Healthy Brain Network (HBN) Pipeline (Claude Skill)

End-to-end workflow for the Healthy Brain Network (HBN) dataset, including download, BIDS organization, and multimodal processing of sMRI, dMRI, rs-fMRI, task-fMRI, and EEG data.

   
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/hbn-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 an end-to-end workflow for the Healthy Brain Network (HBN) dataset, including download, BIDS organization, and multimodal processing of sMRI, dMRI, rs-fMRI, task-fMRI, and EEG data. Triggers include: ‘HBN’, ‘Healthy Brain Network’, ‘process HBN’, ‘HBN fMRI’, ‘HBN EEG’, or any request to run the HBN multimodal pipeline. This is the NeuroClaw dataset-orchestration layer for HBN.

Primary use cases: ‘HBN’, ‘Healthy Brain Network’, ‘process HBN’, ‘HBN fMRI’, ‘HBN EEG’, or any request to run the HBN multimodal pipeline.

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/hbn-skill.

Sources

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