Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.
8.1
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Data & Analytics
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Excellent skill for mass spectrometry data analysis with comprehensive coverage of PyOpenMS capabilities. The description clearly communicates when to invoke the skill (LC-MS/MS proteomics, metabolomics, file handling, feature detection). SKILL.md provides well-organized overview with installation, core capabilities, data structures, and common workflows. Code examples are practical and actionable. Structure is exemplary: concise main document with detailed references properly delegated to separate files. The skill addresses a specialized domain where CLI agents would struggle significantly with complex workflows, multiple file formats, and domain-specific algorithms. Minor improvement possible: could slightly expand the description to mention specific use cases like 'convert mzML files' or 'perform feature detection' for even clearer invocation triggers, but current description is already strong and functional.
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