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.

Writes rigorous mathematical proofs for ML/AI theory, including theorem/lemma drafting, filling missing proof steps, formalizing proof sketches, and checking whether claims are provable from assumptions.

This skill structures and derives research formulas, building coherent derivation packages from scattered notes. It helps users formalize theory lines, organize assumptions, and produce paper-ready derivation documents. Ideal for researchers and students who need to clarify mathematical derivations or rewrite theory notes into structured, coherent presentations.

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.