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Add SimPy a process-based discrete-event simulation framework
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README.md
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README.md
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[](LICENSE.md)
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[](https://github.com/K-Dense-AI/claude-scientific-skills)
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[](#what-s-included)
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[](#what-s-included)
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[](#what-s-included)
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A comprehensive collection of ready-to-use scientific skills for Claude, curated by the K-Dense team.
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| Category | Count | Description |
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|----------|-------|-------------|
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| 📊 **Scientific Databases** | 25 | PubMed, PubChem, UniProt, ChEMBL, COSMIC, AlphaFold DB, bioRxiv, and more |
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| 🔬 **Scientific Packages** | 46 | BioPython, RDKit, PyTorch, Scanpy, scvi-tools, ESM, and specialized tools |
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| 🔬 **Scientific Packages** | 47 | BioPython, RDKit, PyTorch, Scanpy, scvi-tools, ESM, SimPy, and specialized tools |
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| 🔌 **Scientific Integrations** | 6 | Benchling, DNAnexus, Opentrons, LabArchives, LatchBio, OMERO |
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| 🛠️ **Scientific Helpers** | 2 | Context initialization and resource detection utilities |
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| 📚 **Documented Workflows** | 122 | Ready-to-use examples and reference materials |
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---
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### 🔬 Scientific Packages
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**44 specialized Python packages** organized by domain.
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**46 specialized Python packages** organized by domain.
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📖 **[Full Package Documentation →](docs/scientific-packages.md)**
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</details>
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<details>
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<summary><strong>Data Analysis & Visualization (5 packages)</strong></summary>
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<summary><strong>Data Analysis & Visualization (6 packages)</strong></summary>
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- Dask, Matplotlib, Polars, ReportLab, Seaborn
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- Dask, Matplotlib, Polars, ReportLab, Seaborn, SimPy
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</details>
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