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This skill provides a rigorous framework for interpreting chess positions from images, moving beyond simple pattern matching to deliver precise move calculations. It guides users through the process of detecting the 8x8 grid, identifying piece colors and types, and generating validated FEN notations for deep analysis with libraries like python-chess or engines like Stockfish. By emphasizing systematic validation—including piece-count checks and visual verification—this skill helps avoid common pitfalls in computer vision tasks, making it highly effective for solving complex puzzles or analyzing competitive positions directly from screenshots.