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pyopenms

13,835 stars 1,200 forks Updated Dec 26, 2025
66.7

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.

Commands Marketplace
#feature#feature detection#identification#Protein Identification#format
Also in: python github database

Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security

skilz install davila7_claude-code-templates/pyopenms
skilz install davila7_claude-code-templates/pyopenms --agent opencode
skilz install davila7_claude-code-templates/pyopenms --agent codex
skilz install davila7_claude-code-templates/pyopenms --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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Download Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/davila7/claude-code-templates
2. Copy the skill directory:
cp -r claude-code-templates/cli-tool/components/skills/scientific/pyopenms ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Details

Owner
davila7
Stars
13,835
Forks
1,200
Type
Technical
Meta-Domain
data ai
Primary Domain
data analysis
Sub-Domain
analysis research skill
Skill Size
68.6 KB
Files
7
Quality Score
66.7

AI-Detected Topics

Extracted using NLP analysis

feature feature detection identification Protein Identification format

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