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DataPython

Imaging Data Commons

by ImagingDataCommons

Imaging Data Commons is a Data skill for Claude Code, published by ImagingDataCommons in imaging-data-commons-skill.

41 stars11 forkson ImagingDataCommons/imaging-data-commons-skillAdded 2026/07/16Repository updated 2026/06/24
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Install Imaging Data Commons
Copy Imaging Data Commons into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/ImagingDataCommons/imaging-data-commons-skill ~/.claude/skills/imaging-data-commons-skill

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/ImagingDataCommons/imaging-data-commons-skill.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
SKILL.md in ImagingDataCommons/imaging-data-commons-skill
Installs to
~/.claude/skills/imaging-data-commons-skill
Collection
The only skill cataloged from this repository
Category
Data — 812 skills

What Imaging Data Commons does

Query and download public cancer imaging datasets (radiology and pathology) from NCI Imaging Data Commons for AI training, research, metadata exploration, and license checks. No authentication required.

Imaging Data Commons is cataloged under Data on DirSkills.

Documentation

README

Imaging Data Commons

Overview

Use the idc-index Python package to query and download public cancer imaging data from the National Cancer Institute Imaging Data Commons (IDC). No authentication required for data access.

Expected network access: idc-index queries a local DuckDB index (no network for metadata). File downloads use public GCS (storage.googleapis.com) and AWS S3 (s3.amazonaws.com) — no authentication required. DICOMweb access uses either the public IDC proxy (proxy.imaging.datacommons.cancer.gov, no auth) or the Google Cloud Healthcare API (healthcare.googleapis.com, requires GCP authentication). Optional BigQuery queries (bigquery.googleapis.com) also require GCP authentication. No credentials or environment variables are accessed by this skill.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Imaging Data Commons

  • How does Imaging Data Commons compare to other Data skills?

    Imaging Data Commons ranks #775 by stars among the 812 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Imaging Data Commons against them. Open each page to compare what they document and how they install.

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