scientific-skills

Este extracto es una copia guardada durante la revisión. La fuente externa contiene la versión completa y actual.

---
name: scientific-skills
description: Comprehensive scientific research toolkit with 139 specialized skills for biology, chemistry, medicine, data science, and computational research. Transforms Claude into an AI research assistant with access to scientific databases, analysis tools, and domain-specific workflows.
license: MIT
version: 2.17.0
metadata:
  skill-author: K-Dense Inc.
  original-repo: https://github.com/K-Dense-AI/claude-scientific-skills
  categories:
    - scientific-databases
    - bioinformatics
    - cheminformatics
    - machine-learning
    - data-analysis
    - scientific-writing
  skill-count: 139
tools:
  - Read
  - Write
  - Edit
  - Bash
  - WebSearch
  - WebFetch
  - Task
verified: true
lastVerifiedAt: 2026-02-22T00:00:00.000Z
source: builtin
trust_score: 100
provenance_sha: 6ef5e44f42f7ff66
---

# Claude Scientific Skills

## Overview

A comprehensive collection of **139 ready-to-use scientific skills** that transform Claude into an AI research assistant capable of executing complex multi-step scientific workflows across biology, chemistry, medicine, and related fields.

## When to Use

Invoke this skill when:

- Working on scientific research tasks
- Need access to specialized databases (PubMed, ChEMBL, UniProt, etc.)
- Performing bioinformatics or cheminformatics analysis
- Creating literature reviews or scientific documents
- Analyzing single-cell RNA-seq, proteomics, or multi-omics data
- Drug discovery and molecular analysis workflows
- Statistical analysis and machine learning on scientific data

## Quick Start

```javascript
// Invoke the main skill catalog
Skill({ skill: 'scientific-skills' });

// Or invoke specific sub-skills directly
Skill({ skill: 'scientific-skills/rdkit' }); // Cheminformatics
Skill({ skill: 'scientific-skills/scanpy' }); // Single-cell analysis
Skill({ skill: 'scientific-skills/biopython' }); // Bioinformatics
Skill({ skill: 'scientific-skills/literature-review' }); // Literature review
```

## Skill Categories

### Scientific Databases (28+)

| Skill                     | Description                             |
| ------------------------- | --------------------------------------- |
| `pubchem`                 | Chemical compound database              |
| `chembl-database`         | Bioactivity database for drug discovery |
| `uniprot-database`        | Protein sequence and function database  |
| `pdb`                     | Protein Data Bank structures            |
| `drugbank-database`       | Drug and drug target information        |
| `kegg`                    | Pathway and genome database             |
| `clinvar-database`        | Clinical variant interpretations        |
| `cosmic-database`         | Cancer mutation database                |
| `ensembl-database`        | Genome browser and annotations          |
| `geo-database`            | Gene expression data                    |
| `gwas-database`           | Genome-wide association studies         |
| `reactome-database`       | Biological pathways                     |
| `string-database`         | Protein-protein interactions            |
| `alphafold-database`      | Protein structure predictions           |
| `biorxiv-database`        | Preprint server for biology             |
| `clinicaltrials-database` | Clinical trial registry                 |
| `ena-database`            | European Nucleotide Archive             |
| `fda-database`            | FDA drug approvals and labels           |
| `gene-database`           | Gene information from NCBI              |
| `zinc-database`           | Commercially available compounds        |
| `brenda-database`         | Enzyme database                         |
| `clinpgx-database`        | Pharmacogenomics annotations            |
| `uspto-database`          | Patent database                         |

### Python Analysis Libraries (55+)

| Skill                               | Description                  |
| ----------------------------------- | -----------