Diffusion MRI (DWI) (Claude Skill)

Preprocess diffusion MRI / DWI data, compute diffusion metrics (FA/MD/AD/RD, etc.), extract ROI-wise diffusion features, or run tractography/connectome-related workflows.

   
Type Claude Skill
Supplier CUHK-AIM-Group (community OSS, MIT)
Availability GA — part of the NeuroClaw neuroimaging skill library
Pricing Free / OSS (MIT)
Capabilities Read/Write — Claude runs the skill’s Python locally (Bash), not as an MCP tool

How to install

  • Claude Code — clone and copy the skill into your skills directory: 
    git clone https://github.com/CUHK-AIM-Group/NeuroClaw
cp -r NeuroClaw/skills/dwi-skill ~/.claude/skills/

    Project-scoped alternative: copy into .claude/skills/ instead. NeuroClaw skills assume the collection’s shared helpers (claw-shell, modality tool skills) and the upstream neuroimaging stack (FreeSurfer/FSL/fMRIPrep/etc.) — install those dependencies, or run the bundled installer for the full environment:

    cd NeuroClaw && python installer/setup.py

    which configures the Python env, CUDA/GPU, and the neuroimaging tools.

What it does

Use this skill whenever the user wants to preprocess diffusion MRI / DWI data, compute diffusion metrics (FA/MD/AD/RD, etc.), extract ROI-wise diffusion features, or run tractography/connectome-related workflows. Triggers include: ‘DWI’, ‘DTI’, ‘diffusion MRI’, ‘FA’, ‘MD’, ‘AD’, ‘RD’, ‘eddy’, ‘topup’, ‘QSIPrep’, ‘tractography’, ‘connectome’, ‘TBSS’, ‘white matter microstructure’. This is the NeuroClaw modality-layer interface: it plans WHAT to do and delegates execution to tool skills.

Primary use cases: ‘DWI’, ‘DTI’, ‘diffusion MRI’, ‘FA’, ‘MD’, ‘AD’, ‘RD’, ‘eddy’, ‘topup’, ‘QSIPrep’, ‘tractography’, ‘connectome’, ‘TBSS’, ‘white matter microstructure’.

Notes

Distributed as a SKILL.md (plus code examples) in the NeuroClaw skill library — Claude executes it locally via Bash/Python rather than as an MCP server. Upstream license: MIT. The skill directory upstream is skills/dwi-skill.

Sources

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