chess-best-move

The Skill analyzes chess board images by calibrating colors, detecting pieces square-by-square, validating the legal position, and using Stockfish to verify the optimal move or forced mate sequence.

Yes, the Skill handles phone photos of physical tournament boards by performing image calibration to sample RGB signatures, reliably distinguishing pieces from squares across varied lighting and board styles.

The Skill validates detected positions by enforcing piece count rules, ensuring exactly one king per side, flagging invalid detections, and loading the validated FEN into a chess library before engine analysis.

Yes, Stockfish and python-chess are required dependencies. They load validated positions, verify candidate move legality, and confirm mate sequences during engine-backed move analysis.

The Skill flags invalid detections before analysis by enforcing piece count rules and ensuring exactly one king per side, preventing guesswork when detection is uncertain.

Yes, the Skill works with digital chessboard screenshots for tactical puzzles by detecting occupancy square-by-square, validating the position, and returning the best legal move in algebraic or UCI notation with engine verification.