pyopenms
PyOpenMS provides Python bindings to OpenMS for mass spectrometry data analysis. It handles LC-MS/MS proteomics and metabolomics workflows including file I/O for formats like mzML and mzXML, signal processing, feature detection, peptide identification, and quantitative analysis. The documentation includes clear examples for common tasks.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install microck-ordinary-claude-skills-pyopenms
Repository
Skill path: skills_categorized/lab-tools/pyopenms
PyOpenMS provides Python bindings to OpenMS for mass spectrometry data analysis. It handles LC-MS/MS proteomics and metabolomics workflows including file I/O for formats like mzML and mzXML, signal processing, feature detection, peptide identification, and quantitative analysis. The documentation includes clear examples for common tasks.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: Data teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Microck.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install pyopenms into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Microck/ordinary-claude-skills before adding pyopenms to shared team environments
- Use pyopenms for data workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.