dwi-skill

DWI Skill (Modality Layer)

Overview

dwi-skill is the NeuroClaw modality-layer interface skill responsible for diffusion MRI (DWI/DTI) preprocessing and feature extraction.

It strictly follows NeuroClaw hierarchical design principles:

• This skill defines WHAT needs to be done and which tool skill to delegate to.
• It contains no implementation code and no concrete shell commands.
• All concrete execution is delegated to tool skills and routed through claw-shell.- Reference implementations (MATLAB, Python) are provided for user understanding but should be wrapped via tool skills in production workflows. Core workflow (never bypassed):

1. Identify input type (DICOM / NIfTI / BIDS), single-shell vs multi-shell, reverse phase-encoded b0/fieldmaps availability.
2. Generate a numbered execution plan (steps, tools, outputs, runtime, risks).
3. Present the plan and wait for explicit user confirmation (“YES” / “execute” / “proceed”).
4. On confirmation, delegate each step to the relevant tool skill via claw-shell.
5. Save outputs into dwi_output/.

When the task includes tractography or connectome construction, default to the strongest task-faithful diffusion route available rather than a generic tensor-only fallback:

• Prefer QSIPrep -> MRtrix3 style downstream processing with multi-tissue FOD, ACT, SIFT2, and tck2connectome when data quality and inputs support it.
• Use tensor-only DIPY/DTI examples as a fallback, not as the default full-pipeline answer, unless the data are truly limited or the user explicitly requests a lightweight DTI-only workflow.
• If atlas/parcellation, label tables, registration/alignment targets, or tractography-critical settings are missing, state Missing required input explicitly and ask the user to choose the key analysis options before execution instead of silently assuming weak defaults.

Benchmark-Facing Default Mainline

For benchmark-style DWI prompts, choose one explicit diffusion mainline and keep unrelated modality or alternative preprocessing branches out of the primary answer.