open-science-skills
🥈SilverCommunity-contributed domain skills for scientific discovery that extend Claude's capabilities with specialized expertise in metabolomics, genomics, proteomics, structural biology, and data science.
1200Updated 2mo ago
Intermediate30min to implementautomation
Saves ~45 min per use
Quick InstallView Source
git clone https://github.com/justaddcoffee/open-science-skills.gitWorks with:
Claude
Overview
About This Skill
open-science-skills is a modular skill repository that packages domain-specific expertise for scientific research domains including metabolomics, genomics, proteomics, structural biology, and data science. Each skill contains instructions, workflows, and best practices that help Claude Code and other AI agents reason more effectively about specialized research problems. The repository enables researchers to leverage community knowledge for pathway analysis, flux calculations, metabolite interpretation, transcriptomics analysis, protein structure validation, and statistical analysis. Install skills individually via marketplace or manually to augment your AI agent with peer-reviewed scientific reasoning patterns.
How to Use
Install via marketplace using `/plugin marketplace add justaddcoffee/open-science-skills` then browse and install individual domain skills, or manually clone the repository into your Claude Code skills directory and copy the domain folders you need.
Use Cases
Metabolomics analysis: pathway analysis, flux calculations, metabolite interpretation
Genomics and transcriptomics analysis with domain-specific strategies
Protein structure validation and AlphaFold interpretation
Statistical analysis and data exploration for research datasets
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-skillsRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
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])
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