skills/claude-scientific-skills
1
0
Fork 0
mirror of https://github.com/K-Dense-AI/claude-scientific-skills.git synced 2026-01-26 16:58:56 +08:00
Code Issues Packages Projects Releases Wiki Activity

Add scikit-survival for survival analysis allowing users to establish connections between covariates and time of an event

Browse Source
This commit is contained in:
Timothy Kassis
2025-10-23 10:02:16 -07:00
parent b1df506eba
commit ee73143b53
10 changed files with 2590 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
README.md
View File

@@ -2,7 +2,7 @@
[![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-80%2B-brightgreen.svg)](#what-s-included)
[![Skills](https://img.shields.io/badge/Skills-83-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.
@@ -45,7 +45,7 @@ These skills enable Claude to work with specialized scientific libraries and dat
| Category | Count | Description |
|----------|-------|-------------|
| 📊 **Scientific Databases** | 25 | PubMed, PubChem, UniProt, ChEMBL, COSMIC, AlphaFold DB, bioRxiv, and more |
| 🔬 **Scientific Packages** | 49 | BioPython, RDKit, PyTorch, Scanpy, scvi-tools, ESM, SimPy, pydicom, PyHealth, and more |
| 🔬 **Scientific Packages** | 50 | BioPython, RDKit, PyTorch, Scanpy, scvi-tools, ESM, SimPy, pydicom, PyHealth, and more |
| 🔌 **Scientific Integrations** | 6 | Benchling, DNAnexus, Opentrons, LabArchives, LatchBio, OMERO |
| 🛠️ **Scientific Helpers** | 2 | Context initialization and resource detection utilities |
| 📚 **Documented Workflows** | 122 | Ready-to-use examples and reference materials |
@@ -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` - 48 specialized Python packages
- `scientific-packages` - 50 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
@@ -275,10 +275,10 @@ network visualizations. Finally, search GEO for similar expression patterns acro
</details>
<details>
<summary><strong>Machine Learning & Deep Learning (9 packages)</strong></summary>
<summary><strong>Machine Learning & Deep Learning (10 packages)</strong></summary>
- PyMC, PyMOO, PyTorch Lightning, scikit-learn, SHAP, statsmodels
- Torch Geometric, Transformers, UMAP-learn
- PyMC, PyMOO, PyTorch Lightning, scikit-learn, scikit-survival, SHAP
- statsmodels, Torch Geometric, Transformers, UMAP-learn
</details>