metabolomics-workbench-database

Quick Review

Excellent skill for metabolomics research. The description clearly conveys the skill's purpose (accessing NIH Metabolomics Workbench with 4,200+ studies). SKILL.md provides comprehensive coverage with 6 well-documented core capabilities, practical Python code examples, and 3 realistic workflows. The structure is logical with an overview, capability sections, workflows, and best practices. References to api_reference.md for detailed specifications keep the main file focused. This is a highly novel skill - querying specialized metabolomics databases with proper nomenclature standardization (RefMet), m/z searches with adduct specifications, and multi-parameter filtering would require substantial domain knowledge and many tokens for a CLI agent to accomplish independently. Minor improvement possible: slightly more explicit guidance on error handling and rate limits. Overall, this is a well-designed, domain-specific skill that meaningfully reduces complexity for metabolomics researchers.