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metabolomics-workbench-database

7.7

by K-Dense-AI

200Favorites
300Upvotes
0Downvotes

Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.

metabolomics

7.7

Rating

0

Installs

Data & Analytics

Category

Quick Review

Excellent skill for accessing the NIH Metabolomics Workbench database. The description is comprehensive and provides clear guidance on when and how to invoke each API capability. Task knowledge is strong with detailed Python examples for all 6 core capabilities, plus common workflows that chain multiple operations together. The structure is well-organized with a clean overview, capability sections, workflows, and references to detailed API documentation. The skill demonstrates good novelty by providing a unified interface to a specialized scientific database that would be tedious to query manually, though the underlying API is relatively straightforward REST calls. Minor points: some capabilities (gene/protein queries) feel slightly tangential to core metabolomics tasks, and the structure could be more concise in places, but overall this is a high-quality, immediately actionable skill for metabolomics research.

LLM Signals

Description coverage9
Task knowledge9
Structure8
Novelty7

GitHub Signals

6,871
818
49
3
Last commit 1 days ago

Publisher

K-Dense-AI

K-Dense-AI

Skill Author

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