If you're working with medical imaging data, this handles the DICOM format end to end. Read CT, MRI, X-ray files, extract pixel arrays for analysis, modify metadata, anonymize patient information, or convert to standard image formats like PNG. The skill covers practical workflows like applying windowing for proper display, handling multi-frame sequences, dealing with compressed transfers, and creating DICOM files from scratch. Medical imaging has annoying edge cases around color spaces and compression codecs, so having guidance on pylibjpeg dependencies and photometric interpretation saves debugging time. Useful for radiology workflows, research datasets, or anything touching PACS systems.
npx -y skills add davila7/claude-code-templates --skill pydicom --agent claude-codeInstalls into .claude/skills of the current project.
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