metabolomics
Workflow for untargeted or targeted metabolomics including preprocessing, normalization, annotation, statistics, and pathway mapping.
npx skills add BioTender-max/awesome-bio-agent-skills --skill metabolomics --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Metabolomics ## Version Compatibility Reference examples assume recent stable releases of the preferred tools, especially `MS-DIAL/XCMS` and the other tools listed below. Before using code or command patterns, verify installed versions match the environment: - Python: `python -c "import <module>; print(<module>.__version__)"` - CLI: `<tool> --version` - If signatures differ, inspect the installed help or API and adapt the pattern instead of retrying unchanged. ## Overview Workflow for untargeted or targeted metabolomics including preprocessing, normalization, annotation, statistics, and pathway mapping. ## When To Use This Skill - use when the task is LC-MS or GC-MS metabolomics - use when the user needs feature tables, annotation, differential analysis, or pathway mapping - use when targeted and untargeted workflows must be kept conceptually separate ## Quick Route - If the input is raw or minimally processed data, start with validation and QC before any modeling. - If the input is already processed, skip directly to the first workflow step that matches the user goal. - If the user asks for a biological conclusion, always produce at least one QC or confidence artifact alongside
- Version Compatibility
- Overview
- When To Use This Skill
- Quick Route
- Progressive Disclosure
- Default Rules
- Expected Inputs
- Expected Outputs
- Preferred Tools
- Starter Pattern
- Workflow
- 1. Choose targeted or untargeted path
- 2. Preprocess raw signals
- 3. Normalize and annotate
What does the metabolomics skill do?
Workflow for untargeted or targeted metabolomics including preprocessing, normalization, annotation, statistics, and pathway mapping.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill metabolomics --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 BioTender-max/awesome-bio-agent-skills, a repository with 135 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.