Skill Claude CodeCodex
Use this skill whenever the user wants an end-to-end workflow for the HCP Aging (HCP-A) dataset, including dataset download, BIDS organization, and multimodal processing of sMRI, fMRI, and dMRI. Triggers include: 'HCP Aging', 'HCP-A', 'process HCP Aging data', 'HCP Aging sMRI fMRI', or any request to run the HCP-A…
Skill Claude CodeCodex
Use this skill whenever the user wants an end-to-end workflow for the HCP Development (HCP-D) dataset, including dataset download, BIDS organization, and multimodal processing of sMRI, fMRI, and dMRI. Triggers include: 'HCP Development', 'HCP-D', 'process HCP Development data', 'HCP Development sMRI fMRI', or any…
Skill Claude CodeCodex
Use this skill whenever the user wants an end-to-end workflow for the HCP Early Psychosis (HCP-EP) dataset, including dataset download, BIDS organization, and multimodal processing of sMRI, fMRI, and dMRI. Triggers include: 'HCP Early Psychosis', 'HCP-EP', 'process HCP Early Psychosis data', 'HCP EP sMRI fMRI', or any…
Skill Claude CodeCodex
Use this skill whenever the user wants to perform high-quality, HCP-style preprocessing of multimodal MRI data (structural, functional, diffusion) using the official HCP Pipelines. Triggers include: 'HCP pipeline', 'HCP preprocessing', 'hcp-fmri', 'hcp-dwi', 'hcp-structural', 'MSMAll', 'ICA-FIX', 'bedpostx'…
Skill Claude CodeCodex
Use this skill whenever the user wants an end-to-end workflow for the HCP Young Adult (HCP-YA / HCP1200) dataset, including dataset download, BIDS organization, and multimodal processing of sMRI, fMRI, and dMRI. Triggers include: 'HCP Young Adult', 'HCP-YA', 'HCP1200', 'process HCP data', 'HCP sMRI fMRI DTI', or any…
Skill Claude CodeCodex
Use this model doc whenever the user wants to perform brain parcellation using Hierarchical clustering. This is a non-deep-learning unsupervised route focused on multi-scale parcel discovery, voxel or vertex grouping, and atlas-like region generation from neuroimaging features.
Skill Claude CodeCodex
Use this model doc whenever the user wants to run IBGNN (Interpretable Brain Graph Neural Network) for fMRI phenotype prediction. IBGNN is a PyG-based GNN with a learnable MLP message function over [xi, xj, edgeattr], designed for connectome-based brain disorder analysis with post-hoc edge-mask explainer support.
Skill Claude CodeCodex
Use this model doc whenever the user wants to perform resting-state network decomposition using ICA. This is a non-deep-learning unsupervised route focused on extracting intrinsic connectivity networks, component maps, and subject-level time series from resting-state fMRI.
Skill Claude CodeCodex
Use this skill whenever the user needs imaging-genetics analysis: variant-imaging association scans, kinship-aware linear mixed models, polygenic or pathway scores, PLS/CCA links between genotype and imaging phenotypes, or audited PLINK2 command construction. Triggers include 'imaging genetics', 'GWAS', 'PLINK2'…
Skill Claude CodeCodex
Use this skill whenever the user wants an end-to-end workflow for the IXI (Information eXtraction from Images) dataset, including data download, BIDS organization, and multimodal processing of T1w, T2w, and MRA. Triggers include: 'IXI', 'IXI dataset', 'process IXI data', 'IXI MRI', or any request to run the IXI…
Skill Claude CodeCodex
Use this skill whenever the user wants knowledge-graph embeddings or graph neural link prediction over NeuroOracle: ComplEx, R-GCN, GraphSAGE, or GAT encoders; relation-aware triple scoring; filtered MRR/Hits evaluation; or hypothesis plausibility features. Triggers include 'KG embedding', 'link prediction'…
Skill Claude CodeCodex
Use this model doc whenever the user wants to perform brain parcellation using K-means. This is a non-deep-learning unsupervised route focused on parcel discovery, voxel or vertex grouping, and atlas-like region generation from neuroimaging features.