Skip to content
TrustedSkillsbeta
Back to all skills

Pydicom

Listed
davila7·vlatest·other·MIT

This skill utilizes PyDICOM to read and manipulate DICOM medical images, enabling developers to integrate imaging data into applications.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill pydicom -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides access to the pydicom library, enabling AI agents to read, manipulate, and write DICOM (Digital Imaging and Communications in Medicine) files. It allows parsing of metadata within these files, extracting patient information, image dimensions, and other relevant data. The agent can also perform basic modifications to existing DICOM datasets before saving them.

When to use it

  • Analyzing medical images: Extracting key data points from DICOM files for research or reporting purposes.
  • Automating tasks in radiology workflows: Modifying image metadata, such as patient names or study dates, based on specific criteria.
  • Converting between different DICOM formats: Transforming DICOM datasets to a more usable format for downstream processing.
  • Building custom medical imaging applications: Integrating DICOM data handling into larger software projects.

Key capabilities

  • DICOM file parsing and reading
  • Metadata extraction from DICOM files
  • DICOM dataset modification
  • DICOM file writing/saving

Example prompts

  • "Extract the patient's name and study date from this DICOM file."
  • "Modify the accession number in this DICOM file to 'NEW-ACCESSION'."
  • "Save this DICOM dataset as a new PNG image."

Tips & gotchas

  • Requires familiarity with DICOM data structures. Understanding DICOM tags and their meanings is helpful for effective use.
  • DICOM files can be large, so ensure sufficient memory resources are available when processing them.