What problem does it solve? Working with the HCP Aging (HCP-A) dataset requires coordinating many steps: downloading packages from ConnectomeDB/BALSA, converting the native HCP directory layout to BIDS, running sMRI/fMRI/dMRI/ASL processing pipelines, and merging phenotype data. This Skill orchestrates that entire end-to-end workflow so researchers do not have to manually chain tools together. ## Core Features & Use Cases - Dataset Download Guidance: Walks through BALSA/ConnectomeDB registration, AABC Release 2 package selection, and Aspera transfer planning with storage estimation. - BIDS Staging: Converts HCP-A native directory layouts into BIDS-compliant datasets with subject ID normalization, task mapping, and dataset_description.json generation via scripts/reorganize_hcpa.py. - Multimodal Processing Delegation: Routes structural, functional, diffusion, and ASL MRI processing to dedicated modality skills, plus phenotype extraction and per-subject QC summaries with exclusion lists. - Use Case: A researcher wants to study cognitive decline across the adult lifespan. They ask for the full HCP-A pipeline, receive a numbered execution plan with runtime and storage estimates, confirm it, and get BIDS-staged data, processed derivatives, merged phenotype tables, and QC reports in a clean hcpa_output/ directory. ## Quick Start Ask the agent to download the HCP Aging dataset and run the full multimodal processing pipeline for sMRI, fMRI, and dMRI data.
