Skill UI

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.

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.

Utilizes advanced AI to generate, compare, and integrate multiple production-ready, modern, and highly customizable UI component variations. Instead of a single solution, this skill provides multiple design options (e.g., pricing tables, contact forms) with advanced styling like glassmorphism and animations, ensuring the final design is unique and visually stunning. Ideal for front-end developers and designers pushing design boundaries.

Leverage Certificate Transparency (CT) logs via crt.sh and Certstream to proactively monitor for suspicious SSL/TLS certificates. This skill helps detect lookalike domains, unauthorized certificate issuance, and potential phishing infrastructure targeting your organization before attacks launch. Includes querying logic and threat intelligence integration.

A comprehensive cybersecurity tool designed to analyze malicious VBA and XLM macros embedded within Microsoft Office documents (Word, Excel, PowerPoint). It facilitates deep forensic investigation by extracting, deobfuscating, and tracing the full attack chain, including identifying auto-execution triggers, payload download URLs, and file writing techniques. Useful for malware analysts investigating phishing campaigns and maldocs.

A comprehensive tool for detecting and analyzing covert communication channels used by sophisticated malware. It focuses on identifying anomalies in network traffic, such as DNS tunneling, ICMP exfiltration, and steganographic HTTP abuse, which are used for Command and Control (C2) communication and data exfiltration. Ideal for security incident response, threat hunting, and building advanced network detection rules.

Analyze email headers to uncover sender origins, routing chains, and authentication results, enabling defenders to validate legitimacy and spot phishing indicators using manual inspection and automation scripts.

This skill analyzes the cryptographic algorithms, key management systems, and file encryption routines employed by various ransomware families. It covers hybrid schemes like AES-RSA and modern ciphers such as ChaCha20. Use this when assessing data recovery feasibility, reverse engineering ransomware binaries, identifying implementation weaknesses (e.g., IV reuse, key derivation flaws), or developing custom decryptor tools.

A powerful security tool for querying Certificate Transparency (CT) logs via crt.sh and pycrtsh. It detects potential security threats such as phishing domains, unauthorized certificate issuance, and shadow IT infrastructure. The tool specifically monitors new certificates for typosquatting and brand impersonation using advanced distance metrics, enabling proactive security threat detection.

This powerful tool leverages DNSTwist, a comprehensive domain permutation engine, to detect various forms of domain impersonation. It generates thousands of potential lookalike domains (including typosquatting, attribute flaws, and homographs) and performs deep checks on DNS records, web page similarity (ssdeep/pHash), and registration status. It is vital for security analysts and threat hunters to proactively monitor for brand squatting and sophisticated phishing threats targeting an organization.

AWT provides AI coding tools with the ability to perform sophisticated End-to-End (E2E) web testing using a real browser. It accepts declarative YAML scenarios and executes them via Playwright. Key features include visual matching (OpenCV + OCR) instead of relying on fragile DOM selectors, automatic platform detection (React, Vue, etc.), and structured failure diagnosis for improved AI coding workflows.

This solution guides the implementation of a phishing reporting button within email clients, creating a critical feedback loop for security teams. By integrating with SOAR platforms, reported suspicious emails undergo automated triage, including IOC extraction, sandbox analysis, and threat intelligence checks. The workflow enables rapid classification, automated remediation (e.g., mass retraction, sender blocking), and provides detailed feedback to the user reporter, significantly enhancing overall security posture.