Skill UI

This skill acts as a routing layer for UI development tasks. It helps agents select the smallest useful UI skill context via the ui-skills CLI before implementation. It ensures efficient context loading by identifying the task category and loading only necessary skills, avoiding unnecessary overhead.

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.

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.

This skill inspects current product architecture, dependencies, and validation loops before planning or implementing changes. It reads documentation, tasks, and specs to trace dependencies and report risks. It performs read-only inspection and hands findings to planning or implementation tools for safe workflow integration.

Detect unexpected code execution paths such as command injection, eval/exec usage, remote execution, or arbitrary code loading. Use probes to test if the agent executes injected commands, evaluates untrusted input, or loads remote scripts.

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.

Expert Unity developer skill for building high-performance, cross-platform games with optimized C#, URP/HDRP rendering pipelines, advanced asset management, and scalable architecture.

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.

Unship is a dedicated local workflow for front-end developers to compare multiple AI-generated UI alternatives (such as layouts, copy, or flows) directly within a running application environment. Instead of committing to one generated version, it adds temporary source-level variants, allowing for visual comparison. After the user selects the final version, the skill automatically cleans up all unused temporary code and attributes, ensuring a clean, production-ready codebase. Note: This tool is for local iteration only, not for production A/B testing or analytics.

Rewrites commit messages to sound like a careful human engineer wrote them. Strips AI/marketing slop (e.g., 'comprehensive solution', 'robust implementation', 'leverage') while keeping Conventional Commits format. Ensures direct, specific, and imperative subject lines with optional context-rich body. Ideal for developers who want clean, professional git history without AI-generated jargon.