Scientific Skills

Scientific research and analysis skills for Claude.

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skill

Data & Database

intermediate

2,391 installs

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Last updated: March 31, 2026

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Quick Start

Install Command

& Setup

**Q: Do I need all the Python packages installed?**  
A: No! Only install the packages you need. Each skill specifies its requirements in its `SKILL.md` file.

**Q: What if a skill doesn't work?**  
A: First check the [Troubleshooting](#troubleshooting) section. If the issue persists, file an issue on GitHub with detailed reproduction steps.

**Q: Do the skills work offline?**  
A: Database skills require internet access to query APIs. Package skills work offline once Python dependencies are installed.

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Claude Scientific Skills

💼 For substantially more advanced capabilities, compute infrastructure, and enterprise-ready offerings, check out k-dense.ai.

A comprehensive collection of 125+ 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, precision therapeutics
🧠 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
🧪 Laboratory Automation - Liquid handling protocols, lab equipment control, workflow automation, LIMS integration
📚 Scientific Communication - Literature review, peer review, scientific writing, document processing, publication workflows
🔬 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

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 125+ scientific skills organized into the following categories:

26+ Scientific Databases - Direct API access to OpenAlex, PubMed, ChEMBL, UniProt, COSMIC, ClinicalTrials.gov, and more
54+ Python Packages - RDKit, Scanpy, PyTorch Lightning, scikit-learn, BioPython, PennyLane, Qiskit, and others
15+ Scientific Integrations - Benchling, DNAnexus, LatchBio, OMERO, Protocols.io, and more
20+ Analysis & Communication Tools - Literature review, scientific writing, peer review, document processing

Each skill includes:

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

🚀 Why Use This?

⚡ Accelerate Your Research

Save Days of Work - Skip API documentation research and integration setup
Production-Ready Code - Tested, validated examples following scientific best practices
Multi-Step Workflows - Execute complex pipelines with a single prompt

🎯 Comprehensive Coverage

125+ Skills - Extensive coverage across all major scientific domains
26+ Databases - Direct access to OpenAlex, PubMed, ChEMBL, UniProt, COSMIC, and more
54+ Python Packages - RDKit, Scanpy, PyTorch Lightning, scikit-learn, PennyLane, Qiskit, and others

Scientific Skills

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Quick Start

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Claude Scientific Skills

📦 What's Included

📋 Table of Contents

🚀 Why Use This?

⚡ Accelerate Your Research

🎯 Comprehensive Coverage

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