skills/claude-scientific-skills
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Add support for Vaex for fast, memory-efficient exploration and visualization of large tabular datasets using lazy, out-of-core computation.

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Timothy Kassis
2025-11-02 14:43:20 -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-95-brightgreen.svg)](#what-s-included)
[![Skills](https://img.shields.io/badge/Skills-96-brightgreen.svg)](#what-s-included)
[![Equivalent Tools](https://img.shields.io/badge/Equivalent_Tools-1002-blue.svg)](#what-s-included)
A comprehensive collection of ready-to-use scientific skills for Claude, curated by the K-Dense team.
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| Category | Count | Description |
|----------|-------|-------------|
| 📊 **Scientific Databases** | 26 | PubMed, PubChem, UniProt, ChEMBL, COSMIC, DrugBank, AlphaFold DB, bioRxiv, and more |
| 🔬 **Scientific Packages** | 60 | BioPython, RDKit, PyTorch, Scanpy, scvi-tools, ESM, NetworkX, SimPy, pydicom, PyHealth, Data Commons, histolab, LaminDB, PathML, PyLabRobot, HypoGeniC, MarkItDown, and more |
| 🔬 **Scientific Packages** | 61 | BioPython, RDKit, PyTorch, Scanpy, scvi-tools, ESM, NetworkX, SimPy, pydicom, PyHealth, Data Commons, histolab, LaminDB, PathML, PyLabRobot, HypoGeniC, MarkItDown, Vaex, and more |
| 🔌 **Scientific Integrations** | 7 | Benchling, DNAnexus, Opentrons, LabArchives, LatchBio, OMERO, Protocols.io |
| 🛠️ **Scientific Helpers** | 2 | Context initialization and resource detection utilities |
| 📚 **Documented Workflows** | 122 | Ready-to-use examples and reference materials |
@@ -313,7 +313,7 @@ results, conclusions and providing recommendations."
---
### 🔬 Scientific Packages
**61 specialized Python packages** organized by domain.
**62 specialized Python packages** organized by domain.
📖 **[Full Package Documentation →](docs/scientific-packages.md)**
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</details>
<details>
<summary><strong>Data Analysis & Visualization (8 packages)</strong></summary>
<summary><strong>Data Analysis & Visualization (9 packages)</strong></summary>
- Dask, Matplotlib, NetworkX, Polars, ReportLab, Seaborn, SimPy, SymPy
- Dask, Matplotlib, NetworkX, Polars, ReportLab, Seaborn, SimPy, SymPy, Vaex
</details>