Agent skill · Databases

metabolomics-workbench-database

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.

LeonChaoXgithub.com/LeonChaoXGitHub ↗
claude-codeMIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill metabolomics-workbench-database --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/12-科学数据库/metabolomics-workbench-database/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 759
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Metabolomics Workbench Database ## Overview The Metabolomics Workbench is a comprehensive NIH Common Fund-sponsored platform hosted at UCSD that serves as the primary repository for metabolomics research data. It provides programmatic access to over 4,200 processed studies (3,790+ publicly available), standardized metabolite nomenclature through RefMet, and powerful search capabilities across multiple analytical platforms (GC-MS, LC-MS, NMR). ## When to Use This Skill This skill should be used when querying metabolite structures, accessing study data, standardizing nomenclature, performing mass spectrometry searches, or retrieving gene/protein-metabolite associations through the Metabolomics Workbench REST API. ## Core Capabilities ### 1. Querying Metabolite Structures and Data Access comprehensive metabolite information including structures, identifiers, and cross-references to external databases. **Key operations:** - Retrieve compound data by various identifiers (PubChem CID, InChI Key, KEGG ID, HMDB ID, etc.) - Download molecular structures as MOL files or PNG images - Access standardized compound classifications - Cross-reference between different metabolite databases **Exam

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Core Capabilities
  4. 1. Querying Metabolite Structures and Data
  5. 2. Accessing Study Metadata and Experimental Results
  6. 3. Standardizing Metabolite Nomenclature with RefMet
  7. 4. Performing Mass Spectrometry Searches
  8. 5. Filtering Studies by Analytical and Biological Parameters
  9. 6. Accessing Gene and Protein Information
  10. Common Workflows
  11. Workflow 1: Finding Studies for a Specific Metabolite
  12. Workflow 2: Identifying Compounds from MS Data
  13. Workflow 3: Exploring Disease-Specific Metabolomics
  14. Output Formats
Ships with 1 file
  • references/api_reference.md
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About this skill
What does the metabolomics-workbench-database skill do?

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.

How do I install it?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill metabolomics-workbench-database --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going