Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. Best for proteomics, comprehensive MS data processing. For simple spectral comparison and metabolite ID use matchms.
8.3
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Data & Analytics
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Excellent mass spectrometry skill with comprehensive coverage of proteomics and metabolomics workflows. The description clearly articulates when to use pyopenms vs simpler alternatives (matchms). SKILL.md provides a well-organized overview with concrete code examples for each capability domain, while appropriately deferring detailed workflows to reference files. Task knowledge is thorough, covering file I/O, signal processing, feature detection, identification, and metabolomics with working code snippets. Structure is exemplary - concise main document with logical sectioning and clear references to detailed documentation. Novelty is strong: mass spectrometry analysis involves complex multi-step pipelines with specialized algorithms that would be extremely token-intensive for a CLI agent to implement from scratch. The skill meaningfully reduces complexity for proteomics researchers. Minor deduction on novelty only because some basic file loading operations could be done by a capable agent, though the comprehensive workflow integration provides substantial value.
K-Dense-AI
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