What problem does it solve? Working with the ABCD Study dataset requires navigating controlled NBDC access, converting NDAR-style raw data into BIDS-compliant layouts, and coordinating separate sMRI, fMRI, and dMRI pipelines. This Skill provides a single orchestration entry point that manages the full workflow from approved download through staging, modality delegation, phenotype merging, and QC reporting. ## Core Features & Use Cases - BIDS Reorganization: Converts raw ABCD NIfTI files with NDAR subject IDs and event names into BIDS-compliant structures with dataset_description.json and participants.tsv via scripts/reorganize_abcd.py. - Phenotype Extraction: Merges tab-delimited ABCD phenotype tables (mental health, CBCL, KSADS) with visit alignment and imaging subject cross-referencing via scripts/extract_abcd_phenotype.py. - QC Summaries: Combines fMRIPrep confounds, FreeSurfer metrics, and ABCD native QC flags into per-subject exclusion lists via scripts/abcd_qc_summary.py. - Use Case: A researcher with approved NBDC access downloads ABCD 7.0 imaging data, stages it into BIDS format, delegates T1w processing to smri-skill and resting-state fMRI to fmri-skill, then merges CBCL phenotype scores and generates a motion-based exclusion list for statistical analysis. ## Quick Start Ask the agent to organize the local raw ABCD NIfTI directory into a BIDS-compliant dataset and generate the participants and dataset description files.
