by ImagingDataCommons · Claude Skill · ★ 34
IDC Claude Skill A Claude AI skill for querying and downloading public cancer imaging data from the National Cancer Institute's Imaging Data Commons (IDC). What This Skill Does Find imaging datasets by cancer type, imaging modality (CT, MR, PET, etc.), or anatomy Check data licenses and generate proper citations Generate download commands using the Python package Provide links to browser-based DICOM viewers for data preview Answer questions about IDC data structure and DICOM metadata Example Questions Once the skill is loaded, you can ask questions like: "Find CT scans of lung cancer in IDC"...
| Stars | 34 |
| Forks | 9 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 61.3359649810408/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-29 |
| Created | 2026-01-29 |
| Platforms | claude-code, python |
| Est. Tokens | ~18k |
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idc-claude-skill is Natural language interface to NCI Imaging Data Commons. It is categorized as a Claude Skill with 34 GitHub stars.
idc-claude-skill is primarily written in Python.
You can find installation instructions and usage details in the idc-claude-skill GitHub repository at github.com/ImagingDataCommons/idc-claude-skill. The project has 34 stars and 9 forks, indicating an active community.
idc-claude-skill is released under the MIT license, making it free to use and modify according to the license terms.