covers theming strategies, compound component patterns, and WCAG-compliant React component libraries with full styling control.

Generate production-quality React components and UIs using the specialized Rayden UI component library and Tailwind CSS. This skill ensures that all generated code strictly adheres to a defined design system, including correct component usage, design tokens, prop validation, and established layout patterns. Ideal for scaffolding complex pages like dashboards, login forms, and data tables while maintaining premium aesthetics and consistency.

This skill allows users to build and maintain complex UI components and full screens directly within Figma using the Figma MCP. It rigorously enforces a defined design system (like Rayna UI) by validating design tokens, applying craft rules, detecting anti-patterns, and ensuring visual consistency. Ideal for creating new components, composing entire dashboards or landing pages, or auditing existing files for compliance.

This specialized skill reviews user interface animations, motion patterns, and interactive code (CSS, Framer Motion, etc.) against a strict, high-craft standard. It evaluates not only functionality but also performance, accessibility, physical correctness, and adherence to motion design principles. Use it when reviewing diffs related to transitions, keyframes, or gestures to ensure the motion feels right, not just that it runs.

This skill provides best practices for designing reusable Makepad widgets based on Robrix and Moly codebase patterns. It covers production-ready patterns like modal overlays, collapsible sections, drag-and-drop, and dynamic styling. Ideal for creating component APIs and optimizing view caching in Rust-based UI development.

This guide provides comprehensive patterns for designing and implementing secure multi-tenant SaaS applications using shared databases. It covers critical techniques like Row-Level Security (RLS) in PostgreSQL, implementing tenant-aware middleware in TypeScript (Express/Fastify), and enforcing data scoping at the ORM level (Prisma/Drizzle). Learn how to prevent data leakage and manage tenant isolation across shared schemas.

This comprehensive, zero-trust security auditor scans third-party AI agent skills before installation. It performs a rigorous 6-phase review process, analyzing surface patterns, script integrity, permissions, and supply chain risks. It is designed to detect malicious payloads, credential theft, instruction overrides, and prompt injection attacks, ensuring secure AI development and deployment.