Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.
8.7
Rating
0
Installs
Data & Analytics
Category
Exceptional pharmaceutical data skill with comprehensive coverage of DrugBank capabilities. The description perfectly captures when to use the skill (drug discovery, pharmacology, interactions, etc.). Structure is exemplary: SKILL.md provides clear overview with 5 core capabilities, typical workflows, and references detailed implementations in modular files. Task knowledge appears thorough with specific methods, workflows, and code examples referenced across data-access, drug-queries, interactions, targets-pathways, and chemical-analysis modules. Novelty is strong - integrating DrugBank's complex XML data, performing chemical similarity analysis, DDI network analysis, and ADMET predictions would require significant effort and tokens for a CLI agent alone. Minor point: while highly valuable, some components (basic drug queries, simple property extraction) are moderately standard bioinformatics tasks, preventing a perfect novelty score. Overall, this is a well-architected, production-ready skill that meaningfully reduces complexity for pharmaceutical research tasks.
davila7
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