Skill UI

This skill provides an interactive wizard to configure your project's design system step-by-step. It guides you through selecting app type, brand colors, design concepts, fonts, and generating the initial app page. It supports React and Tailwind-v4 stacks, ensuring consistent styling via StyleSeed. Use it for new projects needing a complete UI setup.

This skill enables you to view, add, or modify design tokens within the StyleSeed design system. It manages core visual properties like colors, typography, spacing, radius, and shadows by synchronizing JSON source files with CSS implementations. Use it to maintain consistency across your UI components and ensure design system integrity during development.

Analyzes a project's StyleSeed engine files, compares them with a pinned upstream revision, and safely updates skills, .cursorrules, DESIGN-LANGUAGE.md, and Golden Rules with explicit user approval. Use for maintaining the design system engine without overwriting custom UI.

This skill enables you to create interface designs, wireframes, and comprehensive design systems. It covers user research methodologies, accessibility standards like WCAG, and modern design tools such as Figma. The expert specializes in design tokenization, component libraries, and cross-platform consistency. Capabilities include usability testing, information architecture, visual design, interaction design, and design system governance. Ideal for building accessible, user-centered digital experiences across web, mobile, and desktop platforms.

Rigorous visual validation expert specializing in UI testing, design system compliance, and accessibility verification. Uses visual regression tools and systematic analysis to verify UI modifications, responsiveness, and cross-platform consistency.

Operate and evaluate a local Unified AI System through governed MCP tools without provider credentials. This skill enables secure inspection of AI gateways, including prompt enhancement and authorization boundaries, ensuring safety through content review and Docker image analysis before deployment.

This comprehensive skill transforms raw game concepts into fully actionable, structured Unity development projects. It guides users through a five-phase pipeline, generating detailed Game Design Documents (GDDs), technical scene blueprints, core system architectures, and ready-to-use AI prompts for assets (3D models, textures, music, SFX). Ideal for concept validation and starting a complex game project from scratch.

This skill provides production-grade patterns for Unity's Data-Oriented Technology Stack (DOTS). It covers essential components like Entity Component System (ECS), the Job System, and the Burst Compiler, enabling developers to build high-performance, scalable games. Use this when optimizing CPU-bound logic, managing thousands of entities, or migrating traditional OOP game code to a data-oriented design.

This expert guide provides comprehensive best practices for developing robust, high-performance C++ code within Unreal Engine 5.x. It covers critical topics such as UObject lifecycle management, adhering to Epic Games' strict coding conventions, optimizing performance-critical sections (e.g., avoiding unnecessary Ticking), and correctly using soft references for asset loading. Use this skill for professional game development tasks requiring deep knowledge of the Unreal reflection system and advanced C++ patterns.

Comprehensive guide for managing users, groups, permissions, sudo access, and LDAP integration on Linux systems. Includes practical scripts for bulk user operations and access auditing. Ideal for system administrators and DevOps engineers.

LWC is a durable memory system for coding agents that preserves project decisions, code structure, and verified context across sessions. It utilizes a physical Wiki document graph and a CodeGraph index to enable source-grounded recall. This tool helps agents search, update, and maintain knowledge without losing critical information during future coding-agent interactions.

Finds similar vulnerabilities and bugs across codebases using pattern-based analysis. Ideal for hunting bug variants, building CodeQL/Semgrep queries, analyzing security issues, and systematic code audits after an initial discovery.