open-science-skills

🥈Silver

@justaddcoffee

Community-contributed Claude skills for scientific discovery, for use with Claude Code and other agents

1200Updated Today

Intermediate30min to implementautomation

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/justaddcoffee/open-science-skills.git

Works with:

Claude

Overview

About This Skill

Community-contributed Claude skills for scientific discovery, for use with Claude Code and other agents

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/justaddcoffee/open-science-skills

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I'm a researcher in [INDUSTRY] studying [TOPIC]. I need help with [TASK] using [DATA]. Can you suggest open-source tools, datasets, or methods to assist me? Also, provide a step-by-step guide on how to implement this solution.

Example Output

# Open-Science Tools for [TOPIC] Research

## Recommended Tools
- **Tool 1**: [Tool Name] - An open-source tool for [specific task]. GitHub: [link]
- **Tool 2**: [Tool Name] - A dataset for [specific data]. Source: [link]
- **Tool 3**: [Tool Name] - A method for [specific analysis]. Documentation: [link]

## Step-by-Step Guide
1. **Installation**: Clone the repository and install dependencies.
   ```bash
   git clone [repository URL]
   cd [repository folder]
   pip install -r requirements.txt
   ```
2. **Data Preparation**: Prepare your data in the required format.
3. **Run the Tool**: Execute the tool with your data.
   ```bash
   python main.py --input [your data file]
   ```
4. **Analyze Results**: Review the output and interpret the results.

## Additional Resources
- [Related Paper](https://doi.org/[DOI])
- [Tutorial Video](https://www.youtube.com/watch?v=[video ID])