What problem does it solve? Processing the Cam-CAN neuroimaging dataset requires coordinating BIDS validation, multimodal MRI and MEG pipelines, phenotype extraction, and quality control, which is error-prone when done manually across separate tools. ## Core Features & Use Cases - BIDS Validation: Checks Cam-CAN directory structure, modality completeness, sidecar JSON presence, and participant ID consistency, producing a compliance CSV report. - Multimodal Delegation: Routes structural MRI, resting-state and movie-watching fMRI, MEG, and diffusion MRI processing to dedicated modality skills with a confirmed execution plan. - Phenotype and QC Integration: Merges cognitive, sensory, and health phenotype tables and generates per-subject QC summaries with exclusion recommendations based on framewise displacement thresholds. - Use Case: A researcher downloads Cam-CAN from OpenNeuro ds003097 and asks for a full lifespan aging analysis; the skill validates the BIDS layout, plans the pipeline, delegates each modality, and outputs organized derivatives under camcan_output/. ## Quick Start Ask the agent to validate and process your local Cam-CAN BIDS dataset, including fMRI, MEG, and phenotype extraction, and wait for the numbered execution plan before confirming.
