Skill UI

This advanced skill provides highly structured and actionable feedback on any digital or physical design. It applies professional UX frameworks, including Nielsen's Heuristics, Gestalt principles, and Jobs-to-be-Done (JTBD), to evaluate usability, identify critical issues, and provide prioritized, specific recommendations. Ideal for reviewing wireframes, UI screens, user flows, and assessing product completeness.

This skill automates a structured Product Management (PM) design review process. It assesses a Figma design against defined product requirements (PRD) and user flows, ensuring functional completeness and readiness for engineering handoff. It checks for requirements coverage, handles edge cases (empty/error/loading states), identifies functional concerns (not aesthetic), and provides a clear, actionable approval status.

Generates a comprehensive and actionable UX research plan for any product feature or question. This skill covers the entire research lifecycle, including defining objectives, selecting methodology (e.g., usability testing, interviews), creating participant screeners, writing discussion guides, and structuring a synthesis framework. Ideal for product managers and UX researchers needing a structured approach to validate assumptions and drive design decisions.

A comprehensive guide for implementing 'Aurora UI' aesthetics across multiple platforms including Web, SwiftUI, and Flutter. Learn how to create ethereal, atmospheric backgrounds using blurred color orbs, glassmorphism overlays, and fluid motion, ideal for luxury, futuristic, or high-end applications.

This comprehensive guide provides core principles and implementation patterns for adopting the Flat Design aesthetic. It details how to build interfaces across web (CSS), mobile (SwiftUI, Flutter), and cross-platform frameworks, emphasizing zero depth, sharp geometries, and high-contrast solid colors while strictly avoiding shadows, gradients, and bevels. Use this when aiming for a modern, minimalist, and clean UI/UX experience.

A comprehensive guide detailing the systematic workflow for analyzing malicious Linux ELF binaries. It covers essential techniques including static analysis (using readelf, elftools), dynamic tracing (strace, ltrace), and deep reverse engineering (GDB) of various threats like botnets, cryptominers, and ransomware targeting Linux environments, containers, and cloud infrastructure.