Claude Scientific Skills Collection

A comprehensive collection of 128+ ready-to-use scientific skills that transforms Claude into an AI research assistant capable of executing complex multi-step scientific workflows.

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, cosmological calculations, symbolic mathematics, physics computations

⚙️ Engineering & Simulation

Discrete-event simulation, optimization, metabolic engineering, systems modeling

Included Skill Categories

• 26+ Scientific Databases - OpenAlex, PubMed, ChEMBL, UniProt, COSMIC, ClinicalTrials.gov

• 54+ Python Packages - RDKit, Scanpy, PyTorch, scikit-learn, BioPython, PennyLane, Qiskit

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

• 20+ Analysis & Communication Tools - Literature review, scientific writing, peer review

Getting Started

Each skill within this collection includes:

• Comprehensive documentation (SKILL.md)

• Practical code examples

• Use cases and best practices

• Integration guides

• Reference materials

Explore the scientific-skills/ subdirectory for individual skill implementations and detailed documentation.