De la autor
Use this skill whenever any NeuroClaw diffusion MRI / DWI modality skill needs to execute concrete DIPY operations: load DWI (NIfTI+bvals+bvecs), optional masking, DTI fitting, compute FA/MD/AD/RD, and extract ROI statistics. This is the dedicated base/tool skill that contains all specific DIPY code and usage patterns. Never called directly by the user.
Instalare
npx skills add BioTender-max/awesome-bio-agent-skills --skill dipy-tool -a claude-code
Se instalează în .claude/skills/dipy-tool/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Fără descărcare: licența acestui skill (Personalizată sau neclară) nu ne permite să-i redistribuim fișierele. Comenzile de instalare le iau direct de pe GitHub.
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De ce 74
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- smri-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants to process structural MRI (sMRI) such as T1w/T2w/FLAIR for brain extraction, bias correction, tissue segmentation (GM/WM/CSF), registration to MNI, cortical/subcortical parcellation, cortical thickness/volumetry (FreeSurfer), HCP-style structural preprocessing, WMH lesion segmentation (FLAIR+T1), ROI-wise feature extraction, or converting results back to DICOM. This is the NeuroClaw modality-layer interface: it plans WHAT to do and delegates execution to tool skills.Design★ 206
- adni-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for ADNI data (fMRI + T1), including BIDS preparation, fMRIPrep preprocessing, and DK68 ROI pipeline. This is the NeuroClaw dataset-orchestration layer for ADNI.Productivitate★ 206
- abcd-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for the ABCD Study dataset, including download via NIMH Data Archive, BIDS organization, and multimodal processing of sMRI, fMRI, and dMRI. Triggers include: 'ABCD Study', 'ABCD data', 'process ABCD', 'ABCD fMRI', 'ABCD sMRI', 'ABCD diffusion', or any request to run the ABCD multimodal pipeline. This is the NeuroClaw dataset-orchestration layer for ABCD.Productivitate★ 206
- fmri-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants to perform fMRI preprocessing, first-level analysis, ROI extraction, functional connectivity, effective connectivity, or atlas-based alignment to MNI152 space using either fMRIPrep, HCP-style pipelines, or CONN Toolbox. Triggers include: 'fmri', 'fMRI analysis', 'functional connectivity', 'effective connectivity', 'ROI extraction', 'seed-based correlation', 'PPI', 'DCM', 'atlas alignment', 'MNI152', 'HCP pipeline', 'CONN toolbox', or any request involving BOLD data.Altele★ 206
- fsl-toolBioTender-max/awesome-bio-agent-skillsUse 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.Design★ 206
- nii2dcmBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants to convert NIfTI files (.nii or .nii.gz) to DICOM format, create DICOM series from processed neuroimaging results, write segmentation/registration/analysis outputs back to DICOM for PACS compatibility or clinical viewer comparison, or transfer metadata from reference DICOM files. Triggers include: mentions of 'NIfTI to DICOM', 'nii to dcm', 'convert nii.gz to DICOM', 'dicomify segmentation', 'nii2dcm', 'bring results back to DICOM', 'create DICOM from NIfTI', 'nii to dicom series', or any request to take post-processed neuroimaging results (segmentation, registration, bias field correction, synthesis, etc.) and store/view them alongside original patient DICOM data. Also use when modality-specific metadata (especially MR, SVR) or preservation of patient/study information from a reference DICOM is needed. Do NOT use for the reverse conversion (DICOM to NIfTI), non-medical imaging file conversions, or any clinical diagnostic or treatment-related workflows.Știință★ 206
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