Open source alternatives to imaging-data-commons
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G

github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O

opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A

andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M

microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O

od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G

github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About imaging-data-commons

imaging-data-commons
Queries and downloads public cancer imaging data from NCI Imaging Data Commons
imaging-data-commons is an agent skill for querying and downloading public cancer imaging data from the National Cancer Institute Imaging Data Commons, known as IDC. It covers collection discovery, DICOM access, and radiology data such as CT, MR and PET scans. Data access needs no login. The skill explains that IDC metadata can be reached in three ways: a bundled local DuckDB index that works offline after installation, the hosted IDC service over MCP or REST, and additional indices and clinical tables fetched from GitHub and S3. File downloads come from public Google Cloud Storage and AWS S3 buckets. DICOMweb access can use the public IDC proxy, which needs no authentication, or the Google Cloud Healthcare API, which needs Google Cloud credentials. Optional BigQuery queries also need Google Cloud authentication, and citation resolution contacts DOI services. The skill says to choose the access path first, because the cheapest correct route depends on the session and the task. It records that it was reviewed on 30 September 2026 against idc-index 0.12.5, idc-index-data 24.2.2, IDC v24 and hosted API 3.0.0b3, and it asks you to recheck at the time of use.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/imaging-data-commons











