pydicom

2,349 stars 279 forks Updated Dec 18, 2025

51.4

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, rad

Marketplace

#imaging applications pydicom#pydicom documentation dicom#pydicom description python#file ds pydicom#pydicom comprehensive

Also in: github data analysis

Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation

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Claude Code (CLI) Fast

skilz install K-Dense-AI_claude-scientific-skills/pydicom

OpenCode (CLI) Fast

skilz install K-Dense-AI_claude-scientific-skills/pydicom --agent opencode

OpenAI Codex (CLI) Native

skilz install K-Dense-AI_claude-scientific-skills/pydicom --agent codex

Gemini CLI (Project) Project

skilz install K-Dense-AI_claude-scientific-skills/pydicom --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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For Claude Desktop Easy

Download Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/K-Dense-AI/claude-scientific-skills

2. Copy the skill directory:

cp -r claude-scientific-skills/scientific-skills/pydicom ~/.claude/skills/

View on GitHub

Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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