Skill UI

Guides creation of algorithmic art philosophies and p5.js implementations that emphasize emergent behavior, seeded randomness, and a meticulously crafted algorithmic process, producing philosophy .md plus interactive .html/.js viewers for flow fields, particles, and controlled chaos.

Guides creation of algorithmic art philosophies and p5.js implementations that emphasize emergent behavior, seeded randomness, and a meticulously crafted algorithmic process, producing philosophy .md plus interactive .html/.js viewers for flow fields, particles, and controlled chaos.

Enables Claude to monitor and analyze application CPU usage, detect hotspots, inefficient loops and regexes, and offer optimization strategies such as asynchronous processing or algorithmic improvements to boost performance.

This script automates the process of conducting comprehensive ICS/OT asset discovery using the Claroty xDome API. It facilitates inventorying critical industrial assets (PLCs, RTUs, HMIs) across various Purdue Model levels. Ideal for brownfield environments, preparing for IEC 62443 compliance, and gaining visibility into undocumented operational technology networks.

This tool provides a structured methodology for assessing the security posture of SCADA Human-Machine Interface (HMI) systems. It evaluates potential vulnerabilities in web-based HMIs, thin-client configurations, authentication mechanisms, and communication pathways between HMIs and PLCs, ensuring compliance alignment with rigorous standards like IEC 62443 and NIST SP 800-82.

Logic Lens is an advanced AI skill that performs deep, formal logic-driven code review. Unlike standard linters, it analyzes code for complex issues like race conditions, security vulnerabilities (SQL injection, XSS), type safety flaws, and algorithmic errors across 9 critical risk categories. It is ideal for pre-merge PR reviews, auditing sensitive code paths, and refactoring complex business logic.

This comprehensive guide provides expert strategies for building a successful social media presence across multiple platforms. It covers platform selection matrices, content pillar planning, advanced algorithmic best practices (TikTok, Instagram, LinkedIn), and engagement tactics. Use this skill when developing content calendars, optimizing posts for maximum reach, or building a strong, engaged online community.

A powerful Python skill for adding professional callouts, arrows, and labels to various images, including screenshots, diagrams, and architecture documents. It allows users to visually highlight specific areas or changes. The advanced `annotate.py` module provides algorithmic label placement, optimizing for readability and preventing overlaps. Ideal for creating clear PR descriptions, documenting changes, or building annotated demo assets.

This skill provides the creative direction layer for video production, focusing on *what* the content should feel like, not just *how* to render frames. It distills complex visual aesthetics (such as angelcore, cloud-trance, or hyperpop) into actionable mood, color palettes, and rhythmic editing grammars. Use it when building music videos, stylistic reels, or guiding AI b-roll generation that must maintain a unified, intentional visual narrative.

This skill calculates model interpretability for algorithmic trading signals using PageRank. It constructs a feature-contribution graph from an LSTM or Transformer signal and executes a single-entry PageRank calculation. The result identifies the top-K features that most significantly drove the prediction, providing a "regulator-grade" audit trail essential for compliance with regulations like the EU AI Act.

This skill utilizes hyperbolic space embedding (Poincare ball model) to represent complex data structures with inherent hierarchy, such as dependency trees, ontologies, or module taxonomies. Unlike standard Euclidean embeddings, hyperbolic space preserves hierarchical distances efficiently, allowing for accurate distance calculations (geodesic distance) that grow logarithmically with tree depth. It is ideal for advanced knowledge graph analysis and code architecture mapping.

This guide assists authors targeting the ACM SIGMOD conference. It provides expert advice on positioning, framing, and structuring database systems papers. It emphasizes strong algorithmic or systems contributions, realistic workloads, and necessary evidence, while also advising on routing relative to similar venues like VLDB and ICDE.