dicom-series-to-volume
dicom-series-to-volume is a general-purpose Skill indexed on SkillHub from the GitHub repository nvidia/skills, written by nvidia.
dicom-series-to-volume at a glance
- Category
- General
- Listing
- Indexed from GitHub, not hosted on SkillHub
- Author
- nvidia
- Source
- nvidia/skills
- Licence
- Apache-2.0
- Installs on skills.sh
- 1,876
- GitHub stars
- 3,476
- GitHub forks
- 421
- Repository last pushed
- 2026-09-25
- Price
- Free
- Indexed on
- 2026-09-28
- Install command
npx skills add https://github.com/nvidia/skills --skill dicom-series-to-volume
About this listing
This listing is indexed from GitHub. Its author publishes on their own repository, not here, so the fit details SkillHub creators fill in are missing. Read the repository for what it does and how to use it.
How to install dicom-series-to-volume
dicom-series-to-volume is not hosted on SkillHub. The author's own install command is: npx skills add https://github.com/nvidia/skills --skill dicom-series-to-volume. Read its GitHub repository for what the command does before you run it.
npx skills add https://github.com/nvidia/skills --skill dicom-series-to-volume
Questions about dicom-series-to-volume
What is dicom-series-to-volume?
dicom-series-to-volume is a general-purpose Skill indexed on SkillHub from the GitHub repository nvidia/skills, written by nvidia.
How do I install dicom-series-to-volume?
dicom-series-to-volume is not hosted on SkillHub. The author's own install command is: npx skills add https://github.com/nvidia/skills --skill dicom-series-to-volume. Read its GitHub repository for what the command does before you run it.
Is dicom-series-to-volume free?
SkillHub does not sell dicom-series-to-volume. Its recorded licence is Apache-2.0. Check the author's source for the terms it is published under.
Who made dicom-series-to-volume?
dicom-series-to-volume was written by nvidia and is maintained in nvidia/skills. SkillHub indexes it and does not host it.
How popular is dicom-series-to-volume?
Skills.sh records 1,876 installs of it across the agents it supports, and its repository has 3,476 stars on GitHub. Both are counts measured elsewhere, and neither says whether it fits your job.
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