What problem does it solve?
This Skill provides a NeuroClaw interface-layer wrapper for QSIPrep to plan, validate inputs, manage dependencies, and route execution through claw-shell, delivering reproducible DWI preprocessing workflows on BIDS datasets.
Core Features & Use Cases
- Interface-layer wrapper around QSIPrep that checks installation (Docker/Singularity/conda) and triggers dependency planning.
- Generates a deterministic execution plan with exact commands, resource estimates, and potential risks; requires explicit user confirmation before execution.
- Validates inputs (BIDS layout, presence of DWI and fieldmaps when available) and produces derivatives + QC HTML reports.
- Executes via claw-shell with robust logging and post-run verification through the harness-core framework.
- Use cases include single-subject or multi-subject diffusion datasets, HPC or workstation deployments, and reproducible preprocessing for downstream diffusion modeling (DTI, DKI, CSDE, tractography).
Quick Start
Run the QSIPrep tool on a BIDS dataset by generating an execution plan, validating inputs, and awaiting explicit confirmation to execute.