idc-claude-skill
🥈SilverAI skill for querying and downloading public cancer imaging data from the National Cancer Institute's Imaging Data Commons. Benefits researchers and healthcare professionals by automating data retrieval for analysis and study.
3810Updated 2mo ago
Intermediate30min to implementautomation
Saves ~25 min per use
Quick InstallView Source
git clone https://github.com/ImagingDataCommons/idc-claude-skill.gitWorks with:
Claude
Overview
About This Skill
The IDC Claude Skill enables researchers and healthcare professionals to programmatically access public cancer imaging datasets from the National Cancer Institute's Imaging Data Commons. The skill allows you to search imaging data by cancer type, imaging modality (CT, MR, PET), and anatomy, then generate download commands and citations automatically. It provides links to DICOM viewers for data preview and answers questions about IDC data structure and metadata. This automation reduces manual data retrieval work and helps ensure proper licensing and attribution of datasets used in research and analysis.
How to Use
Load the skill in Claude Desktop or via the API using the setup instructions in USAGE.md. Once loaded, ask questions like 'Find CT scans of lung cancer in IDC' or 'How do I download all breast MRI data with commercial-use licenses?' The skill requires the idc-index Python package.
Use Cases
Find and download CT scans of specific cancer types for research analysis
Retrieve breast MRI datasets with commercial-use licenses
Generate proper citations for IDC collections in publications
Preview DICOM imaging data before downloading full 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/ImagingDataCommons/idc-claude-skillRequirements
- 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
Retrieve the latest imaging datasets from the National Cancer Institute's Imaging Data Commons for [COMPANY] focusing on [CANCER_TYPE] research. Provide a summary of the datasets including collection dates, imaging modalities, and patient demographics. Download the top 3 most relevant datasets for [INDUSTRY] analysis.
Example Output
# Imaging Data Summary for Breast Cancer Research ## Top 3 Datasets 1. **TCIA-BRCA-01** - Collection Date: 2020-2022 - Imaging Modalities: MRI, CT - Patient Demographics: 500 female patients, age range 30-75 - Relevance: High relevance for breast cancer screening and diagnosis 2. **TCIA-BRCA-02** - Collection Date: 2018-2020 - Imaging Modalities: Mammography, Ultrasound - Patient Demographics: 300 female patients, age range 40-80 - Relevance: Moderate relevance for breast cancer detection and monitoring 3. **TCIA-BRCA-03** - Collection Date: 2015-2017 - Imaging Modalities: PET, MRI - Patient Demographics: 200 female patients, age range 25-65 - Relevance: Low relevance for breast cancer research due to older data ## Download Links - [TCIA-BRCA-01 Dataset](https://example.com/dataset1) - [TCIA-BRCA-02 Dataset](https://example.com/dataset2) - [TCIA-BRCA-03 Dataset](https://example.com/dataset3)
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