What problem does it solve? Researching a drug requires manually querying dozens of disconnected databases—PubChem for chemistry, ChEMBL for targets, ClinicalTrials.gov for trials, FAERS for adverse events, PharmGKB for pharmacogenomics—and synthesizing findings into a coherent, cited report. This Skill automates that entire workflow into a structured 11-section drug research report. ## Core Features & Use Cases - Compound Disambiguation: Resolves drug names to PubChem CIDs, ChEMBL IDs, SMILES, and PharmGKB identifiers before research begins, handling salt forms, isomers, and prodrugs. - Multi-Source Evidence Gathering: Queries 50+ ToolUniverse tools across chemistry, ADMET predictions, clinical trials, FAERS post-marketing safety, FDA Orange Book regulatory data, and pharmacogenomics, with automatic fallback chains when APIs fail. - Evidence-Graded Reporting: Produces a standardized report with inline citations, T1-T4 evidence grading, a drug profile scorecard, and a completeness audit documenting data gaps and tool failures. - Use Case: Ask about metformin and receive a full report covering its mechanism (AMPK activation), ADMET profile, 500+ clinical trials, FAERS safety signals, SLC22A1 pharmacogenomics, and regulatory status—with every claim cited to its source database. ## Quick Start Generate a comprehensive drug research report for metformin covering its chemistry, mechanism, clinical trials, and safety profile.