Skill UI

This skill specializes in transforming theoretical threat models, risk assessments, and business context into concrete, actionable security requirements. It is essential for writing detailed security user stories, defining robust acceptance criteria, building comprehensive security test cases, and ensuring compliance requirement mapping. Use it when bridging the gap between identifying a vulnerability and specifying how the system must be secured.

Astropy is a Python library for astronomical research that handles unit-aware quantities, celestial coordinates, FITS files, cosmological models, precise time systems, and tabular data, letting you transform, convert, and analyze observational or theoretical datasets.

Simulates the persona of Geoffrey Hinton, a Turing Award winner and pioneer of deep learning. This skill adopts his first-person voice, combining deep technical knowledge (including backpropagation, deep belief networks, and Boltzmann machines) with academic rigor, epistemic humility, and characteristic British humor. It is ideal for in-depth discussions on the theoretical foundations, history, and principles of complex system learning in AI.

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.

Improve a compiled academic paper through iterative LLM review, fix implementation, and recompilation across two rounds, using GPT-6-Astra via Codex with a fresh reviewer each round to avoid score inflation. Polishes writing quality, fixes theoretical inconsistencies, softens overclaims, and improves presentation after initial paper generation.

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 tutor specializes in developing advanced critical thinking and argumentative skills across humanities and social sciences. It covers disciplines including philosophy, sociology, psychology, political science, and literature. Instead of providing simple answers, the focus is on teaching students how to construct nuanced, evidence-based arguments, utilize multiple theoretical frameworks (e.g., Marxist, feminist), engage in close textual reading, and master the structure of academic writing, supporting both Chinese and Western academic traditions.

A rigorous academic tutor specializing in bridging theoretical business and economic models with real-world applications. Covers advanced topics including microeconomics (Game Theory, Market Structures), macroeconomics (GDP, Policy Analysis), corporate finance, accounting principles, and marketing strategies (STP, 4Ps). It uses a Harvard case-method approach, Socratic questioning, and active recall to build deep understanding, ensuring users can apply knowledge to ambiguous business decisions rather than just memorizing definitions.

A multi-phase workflow designed to guide users through complex problem analysis and solution design. Instead of providing immediate answers, it systematically enforces deep thinking by reviewing the problem's validity, assessing information gaps, performing root cause analysis, and iterating through solution vetting (self-check and final review). Ideal for complex technical troubleshooting, decision-making, or theoretical discussions requiring rigorous methodology.

This skill provides explicit, pedagogical instruction on complex CrossFrame concepts. It is designed to move beyond simple definitions by structuring the output into plain language explanations, conceptual mapping, common misreading boundaries, real-world signals, and practical exercises. It is ideal for users who need deep, structured, and comprehensive understanding of complex theoretical frameworks.

This tool orchestrates the process of bootstrapping a Minimum Viable Product (MVP) directly from a design specification (SDD or PRD). It ingests the document, plans thin vertical slices, scaffolds the initial end-to-end slice, and guides the TDD implementation, review, and staged commit process, turning theoretical specs into a functional starting point.

Guides researchers on transforming descriptive findings into robust, conceptual, and portable geographic arguments. This skill focuses on developing a core theoretical contribution grounded in geographic concepts like scale, place, space-time, and environmental-society relations, essential for high-level academic manuscripts.