Agent skill · Data & Analytics

bio-proteomics-data-import

Load and parse mass spectrometry data formats including mzML, mzXML, and quantification tool outputs like MaxQuant proteinGroups.txt. Use when starting a proteomics analysis with raw or processed MS data. Handles contaminant filtering and missing value assessment.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-proteomics-data-import --agent claude-code

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

Facts
Files in the skill folder: 3
SKILL.md size: 5 KB
Bundled scripts: yes
Path: skills/bio-proteomics-data-import/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: MSnbase 2.28+, pandas 2.2+ 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. # Mass Spectrometry Data Import **"Load my mass spec data into Python"** → Parse mzML/mzXML raw files or MaxQuant proteinGroups.txt into data structures for programmatic access and downstream analysis. - Python: `pyopenms.MzMLFile().load()` for raw spectra, `pandas.read_csv()` for search engine outputs - R: `MSnbase::readMSData()` for raw, `read.delim()` for MaxQuant/Proteome Discoverer ## Loading mzML/mzXML Files with pyOpenMS **Goal:** Parse raw mass spectrometry data files into memory for programmatic access. **Approach:** Load mzML/mzXML into an MSExperiment object, then iterate spectra by MS level to access peaks and precursor info. ```python from pyopenms import MSExperiment, MzMLFile, MzXMLFile exp = MSExp

What's inside
Steps it walks through
  1. Version Compatibility
  2. Loading mzML/mzXML Files with pyOpenMS
  3. Loading MaxQuant Output
  4. Loading Spectronaut/DIA-NN Output
  5. R: Loading with MSnbase
  6. Missing Value Assessment
  7. Related Skills
Ships with 2 files
  • examples/load_maxquant.py
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-proteomics-data-import skill do?

Load and parse mass spectrometry data formats including mzML, mzXML, and quantification tool outputs like MaxQuant proteinGroups.txt. Use when starting a proteomics analysis with raw or processed MS data. Handles contaminant filtering and missing value assessment.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-proteomics-data-import --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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