skills/claude-scientific-skills
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Add utility skill to get system resources

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Timothy Kassis
2025-10-23 09:12:01 -07:00
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README.md
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[![License: PolyForm Noncommercial 1.0.0](https://img.shields.io/badge/License-PolyForm%20Noncommercial-blue.svg)](LICENSE.md)
[![GitHub Stars](https://img.shields.io/github/stars/K-Dense-AI/claude-scientific-skills?style=social)](https://github.com/K-Dense-AI/claude-scientific-skills)
[![Skills](https://img.shields.io/badge/Skills-74%2B-brightgreen.svg)](#what-s-included)
[![Skills](https://img.shields.io/badge/Skills-77%2B-brightgreen.svg)](#what-s-included)
[![Workflows](https://img.shields.io/badge/Workflows-122-orange.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** | 25 | PubMed, PubChem, UniProt, ChEMBL, COSMIC, AlphaFold DB, bioRxiv, and more |
| 🔬 **Scientific Packages** | 43 | BioPython, RDKit, PyTorch, Scanpy, and specialized tools |
| 🔬 **Scientific Packages** | 46 | BioPython, RDKit, PyTorch, Scanpy, scvi-tools, ESM, and specialized tools |
| 🔌 **Scientific Integrations** | 6 | Benchling, DNAnexus, Opentrons, LabArchives, LatchBio, OMERO |
| 🎯 **Context Initialization** | 1 | Auto-invoked skill to ensure Claude uses existing skills effectively |
| 🛠️ **Scientific Helpers** | 2 | Context initialization and resource detection utilities |
| 📚 **Documented Workflows** | 122 | Ready-to-use examples and reference materials |
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@@ -78,7 +78,7 @@ Then, to install a specific set of skills:
2. Select **claude-scientific-skills**
3. Choose from:
- `scientific-databases` - Access to 25 scientific databases
- `scientific-packages` - 43 specialized Python packages
- `scientific-packages` - 46 specialized Python packages
- `scientific-thinking` - Analysis tools and document processing
- `scientific-integrations` - Lab automation and platform integrations
- `scientific-context-initialization` - Ensures Claude searches for and uses existing skills
@@ -248,15 +248,15 @@ network visualizations. Finally, search GEO for similar expression patterns acro
---
### 🔬 Scientific Packages
**43 specialized Python packages** organized by domain.
**44 specialized Python packages** organized by domain.
📖 **[Full Package Documentation →](docs/scientific-packages.md)**
<details>
<summary><strong>Bioinformatics & Genomics (11 packages)</strong></summary>
<summary><strong>Bioinformatics & Genomics (12 packages)</strong></summary>
- AnnData, Arboreto, BioPython, BioServices, Cellxgene Census
- deepTools, FlowIO, gget, pysam, PyDESeq2, Scanpy
- deepTools, FlowIO, gget, pysam, PyDESeq2, Scanpy, scvi-tools
</details>
@@ -275,9 +275,9 @@ network visualizations. Finally, search GEO for similar expression patterns acro
</details>
<details>
<summary><strong>Machine Learning & Deep Learning (8 packages)</strong></summary>
<summary><strong>Machine Learning & Deep Learning (9 packages)</strong></summary>
- PyMC, PyMOO, PyTorch Lightning, scikit-learn, statsmodels
- PyMC, PyMOO, PyTorch Lightning, scikit-learn, SHAP, statsmodels
- Torch Geometric, Transformers, UMAP-learn
</details>
@@ -344,6 +344,14 @@ network visualizations. Finally, search GEO for similar expression patterns acro
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### 🛠️ Scientific Helpers
**2 helper utilities** for enhanced scientific computing capabilities.
- **scientific-context-initialization** - Auto-invoked skill that creates/updates workspace AGENT.md to instruct Claude to search for and use existing skills before attempting any scientific task
- **get-available-resources** - Detects available system resources (CPU cores, GPUs, memory, disk space) and generates strategic recommendations for computational approaches (parallel processing, out-of-core computing, GPU acceleration)
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## 🤝 Contributing
We welcome contributions to expand and improve this scientific skills repository!