SimpleITK (Claude Skill)

Register, segment, filter, resample 3D medical images (MRI, CT, microscopy) via SimpleITK Python; DICOM, NIfTI, multi-modal.

   
Type Claude Skill
Supplier jaechang-hits (community OSS, CC BY 4.0)
Availability GA — part of the BixBench-evaluated SciAgent-Skills collection
Pricing Free / OSS (Apache-2.0)
Capabilities Read/Write — Claude runs the skill’s Python locally (Bash), not as an MCP tool

How to install

SciAgent-Skills is not an npm package — skills are plain markdown read directly by the agent (no npx/npm).

  • Claude Code — clone and load as a plugin: 
    git clone https://github.com/jaechang-hits/SciAgent-Skills

    Then inside Claude Code run /plugin install sciagent-skills (verify it appears under /plugin → Installed). Clone into your project directory so Claude Code picks the skills up via CLAUDE.md.

  • Manual / other agents — point the agent at the skill file directly: 
    cp -r SciAgent-Skills/skills/medical-imaging/simpleitk-image-registration ~/.claude/skills/

    The skill declares its own Python dependencies in its SKILL.md; install them when prompted on first use.

What it does

Register, segment, filter, resample 3D medical images (MRI, CT, microscopy) via SimpleITK Python; DICOM, NIfTI, multi-modal. Rigid/affine/deformable registration, threshold/region-growing segmentation, Gaussian/morph filtering, label stats, format conversion. Use to align volumes across timepoints/modalities, segment fluorescence, or convert DICOM→NIfTI.

Primary use cases: Register, segment, filter, resample 3D medical images (MRI, CT, microscopy) via SimpleITK Python; DICOM, NIfTI, multi-modal.

Notes

Distributed as a SKILL.md (plus code examples) in the SciAgent-Skills collection — Claude executes it locally via Bash/Python rather than as an MCP server. Upstream license: Apache-2.0. The skill directory upstream is skills/medical-imaging/simpleitk-image-registration.

Sources

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