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Add support for Cirq: library for writing, manipulating, and optimizing quantum circuits, and then running them on quantum computers and quantum simulators.
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README.md
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README.md
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# Claude Scientific Skills
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[](LICENSE.md)
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[](#whats-included)
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[](#whats-included)
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A comprehensive collection of **124+ 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.
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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.
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These skills enable Claude to seamlessly work with specialized scientific libraries, databases, and tools across multiple scientific domains:
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- 🧬 Bioinformatics & Genomics - Sequence analysis, single-cell RNA-seq, gene regulatory networks, variant annotation, phylogenetic analysis
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## 📦 What's Included
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This repository provides **124+ scientific skills** organized into the following categories:
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This repository provides **125+ scientific skills** organized into the following categories:
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- **26+ Scientific Databases** - Direct API access to OpenAlex, PubMed, ChEMBL, UniProt, COSMIC, ClinicalTrials.gov, and more
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- **52+ Python Packages** - RDKit, Scanpy, PyTorch Lightning, scikit-learn, BioPython, GeoPandas, and others
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- **Multi-Step Workflows** - Execute complex pipelines with a single prompt
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### 🎯 **Comprehensive Coverage**
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- **124+ Skills** - Extensive coverage across all major scientific domains
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- **125+ Skills** - Extensive coverage across all major scientific domains
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- **26+ Databases** - Direct access to OpenAlex, PubMed, ChEMBL, UniProt, COSMIC, and more
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- **52+ Python Packages** - RDKit, Scanpy, PyTorch Lightning, scikit-learn, GeoPandas, and others
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## 📚 Available Skills
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This repository contains **121+ scientific skills** organized across multiple domains. Each skill provides comprehensive documentation, code examples, and best practices for working with scientific libraries, databases, and tools.
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This repository contains **122+ scientific skills** organized across multiple domains. Each skill provides comprehensive documentation, code examples, and best practices for working with scientific libraries, databases, and tools.
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### Skill Categories
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- Dimensionality reduction: UMAP-learn
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- Statistical modeling: statsmodels
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#### 🔮 **Materials Science & Chemistry** (3 skills)
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#### 🔮 **Materials Science, Chemistry & Physics** (4 skills)
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- Materials: Pymatgen
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- Metabolic modeling: COBRApy
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- Astronomy: Astropy
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- Quantum computing: Cirq
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#### ⚙️ **Engineering & Simulation** (3 skills)
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- Computational fluid dynamics: FluidSim
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