Skill UI

Provides guidance for organizing and navigating Jupyter Notebook workflows, focusing on structuring analysis, experiments, and reports within interactive Python sessions.

A comprehensive guide for managing user interactions and system lifecycle events within the Makepad UI framework. It covers handling various input types (mouse, touch, keyboard), lifecycle events (Startup, Shutdown), and propagating custom actions between widgets and their parents. Essential for building highly responsive and interactive graphical user interfaces.

This skill covers implementing complex user interactions within Three.js scenes. It demonstrates techniques like raycasting for precise object selection and click detection, handling mouse and touch inputs, and integrating various camera controls (OrbitControls, FlyControls, FirstPersonControls). Use this when building highly interactive, immersive 3D web applications.

A specialist in building highly interactive, spatial, and weightless web interfaces using advanced techniques like GSAP, 3D CSS transforms, and React. This skill excels in implementing modern visual trends such as glassmorphism and isometric grids, providing a premium, immersive feel for sophisticated dashboards and landing pages.

A comprehensive master guide for developers looking to embed interactive 3D scenes created in Spline.design into modern web projects. It provides specific integration methods for various frameworks, including React, Next.js, Vue, and vanilla JavaScript, ensuring optimal performance and runtime control for stunning UI/UX experiences.

A comprehensive guide for mastering version control using GitHub and Git. It provides two modes: Guided Setup for first-time users, and an adaptive, hands-on curriculum for learning advanced concepts like branching, PR workflows, and CI/CD. The system automatically adjusts language and depth based on the user's skill level, ensuring effective, real-world learning.

This guide details how to build an MCP app, which is an MCP server enhanced to serve interactive UI resources. It allows developers to render complex widgets—such as forms, pickers, dashboards, and confirmation dialogs—directly inline within a chat conversation. Learn about the architecture, host specifics, and when to use a widget versus standard text output.

Analyze a codebase to assemble an interactive knowledge graph showing architecture, components, and relationships, enabling full rebuilds, incremental updates, or audits with optional auto-update control.

Launches an interactive web dashboard designed to visualize the knowledge graph derived from a target codebase. This tool helps developers gain a high-level, structural understanding of complex projects by mapping out relationships, module dependencies, and the overall knowledge network of the code, making maintenance and onboarding significantly easier.

Gradio is a powerful Python library designed for building and sharing machine learning demo applications and user interfaces (UIs). It allows developers to quickly create interactive web prototypes, from simple interfaces to complex chat interfaces, streamlining the process of demonstrating ML models without needing extensive front-end coding knowledge. It supports advanced features like custom layouts and streaming outputs.

repo-scan is a powerful tool designed to audit large, complex, cross-stack codebases (C++, Java, iOS, Web). It classifies every file into project code, third-party dependencies, or build artifacts. Key features include detecting embedded libraries (e.g., FFmpeg, OpenSSL) and providing a practical 4-stage assessment (Core Asset / Extract / Refactor / Deprecate) via an interactive HTML report. Essential for managing monorepos and planning major refactoring efforts.

This skill guides users on performing advanced, cloud-native threat hunting using AWS Detective. It leverages interactive behavior graphs, entity investigation timelines, and GuardDuty correlations to automatically analyze AWS logs (CloudTrail, VPC Flow Logs, etc.). Users can efficiently investigate suspicious IAM users, detect lateral movement, and correlate complex attack narratives across multiple AWS services.