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claude-scientific-skill for Imaging Data Commons

Key Investigators

• Andrey Fedorov (BWH, USA)
• Lalith Kumar Shiyam Sundar (LMU, Germany)
• Andras Lasso (Queen's U, Canada)
• Leonard Nürnberg (AIM Lab, USA)

Project Description

claude-scientific-skills introduces a development pattern to describe tools and resources usable in scientific research via a human-readable document, accompanied by code samples and recipes covering key functionality of the resource. Further, the company maintaining that repository makes the resulting skills accessible via MCP server, which could be connected with an agentic dev platform to improve quality of responses. The goal of this project is to add a new skill to the aforementioned repo to cover Imaging Data Commons.

Objective

1. IDC skill is available in https://github.com/K-Dense-AI/claude-scientific-skills
2. Feedback and use cases collected from the community

Approach and Plan

1. Analyze existing skills, understand best practices.
2. Develop the IDC skill.
3. Submit a PR with the IDC skill.
4. Compare responses of LLM with and without using the claude-scientific-skills MCP server.
5. Evaluate usability of the skill using the questions from IDC forum, or any other questions from the community.

Progress and Next Steps

1. Set up Claude.AI with the claude-scientific-skills MCP server, experiment.
2. Started setting up the skill layout and deciding what should be covered.

Illustrations

No response

Background and References

No response