An expert system designed to handle complex context management within AI workflows through the C = A(c₁-c₆) framework. It enables users to classify, create, and validate context files systematically, ensuring high-quality inputs for Claude through rigorous analysis of relevance, completeness, consistency, and efficiency. Whether you are building a new knowledge base from scratch or auditing existing documentation for contradictions, this skill provides a structured approach to context engineering with built-in quality grading, semantic versioning, and automated discrepancy detection.
Key Features
01Contradiction and discrepancy detection across context portfolios
02Automated classification of content into standardized components (c₁-c₆)
03Semantic versioning for evolutionary context maintenance
04Multi-dimensional quality analysis using the α-β-γ-δ framework
050 GitHub stars
06Structured reporting via standardized quality and discrepancy templates
