What problem does it solve? Processing the HCP Development (HCP-D) dataset requires coordinating ConnectomeDB downloads, BIDS reorganization, and separate sMRI, fMRI, and dMRI pipelines, which is error-prone when done manually across hundreds of pediatric subjects. ## Core Features & Use Cases - End-to-End Orchestration: Plans and delegates the full HCP-D workflow from ConnectomeDB download through BIDS staging to modality-specific processing via dedicated skills. - BIDS Reorganization: Converts HCP-D native directory layouts into BIDS-compliant datasets with task mapping, sidecar metadata, and dataset_description.json generation. - Phenotype Extraction and QC: Merges developmental, cognitive, and behavioral phenotype tables and generates per-subject QC summaries with pediatric-adjusted motion thresholds. - Use Case: A researcher downloads 200 HCP-D subjects, stages them into BIDS format, runs structural and functional MRI preprocessing, and produces a merged phenotype CSV plus an exclusion list of high-motion subjects. ## Quick Start Ask the agent to download the HCP Development dataset from ConnectomeDB, convert it to BIDS format, and run the full sMRI, fMRI, and dMRI processing pipeline.
