Skill UI

A comprehensive guide to controlling cinematic camera movements (pan, tilt, zoom, dolly, roll) in AI video generation (text-to-video and image-to-video). Learn how to utilize specific parameters to add professional dynamic shots, such as dramatic zooms, slow pans, or upward reveals, significantly enhancing the artistic quality of your AI-generated content.

Tracks CPU, memory, disk/network I/O, DB connections, and threads via the resource-usage-tracker plugin to reveal performance bottlenecks, recommend right-sizing, and guide cost-saving actions.

A powerful tool for creating professional, animation-rich, and zero-dependency HTML presentations. It supports generating pitch decks, workshop materials, or internal talks from scratch, or converting existing .ppt/.pptx files. The system ensures mandatory viewport fitting, responsiveness across all devices, and includes advanced features like keyboard/touch navigation and reveal animations, resulting in production-quality, modern web presentations.

Extracts cognitive fingerprints from any text using the DHDNA framework to reveal reasoning styles, decision habits, values, and emotional tones, ideal for profiling authors, comparing thinkers, or unpacking how someone reasons.

Helps product managers match hypotheses, risks, and resources to the right Proof of Life probe so they can pick the cheapest prototype that reveals the harsh truth before overbuilding.

Anime.js is a powerful and lightweight JavaScript animation engine designed for creating high-fidelity, complex web animations. It provides precise control over DOM, CSS, and SVG elements, allowing developers to build sophisticated, award-caliber user interfaces. Ideal for orchestrating multi-stage landing pages, implementing staggered reveals, and animating intricate SVG paths using advanced easing functions and timelines.

Magic Animator is an AI-powered skill designed for designers to breathe life into static visuals. It transforms flat logos, UI elements, and icons into engaging, premium motion assets. Use it to create micro-interactions, sophisticated loaders, and memorable brand reveals for web, apps, and social media, ensuring a high "wow" factor and dramatically improving user experience.

A comprehensive toolkit designed for cybersecurity professionals to deobfuscate malicious JavaScript code. It reverses complex encoding layers (Base64, Hex, Unicode), eval chains, and control flow obfuscation techniques found in phishing pages, web skimmers, and dropper scripts, revealing the original malicious logic for thorough forensic analysis and threat intelligence gathering.

This skill provides systematic methods and advanced techniques to deobfuscate multi-layered PowerShell malware. It utilizes Abstract Syntax Tree (AST) analysis, dynamic execution tracing, and specialized tools to reveal hidden payloads, C2 infrastructure, and the original malicious logic. It is essential for security analysts, red teamers, and incident response teams performing deep malware analysis.

A comprehensive methodology for detecting advanced system compromises, including rootkits, hidden processes, and kernel-level malware. It utilizes memory forensics, cross-view detection (comparing different system views), and integrity checking to identify manipulated kernel structures, hooked system calls (SSDT, IAT, IRP), and covert network connections. Ideal for deep forensic investigations where standard tools fail to reveal the true state of a compromised system.

This script is designed for malware analysis, specifically targeting .NET-based Remote Access Trojans (RATs) like Agent Tesla. It automatically extracts embedded and obfuscated configuration data, including SMTP credentials, FTP endpoints, Telegram tokens, and C2 webhooks. It utilizes advanced techniques such as regex pattern matching, Base64 decoding, and simulating XOR/SHA256 decryption to reveal critical threat intelligence for security research.

This automated toolkit streamlines memory forensics using the Volatility3 framework. It is designed to analyze raw memory dumps from Windows, Linux, and macOS, revealing complex threats such as process injection, hidden rootkits, malicious code artifacts, and illicit network connections that traditional disk-based methods cannot detect. Essential for real-time incident response and deep security auditing.