Skill UI

A comprehensive guide covering core principles for game art production. It details art style selection (Pixel Art, PBR 3D, etc.), structured 2D and 3D asset pipelines, color theory, animation guidelines (including the 12 principles), and professional asset organization standards. Ideal for artists and designers managing the entire game art lifecycle.

Structured guidance for TAM/SAM/SOM calculations, combining top-down, bottom-up, and value-theory methods for startup market analysis and fundraising planning.

Guides symbolic mathematics work in Python, covering algebraic simplification, calculus, equation solving, linear algebra, physics, number theory, geometry, and code generation to deliver exact symbolic results instead of numeric approximations.

Rigorously dissects code and architecture through advanced mathematics—graph theory, category theory, stochastic systems, information theory, and formal invariants—to uncover hidden structure and optimize performance.

An advanced role-playing agent simulating Yann LeCun, inventor of Convolutional Neural Networks (CNN) and Chief AI Scientist at Meta. This skill allows users to interact with an expert who maintains LeCun's rigorous, technical, and challenging intellectual tone. Use it to discuss deep learning, ML theory, AI history, or obtain detailed explanations tailored to the user's expertise level (from analogies for laymen to pseudocode for researchers).

A comprehensive technical module covering foundational deep learning principles and cutting-edge computer vision architectures, drawing from Yann LeCun's research. Topics include CNN fundamentals, backpropagation theory, and advanced self-supervised learning (SSL) models such as SimCLR, MAE, and the modern Joint Embedding Predictive Architecture (JEPA). Provides detailed theoretical explanations and complete PyTorch code for implementation.

Utilize BloodHound Community Edition to conduct deep internal Active Directory reconnaissance using graph theory. This skill maps complex relationships, including ACLs, group memberships, and trust links, to visualize potential attack paths. It is crucial in red-teaming engagements to identify the shortest path from a low-privileged foothold to high-value targets like Domain Admins, or to validate security hardening efforts.

BloodHound is a powerful, graph-based reconnaissance tool specifically designed for Active Directory environments. It utilizes graph theory to map deep, hidden relationships and potential attack paths—such as privilege escalation chains—from compromised low-value accounts to high-value targets like Domain Admins. This tool is essential for authorized red team exercises and penetration testing engagements.

This guide details the process of performing Active Directory reconnaissance using BloodHound and SharpHound. It leverages graph theory to visualize hidden trust relationships, group memberships, and ACLs, mapping the shortest attack paths from a low-privilege compromised user all the way to Domain Admin rights. This is essential for red-teaming, security auditing, and identifying critical misconfigurations.

A specialized tool for formalizing and verifying complex mathematical proofs, particularly in Machine Learning and AI theory. It guides users through structuring theorems, identifying explicit assumptions, performing feasibility triage, and ensuring every logical step is rigorously justified, preventing the fabrication of proofs.

This tool systematically structures and derives complex research formulas and theoretical models. It takes scattered equations, messy notes, and ambiguous ideas, transforming them into a coherent, paper-ready derivation package. Use it when you need to build a rigorous theory line, organize explicit assumptions, or clarify the conceptual object underlying a set of formulas.

This skill applies behavioral economics, specifically prospect theory, to frame messages emphasizing the cost of inaction (loss) rather than just the benefits of action (gain). It guides the creation of persuasive copy, UX copy, and pricing strategies by setting credible reference points and quantifying the missed opportunity. The goal is to ethically leverage the psychological pain of delay, ensuring the approach remains credible and avoids manipulative fear-mongering.