Skill UI

Gradient Clipping Helper automates ML training work by guiding gradient clipping workflows, generating production-ready code and configs, and validating outputs for PyTorch, TensorFlow, and related pipelines.

Hardware-agnostic quantum ML framework enabling gradient-based training of quantum circuits, hybrid quantum-classical models, and seamless integration with PyTorch/JAX/TensorFlow alongside device portability across IBM/Google/Rigetti/IonQ.

This assistant specializes in the Makepad shader system. It helps users write, debug, and understand complex shader code using SDF2d and GLSL principles. Use it when developing custom widget backgrounds, advanced graphics, gradients, or visual effects that require low-level GPU rendering control within the Makepad framework.

This skill detects AI-generated deepfake audio used in voice phishing (vishing) attacks. It functions by extracting critical spectral features (including MFCCs, spectral centroid, and zero-crossing rate) and passing them through advanced machine learning models (like Random Forest and Gradient Boosting). The system supports batch forensic analysis, provides confidence scores, and generates detailed reports to verify the authenticity of recorded voice calls, making it essential for cybersecurity incident response and fraud investigation.

Generates polished investor and sales pitch decks as a single .pptx with gradient backgrounds, charts, tables, stat callouts, and speaker notes on every content slide for fundraising, product launches, or enterprise proposals.

An expert design system guideline for implementing modern, playful, and visually deep user interfaces using gradient principles. This guide provides engineers and designers with actionable standards covering color tokens, typography scales, component anatomy, interaction states, and WCAG accessibility criteria.

A comprehensive style guide for implementing the Cyber Y2K aesthetic across web and mobile applications. This design package captures the retro-futuristic blend of late 90s/early 2000s digital culture, modern glitch art, and iridescent holographic gradients. It provides detailed code examples using CSS, SwiftUI, and Flutter to achieve key effects like RGB splitting, animated gradients, and aggressive vector typography.

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 for implementing Flat Design 2.0 (Semi-Flat). This style maintains the clean, solid aesthetic of flat design while introducing subtle, diffuse shadows and micro-gradients to enhance perceived depth and communicate element interactability (e.g., buttons, cards). It provides detailed, cross-platform code examples for Web (CSS), iOS (SwiftUI), Flutter, and React Native.

A comprehensive technical guide for implementing the nostalgic Frutiger Aero aesthetic across web and mobile platforms. This style, popular in the mid-2000s, is characterized by glossy gradients, translucent glass effects, and nature-inspired motifs (sky, water, grass), creating an optimistic, skeuomorphic user interface experience.

Provides comprehensive guidelines and code examples (CSS, SwiftUI, Flutter) for implementing modern, dynamic gradient designs. Ideal for projects needing vibrant transitions, animated backgrounds, and an energetic, contemporary aesthetic. Learn how to apply complex color blending to backgrounds, text, and borders across major platforms.

A comprehensive guide for developers to implement the iconic Vaporwave aesthetic across multiple platforms, including Web (CSS), iOS (SwiftUI), and Flutter. It details core principles such as 90s OS motifs, cyan/magenta neon gradients, and surreal pastel color palettes, enabling the creation of nostalgic, retro-futuristic user interfaces.