Microck

claude-scientific-skills

@Microck/claude-scientific-skills
Microck
102
9 forks
Updated 1/18/2026
View on GitHub

Comprehensive collection of 128+ ready-to-use scientific skills for Claude enabling research across biology, chemistry, medicine, genomics, and advanced analysis domains.

Installation

$skills install @Microck/claude-scientific-skills
Claude Code
Cursor
Copilot
Codex
Antigravity

Details

Pathskills_all/claude-scientific-skills/SKILL.md
Branchmain
Scoped Name@Microck/claude-scientific-skills

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


name: claude-scientific-skills description: Comprehensive collection of 128+ ready-to-use scientific skills for Claude enabling research across biology, chemistry, medicine, genomics, and advanced analysis domains.

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

๐Ÿงฌ Bioinformatics & Genomics

Sequence analysis, single-cell RNA-seq, gene regulatory networks, variant annotation, phylogenetic analysis

๐Ÿงช Cheminformatics & Drug Discovery

Molecular property prediction, virtual screening, ADMET analysis, molecular docking, lead optimization

๐Ÿ”ฌ Proteomics & Mass Spectrometry

LC-MS/MS processing, peptide identification, spectral matching, protein quantification

๐Ÿฅ Clinical Research & Precision Medicine

Clinical trials, pharmacogenomics, variant interpretation, drug safety, precision therapeutics

๐Ÿง  Healthcare AI & Clinical ML

EHR analysis, physiological signal processing, medical imaging, clinical prediction models

๐Ÿ–ผ๏ธ Medical Imaging & Digital Pathology

DICOM processing, whole slide image analysis, computational pathology, radiology workflows

๐Ÿค– Machine Learning & AI

Deep learning, reinforcement learning, time series analysis, model interpretability, Bayesian methods

๐Ÿ”ฎ Materials Science & Chemistry

Crystal structure analysis, phase diagrams, metabolic modeling, computational chemistry

๐ŸŒŒ Physics & Astronomy

Astronomical data analysis, cosmological calculations, symbolic mathematics, physics computations

โš™๏ธ 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.