pyopenms
Provides Python bindings for the OpenMS library, enabling mass spectrometry data processing for proteomics and metabolomics. Handles file I/O, feature detection, peptide identification, and quantitative analysis workflows. Includes detailed examples for common tasks like loading mzML files and converting data to pandas DataFrames.
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 k-dense-ai-claude-scientific-skills-pyopenms
Repository
Skill path: scientific-skills/pyopenms
Provides Python bindings for the OpenMS library, enabling mass spectrometry data processing for proteomics and metabolomics. Handles file I/O, feature detection, peptide identification, and quantitative analysis workflows. Includes detailed examples for common tasks like loading mzML files and converting data to pandas DataFrames.
Open repositoryBest for
Primary workflow: Research & Ops.
Technical facets: Full Stack, Data / AI.
Target audience: Research teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: K-Dense-AI.
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/K-Dense-AI/claude-scientific-skills before adding pyopenms to shared team environments
- Use pyopenms for research workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.