概要
The Medchem skill provides a robust toolkit for drug discovery workflows, enabling developers and researchers to triage large chemical libraries using established drug-likeness rules like Lipinski's Rule of Five, Veber, and CNS criteria. It automates the detection of problematic structural patterns through PAINS filters, NIBR alerts, and Lilly Demerits, while also calculating molecular complexity metrics for synthetic accessibility. By integrating these specialized filters into Claude Code, users can efficiently assess compound quality, identify reactive functional groups, and ensure chemical candidates meet specific lead-optimization criteria.