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 needs its repo
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 needs its repo
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 needs its repo
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.
Skill Claude CodeCodex
Use this skill when users need to build, populate, or extend a domain-specific knowledge graph from literature and structured databases. Triggers include: 'build knowledge graph', 'extract claims from papers', 'ingest data into graph', 'batch extract claims', 'knowledge graph construction', 'populate graph from…
Skill Claude CodeCodex
Use this model doc whenever the user wants to run LG-GNN (Local-to-Global GNN) for fMRI phenotype prediction. LG-GNN is a PyG-based GNN with SABP (Self-Attention Brain Pooling) and mutual-information regularization. NeuroClaw adapts the original population-graph version to single-subject brain graphs.
Skill Claude CodeCodex
Use this skill whenever the user wants to process MEG (magnetoencephalography) data including source localization, time-frequency analysis, connectivity analysis, sensor-level preprocessing, or MEG-specific feature extraction. Triggers include: 'MEG', 'MEG processing', 'MEG source localization', 'MEG connectivity'…
Skill Claude CodeCodex
Use this skill whenever the user wants to formalize a network architecture and derive theoretical components from a research idea. Triggers include: 'method design', 'design method', 'network architecture', 'formula derivation', 'method-design', 'theoretical framework', 'derive equations', 'compare alternatives'…
Skill Claude CodeCodex
Use this skill whenever the user wants an end-to-end workflow for the Motor Neuron Disease (MND) dataset from OpenNeuro ds005874, including BIDS validation, multimodal processing of rs-fMRI and task-fMRI, phenotype extraction, and QC integration. Triggers include: 'MND', 'Motor Neuron Disease', 'ALS', 'Amyotrophic…
Skill Claude CodeCodex
Use this skill whenever any NeuroClaw modality skill (especially eeg-skill) needs to execute concrete MNE-Python operations for EEG loading, preprocessing, filtering, artifact removal, epoching, frequency-band analysis, or feature extraction. This is the dedicated base/tool skill that contains all specific MNE-Python…
Skill Claude CodeCodex
Use this skill whenever the user wants an end-to-end workflow for the Longitudinal MS Lesion Segmentation Challenge dataset, including data validation, multimodal processing of T1w, T2w, FLAIR, and PD, lesion segmentation, and QC integration. Triggers include: 'MS Lesion Challenge', 'MS Lesion', 'ISBI MS'…
Skill Claude CodeCodex
Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.
Skill Claude CodeCodex
Use this skill whenever the user needs multivariate neuroimaging decoding or spatial statistical maps from ROI or voxel data. It supports ROI MVPA, mass-univariate ROI GLM, and voxel-wise Nilearn SearchLight analysis. Triggers include 'MVPA', 'decoding', 'ROI classifier', 'ROI GLM', 'mass univariate', 'searchlight'…
Skill Claude CodeCodex needs its repo
Use this skill whenever the user wants to run the NeuroSTORM multi-model fMRI platform: preprocessing, pretraining (MAE or contrastive), fine-tuning, inference, or benchmarking. It covers 8 built-in models — NeuroSTORM, SwiFT, BrainGNN, BrainNetworkTransformer (BNT), LG-GNN, Com-BrainTF, IBGNN, BrainNetCNN — across 3…
Skill Claude CodeCodex
Use this skill whenever NeuroClaw needs concrete nibabel operations for neuroimaging files: loading and validating NIfTI images, inspecting shapes and affine matrices, saving derived images, converting voxel coordinates to MNI/world coordinates, or reading FreeSurfer geometry and annotation files. Triggers include…
Skill Claude CodeCodex
Use this skill whenever the user wants an end-to-end workflow for the Neuroimaging in Frontotemporal Dementia (NIFD) dataset, including BIDS validation, multimodal processing of sMRI, rs-fMRI, and dMRI, phenotype extraction, and QC integration. Triggers include: 'NIFD', 'frontotemporal dementia', 'FTD', 'bvFTD'…
Skill Claude CodeCodex
Use this skill whenever the user wants to convert NIfTI files (.nii or .nii.gz) to DICOM format, create DICOM series from processed neuroimaging results, write segmentation/registration/analysis outputs back to DICOM for PACS compatibility or clinical viewer comparison, or transfer metadata from reference DICOM files.…
Skill Claude CodeCodex needs its repo
Use this skill whenever any NeuroClaw fMRI modality skill needs to execute concrete Nilearn operations: ROI/atlas time-series extraction, confounds handling (fMRIPrep), seed-based connectivity maps, ROI-to-ROI connectivity matrices, and optional GLM/decoding utilities. This is the dedicated base/tool skill that…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: