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    "summary_en": "Complete mass spectrometry analysis platform. Use for proteomics and metabolomics workflows—feature detection, peptide/protein identification, label-free and isobaric quantification, adduct/accurate-mass annotation, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. For simple spectral comparison and small-molecule library matching use matchms.",
    "summary_zh": "完整的质谱分析平台。用于蛋白质组学和代谢组学工作流程——特征检测、肽段/蛋白质鉴定、无标记和等压定量、加合物/精确质量注释以及复杂的LC-MS/MS流程。支持多种文件格式和算法。对于简单的谱图比较和小分子库匹配，请使用matchms。",
    "description_en": "PyOpenMS provides Python bindings to the OpenMS library for computational mass spectrometry, enabling analysis of proteomics and metabolomics data. The skill includes ready-to-run scripts for inspecting and converting MS data, processing spectra, detecting features, aligning and quantifying across samples, annotating adducts and accurate masses, processing identifications, performing chemistry calculations (mass, digestion, theoretical spectra), extracting chromatograms, and plotting MS data. It supports extensive file formats and algorithms. The skill requires Python 3.9+ and uv, and targets pyOpenMS 3.5.0. The source is a SKILL.md file from the K-Dense-AI/scientific-agent-skills repository, licensed under MIT (as declared in the submitted record).",
    "description_zh": "PyOpenMS提供OpenMS库的Python绑定，用于计算质谱分析，支持蛋白质组学和代谢组学数据分析。该技能包含现成的脚本，用于检查和转换质谱数据、处理谱图、检测特征、跨样本对齐和定量、注释加合物和精确质量、处理鉴定结果、执行化学计算（质量、消化、理论谱）、提取色谱图以及绘制质谱数据。支持多种文件格式和算法。该技能需要Python 3.9+和uv，并针对pyOpenMS 3.5.0。来源是K-Dense-AI/scientific-agent-skills仓库中的SKILL.md文件，根据提交记录声明为MIT许可。",
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