ARC-AGI Merge & Pattern Recognition

概要

This skill provides a comprehensive framework for tackling complex tasks that intersect version control and advanced pattern recognition. It guides users through the technical nuances of extracting and merging git branches from bundles while resolving algorithm-specific conflicts without losing key insights. Beyond git operations, it offers a structured methodology for analyzing input/output grid transformations, identifying common ARC-AGI patterns like tiling or modular arithmetic, and implementing robust Python algorithms that generalize effectively to unseen test cases while explicitly handling edge cases.

主な機能

• Generalization confidence assessments to evaluate solution reliability
• Reusable testing strategies for verifying solutions against example datasets
• Systematic pattern analysis framework for grid-based transformations
• Generalization-focused algorithm development with explicit edge case handling
• Structured git branch extraction and conflict resolution workflows
• 16 GitHub stars

ユースケース

• Merging multiple experimental implementations of grid-based logic into a single solution
• Resolving complex git merge conflicts between divergent algorithmic approaches
• Solving ARC-AGI style pattern recognition challenges requiring high levels of generalization