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Add support to LaminDB
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# Claude Scientific Skills
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[](LICENSE.md)
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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** | 26 | PubMed, PubChem, UniProt, ChEMBL, COSMIC, DrugBank, AlphaFold DB, bioRxiv, and more |
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| 🔬 **Scientific Packages** | 58 | BioPython, RDKit, PyTorch, Scanpy, scvi-tools, ESM, SimPy, pydicom, PyHealth, Data Commons, histolab, PathML, PyLabRobot, HypoGeniC, MarkItDown, and more |
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| 🔬 **Scientific Packages** | 59 | BioPython, RDKit, PyTorch, Scanpy, scvi-tools, ESM, SimPy, pydicom, PyHealth, Data Commons, histolab, LaminDB, PathML, PyLabRobot, HypoGeniC, MarkItDown, and more |
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| 🔌 **Scientific Integrations** | 7 | Benchling, DNAnexus, Opentrons, LabArchives, LatchBio, OMERO, Protocols.io |
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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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2. Select **claude-scientific-skills**
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3. Choose from:
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- `scientific-databases` - Access to 25 scientific databases
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- `scientific-packages` - 57 specialized Python packages
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- `scientific-packages` - 58 specialized Python packages
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- `scientific-thinking` - Analysis tools and document processing
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- `scientific-integrations` - Lab automation and platform integrations
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- `scientific-context-initialization` - Ensures Claude searches for and uses existing skills
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</details>
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<details>
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<summary><strong>Additional Packages (11 packages)</strong></summary>
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<summary><strong>Additional Packages (12 packages)</strong></summary>
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- BIOMNI (Multi-omics), ETE Toolkit (Phylogenetics)
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- histolab (Digital pathology WSI processing and tile extraction)
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- HypoGeniC (Automated hypothesis generation and testing)
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- LaminDB (Data framework for biology with FAIR data management, lineage tracking, and ontology integration)
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- MarkItDown (Document format conversion to Markdown for LLM processing)
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- Paper-2-Web (Academic paper dissemination and presentation)
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- PathML (Computational pathology and whole-slide image analysis)
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