Analyze chess positions and games with multi-engine evaluation and visualizations.
npx skills add https://github.com/jalpp/chessagine.skill --skill chessagine
Please help me install this Agent Skill. Skill: chessagine Source: https://github.com/jalpp/chessagine.skill/tree/main Command: npx skills add https://github.com/jalpp/chessagine.skill --skill chessagine
The ChessAgine Skill delivers integrated, multi-engine chess analysis and educational guidance, combining position evaluation, game reviews, and opening prep to accelerate learning and improvement.
Analyze a position or game by providing a FEN, PGN, or URL to see a visual board and engine-driven insights.
High-intent search queries and answers about installing and using this skill.
To analyze a chess position, provide a FEN, PGN, or URL to generate a visual board and engine-driven insights. The multi-engine analysis evaluates moves objectively using Stockfish and Leela while offering human-style explanations.
Chess opening preparation is enhanced by referencing master-game databases and applying multi-engine evaluation. This approach validates theoretical moves using Stockfish and Leela, providing visualizations and context for opening variations.
Yes, you can review games from Lichess or Chessboard Magic by supplying the game URL or PGN. The analysis uses progressive depth and engine selection across Stockfish, Leela, and Maia2 to provide comprehensive game reviews.
Multi-engine chess analysis supports puzzle training by applying objective and human-style evaluations to tactical positions. Engines like Maia2 provide human-style insights, making it effective for solving and understanding tactical puzzles.
Multi-engine chess analysis ensures correct engine selection by assigning Stockfish, Elite Leela, Leela, or Maia2 based on the evaluation context. This guarantees accurate objective evaluations alongside human-style move insights.
While multi-engine analysis provides visual boards and progressive depth, limitations include potential variations in engine evaluations depending on the selected engine. Robust error handling and multi-source validation mitigate context priority and visualization issues.
pilipolioAnalyze chess positions from FEN strings with Stockfish evaluations and SAN notation.
jayll1303Train and export Ultralytics YOLO models for detection and tracking.
lazyFrogLOLDetect chess pieces from board images and compute best moves with Stockfish.
DammianMillerAnalyze chess positions and determine optimal moves with Stockfish.
