# Life Science AI Prompts

> *Where the prompts live, thrive, and reach the world.*

Curated, versioned AI prompts for life sciences research.
Covers genomics, proteomics, CRISPR, cell biology, and literature synthesis.

## Analogous Resources Ingested

| Repository | Focus | Stars |
|---|---|---|
| [awesome-ai-for-science](https://github.com/ai-boost/awesome-ai-for-science) | AI tools across sciences | ★★★ |
| [Awesome-LLM-Agents-Scientific-Discovery](https://github.com/zjlrock777/Awesome-LLM-Agents-Scientific-Discovery) | LLM agents in biomedical research | ★★★ |
| [awesome-genomic-skills](https://github.com/GoekeLab/awesome-genomic-skills) | Genomic LLM agent skills | ★★★ |
| [awesome-computational-biology](https://github.com/inoue0426/awesome-computational-biology) | Computational biology resources | ★★★ |
| [Awesome-LLM-Scientific-Discovery](https://github.com/HKUST-KnowComp/Awesome-LLM-Scientific-Discovery) | LLMs for science | ★★★ |

## Folder Structure

```
genomics/     — variant calling, RNA-seq, CRISPR
proteomics/   — structure, mass spectrometry, interactions
cell-biology/ — flow cytometry, microscopy, assays
literature/   — paper summarisation, methods extraction
```

## How to Use

```python
import requests, base64

GITEA_URL = "https://promptnotes.ai"
TOKEN = "your-token"

def read_prompt(owner, repo, path):
    url = f"{GITEA_URL}/api/v1/repos/{owner}/{repo}/contents/{path}"
    r = requests.get(url, headers={"Authorization": f"token {TOKEN}"})
    return base64.b64decode(r.json()["content"]).decode()

prompt = read_prompt("promptadmin", "life-science-ai-prompts",
                     "genomics/variant-interpretation/snp-clinical-significance.md")
```