Individual skill
pydicom
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
skills-imported/pydicom/SKILL.md
Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 8, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 56
- Repository last updated
- Oct 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- ai-agents-automation Repository topic
- ai-skills Repository topic
- awesome Repository topic
- awesome-list Repository topic
- chatgpt Repository topic
- claude-skills Repository topic
- meta-ai Repository topic
- muse-ai Repository topic
- writing Derived category
- data Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesSKILL.mdcore · 13,085 bytesreferences/common_tags.mddoc · 10,246 bytesreferences/transfer_syntaxes.mddoc · 9,627 bytesscripts/anonymize_dicom.pyruns · 5,254 bytesscripts/dicom_to_image.pyruns · 6,101 bytesscripts/extract_metadata.pyruns · 5,686 bytes
Read excerpt
# Pydicom
## Overview
Pydicom is a pure Python package for working with DICOM files, the standard format for medical imaging data. This skill provides guidance on reading, writing, and manipulating DICOM files, including working with pixel data, metadata, and various compression formats.
## When to Use This Skill
Use this skill when working with:
- Medical imaging files (CT, MRI, X-ray, ultrasound, PET, etc.)
- DICOM datasets requiring metadata extraction or modification
- Pixel data extraction and image processing from medical scans
- DICOM anonymization for research or data sharing
- Converting DICOM files to standard image formats