skills/claude-scientific-skills
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Add support for fluidsim for computational fluid dynamics

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2025-11-13 19:46:29 -08:00
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# Claude Scientific Skills
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE.md)
[![Skills](https://img.shields.io/badge/Skills-117-brightgreen.svg)](#whats-included)
[![Skills](https://img.shields.io/badge/Skills-118-brightgreen.svg)](#whats-included)
A comprehensive collection of **117+ 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.
A comprehensive collection of **118+ 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
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## 📦 What's Included
This repository provides **117+ scientific skills** organized into the following categories:
This repository provides **118+ scientific skills** organized into the following categories:
- **25+ Scientific Databases** - Direct API access to PubMed, ChEMBL, UniProt, COSMIC, ClinicalTrials.gov, and more
- **50+ Python Packages** - RDKit, Scanpy, PyTorch Lightning, scikit-learn, BioPython, and others
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## 📚 Available Skills
This repository contains **117+ scientific skills** organized across multiple domains. Each skill provides comprehensive documentation, code examples, and best practices for working with scientific libraries, databases, and tools.
This repository contains **118+ scientific skills** organized across multiple domains. Each skill provides comprehensive documentation, code examples, and best practices for working with scientific libraries, databases, and tools.
### Skill Categories
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- Metabolic modeling: COBRApy
- Astronomy: Astropy
#### ⚙️ **Engineering & Simulation** (2 skills)
#### ⚙️ **Engineering & Simulation** (3 skills)
- Computational fluid dynamics: FluidSim
- Discrete-event simulation: SimPy
- Data processing: Dask, Polars, Vaex