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Claude Scientific Skills

💼 For substantially more advanced capabilities including end-to-end research workflows built on top of Claude Scientific Skills, compute infrastructure, and publication quality outputs, check out k-dense.ai and sign up for K-Dense Web. One of the world's most advanced AI co-scientists. It's free to get started!

A comprehensive collection of 138 ready-to-use scientific skills for Claude, created by the K-Dense team. Transform Claude into your AI research assistant capable of executing complex multi-step scientific workflows across biology, chemistry, medicine, and beyond.

These skills enable Claude to seamlessly work with specialized scientific libraries, databases, and tools across multiple scientific domains:

🧬 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

🧪 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 Claude Code into an 'AI Scientist' on your desktop!

⭐ If you find this repository useful, please consider giving it a star! It helps others discover these tools and encourages us to continue maintaining and expanding this collection.

📦 What's Included

This repository provides 138 scientific skills organized into the following categories:

28+ Scientific Databases - Direct API access to OpenAlex, PubMed, bioRxiv, ChEMBL, UniProt, COSMIC, ClinicalTrials.gov, and more

55+ Python Packages - RDKit, Scanpy, PyTorch Lightning, scikit-learn, BioPython, BioServices, PennyLane, Qiskit, and others

15+ Scientific Integrations - Benchling, DNAnexus, LatchBio, OMERO, Protocols.io, and more

30+ Analysis & Communication Tools - Literature review, scientific writing, peer review, document processing, posters, slides, schematics, and more

10+ Research & Clinical Tools - Hypothesis generation, grant writing, clinical decision support, treatment plans, regulatory compliance

Each skill includes:

✅ Comprehensive documentation (SKILL.md)

✅ Practical code examples

✅ Use cases and best practices

✅ Integration guides

✅ Reference materials

📋 Table of Contents

🚀 Why Use This?

Claude Scientific Skills

💼 For substantially more advanced capabilities including end-to-end research workflows built on top of Claude Scientific Skills, compute infrastructure, and publication quality outputs, check out k-dense.ai and sign up for K-Dense Web. One of the world's most advanced AI co-scientists. It's free to get started!

These skills enable Claude to seamlessly work with specialized scientific libraries, databases, and tools across multiple scientific domains:

🧬 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
🧪 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 Claude Code into an 'AI Scientist' on your desktop!

⭐ If you find this repository useful, please consider giving it a star! It helps others discover these tools and encourages us to continue maintaining and expanding this collection.

📦 What's Included

This repository provides 138 scientific skills organized into the following categories:

28+ Scientific Databases - Direct API access to OpenAlex, PubMed, bioRxiv, ChEMBL, UniProt, COSMIC, ClinicalTrials.gov, and more
55+ Python Packages - RDKit, Scanpy, PyTorch Lightning, scikit-learn, BioPython, BioServices, PennyLane, Qiskit, and others
15+ Scientific Integrations - Benchling, DNAnexus, LatchBio, OMERO, Protocols.io, and more
30+ Analysis & Communication Tools - Literature review, scientific writing, peer review, document processing, posters, slides, schematics, and more
10+ Research & Clinical Tools - Hypothesis generation, grant writing, clinical decision support, treatment plans, regulatory compliance

Each skill includes:

✅ Comprehensive documentation (SKILL.md)
✅ Practical code examples
✅ Use cases and best practices
✅ Integration guides
✅ Reference materials

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What's Inside

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README

Claude Scientific Skills

📦 What's Included

📋 Table of Contents

🚀 Why Use This?

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