What problem does it solve? Yu-Gi-Oh! deck building and card analysis require cross-referencing card databases, ban lists, tournament results, and combo scripts, which is slow and error-prone when done manually. This Skill provides a structured knowledge tree that guides AI-assisted card research, deck construction, comparison, and validation. ## Core Features & Use Cases - Card Research and Design: Query the cards.cdb database by name, setcode, or type bitmask, read YGOPro Lua scripts, and design custom cards with power-level calibration against existing cards. - Deck Building Workflow: Follow a 5-step process covering deck type classification, core card identification via ydkshow consensus statistics, main/extra deck ratio rules, and quantitative verification with ydkcheck.py. - Comparison and Self-Evolution: Calculate match rates against reference decklists, analyze per-card differences, and run self-evaluation loops that update skill files when validation fails. - Use Case: Ask the AI to build a competitive Labrynth deck; it gathers local YDK references and online top-cut lists, extracts core cards by consensus mean, assembles a 40-card main and 15-card extra deck, then verifies ban-list compliance and start rates with ydkcheck.py. ## Quick Start Use the ygo game knowledge skill to research the Sky Striker archetype and build a tournament-legal deck list verified with ydkcheck.py.
