Theoretical Framework: The Hierarchical Skill-Tree

The logic used by the TGIX algorithm to rank and categorize player ability.

This document outlines the 'Altered Brilliance Taxonomy'—the logical foundation of our AI's ranking system. Unlike traditional Elo systems that only look at win/loss, our framework uses a hierarchical tree of 'Skill-Atoms.' This includes low-level atoms (like click-timing) and high-level atoms (like rotation-efficiency). We provide the full documentation on how these atoms are weighted and how the AI calculates your 'Brilliance Quotient' (BQ). This is essential reading for competitive players who want to understand the 'Black Box' of modern performance analytics and how they can 'game' the system by focusing on the highest-weighted skill-atoms first.

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