scientific-skills

Claude Scientific Skills (Curated Fork)

A curated fork of K-Dense's Claude Scientific Skills repository for the open Agent Skills standard. This fork keeps a focused set of 32 skills for literature review, database and web search, single-cell analysis, scientific writing, visualization, document processing, and precision-medicine knowledge graph lookup across Cursor, Claude Code, Codex, and more.

Some retained folders, including scientific-skills/docx, scientific-skills/pdf, scientific-skills/pptx, and scientific-skills/xlsx, include their own folder-specific licenses that still apply.

The demo above shows K-Dense Web, the hosted platform built on top of these skills. Claude Scientific Skills is the open-source skill collection; K-Dense Web is the full AI co-scientist platform with more power and zero setup.

These skills enable your AI agent to seamlessly work with specialized scientific libraries, databases, and tools across multiple scientific domains. While the agent can use any Python package or API on its own, these explicitly defined skills provide curated documentation and examples that make it significantly stronger and more reliable for the workflows below:

• Bioinformatics & Genomics - Sequence analysis, single-cell RNA-seq, gene regulatory networks, variant annotation, phylogenetic analysis
• Cheminformatics & Drug Discovery - Molecular property prediction, virtual screening, ADMET analysis, molecular docking, lead optimization
• Proteomics & Mass Spectrometry - LC-MS/MS processing, peptide identification, spectral matching, protein quantification
• Clinical Research & Precision Medicine - Clinical trials, pharmacogenomics, variant interpretation, drug safety, clinical decision support, treatment planning
• Healthcare AI & Clinical ML - EHR analysis, physiological signal processing, medical imaging, clinical prediction models
• Medical Imaging & Digital Pathology - DICOM processing, whole slide image analysis, computational pathology, radiology workflows
• Machine Learning & AI - Deep learning, reinforcement learning, time series analysis, model interpretability, Bayesian methods
• Materials Science & Chemistry - Crystal structure analysis, phase diagrams, metabolic modeling, computational chemistry
• Physics & Astronomy - Astronomical data analysis, coordinate transformations, cosmological calculations, symbolic mathematics, physics computations
• Engineering & Simulation - Discrete-event simulation, multi-objective optimization, metabolic engineering, systems modeling, process optimization
• Data Analysis & Visualization - Statistical analysis, network analysis, time series, publication-quality figures, large-scale data processing, EDA
• Geospatial Science & Remote Sensing - Satellite imagery processing, GIS analysis, spatial statistics, terrain analysis, machine learning for Earth observation
• Laboratory Automation - Liquid handling protocols, lab equipment control, workflow automation, LIMS integration
• Scientific Communication - Literature review, peer review, scientific writing, document processing, posters, slides, schematics, citation management
• Multi-omics & Systems Biology - Multi-modal data integration, pathway analysis, network biology, systems-level insights
• Protein Engineering & Design - Protein language models, structure prediction, sequence design, function annotation
• Research Methodology - Hypothesis generation, scientific brainstorming, critical thinking, grant writing, scholar evaluation

Transform your AI coding agent into an 'AI Scientist' on your desktop!

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