Agent skill

bio-metabolomics-lipidomics

Specialized lipidomics analysis for lipid identification, quantification, and pathway interpretation. Covers LC-MS lipidomics with LipidSearch, MS-DIAL, and LipidMaps annotation. Use when analyzing lipid classes, chain composition, or lipid-specific pathways.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-code
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-metabolomics-lipidomics --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/bio-metabolomics-lipidomics/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

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

From the SKILL.md

## Version Compatibility Reference examples tested with: ggplot2 3.5+, numpy 1.26+, pandas 2.2+, scanpy 1.10+, xcms 4.0+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures - R: `packageVersion('<pkg>')` then `?function_name` to verify parameters If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Lipidomics Analysis **"Analyze my lipidomics data"** → Identify and quantify lipid species by class and chain composition, then perform differential lipid analysis and pathway interpretation. - R: `lipidr::as_lipidomics_experiment()`, `de_analysis()` - CLI: MS-DIAL or LipidSearch for lipid identification ## R Workflow with lipidr ```r library(lipidr) library(ggplot2) # Load lipidomics data (LipidSearch or Skyline format) lipid_data <- read_lipidomes('lipidsearch_export.csv', data_type = 'LipidSearch') # Or from generic matrix lipid_data <- as_lipidomics_experiment( data = intensity_matrix, sample_info = sample_metadata, lipid_info = lipid_annotations ) # Data summary print(l

What's inside
Steps it walks through
  1. Version Compatibility
  2. R Workflow with lipidr
  3. Lipid Annotation
  4. Normalization
  5. Differential Analysis
  6. Enrichment Analysis
  7. Python Workflow with LipidFinder
  8. MS-DIAL Lipidomics
  9. Lipid Class Visualization
  10. Pathway Mapping
  11. Saturation Analysis
  12. Export Results
  13. Related Skills
Ships with 2 files
  • examples/lipidomics_workflow.R
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-metabolomics-lipidomics skill do?

Specialized lipidomics analysis for lipid identification, quantification, and pathway interpretation. Covers LC-MS lipidomics with LipidSearch, MS-DIAL, and LipidMaps annotation. Use when analyzing lipid classes, chain composition, or lipid-specific pathways.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-metabolomics-lipidomics --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 FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 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.

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