FSL (Claude Skill)

Process neuroimaging data with FSL (FMRIB Software Library), covering structural MRI, functional MRI (fMRI), and diffusion MRI (dMRI/DTI).


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/fsl-tool ~/.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 process neuroimaging data with FSL (FMRIB Software Library), covering structural MRI, functional MRI (fMRI), and diffusion MRI (dMRI/DTI). Triggers include: ‘use FSL’, ‘FSL processing’, ‘fsl_anat’, ‘FEAT’, ‘MELODIC’, ‘eddy’, ‘bedpostx’, ‘probtrackx’, ‘BET’, ‘FAST’, ‘FLIRT’, ‘FNIRT’, ‘run FSL pipeline’. This skill is the NeuroClaw interface-layer wrapper for FSL: checks installation, generates execution plan with concrete shell commands, waits for explicit confirmation, then routes all commands through claw-shell.

Primary use cases: ‘use FSL’, ‘FSL processing’, ‘fsl_anat’, ‘FEAT’, ‘MELODIC’, ‘eddy’, ‘bedpostx’, ‘probtrackx’, ‘BET’, ‘FAST’, ‘FLIRT’, ‘FNIRT’, ‘run FSL 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/fsl-tool.

Sources

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