neurostorm
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 input modalities (voxel 4D, ROI time series 2D, functional connectivity 2D). Triggers include: 'fMRI', 'NeuroSTORM', 'SwiFT', 'BrainGNN', 'BNT', 'BrainNetCNN', 'LG-GNN', 'Com-BrainTF', 'IBGNN', 'fMRI preprocessing', 'fMRI foundation model', 'ROI time series', 'functional connectiv
npx skills add BioTender-max/awesome-bio-agent-skills --skill neurostorm --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# NeuroSTORM Skill ## Overview `neurostorm-skill` wraps the unified **NeuroSTORM fMRI platform** (CUHK-AIM-Group), which, as of the 2026-05-08 release, ships **8 model implementations** under a single training/fine-tuning entry point. Use this skill for the full lifecycle: data download, preprocessing, pretraining, fine-tuning, and inference. **Supported models (8)** | Model | Input type | Graph? | Backbone | |-------|-----------|--------|----------| | `neurostorm` | voxel (4D) | No | Mamba-SSM | | `swift` | voxel (4D) | No | Swin 4D Transformer | | `braingnn` | FC graph (2D) | Yes | GNN | | `bnt` | FC matrix (2D) | No | Transformer | | `lggnn` | ROI + FC | Yes | Learnable GNN | | `combraintf` | FC matrix (2D) | No | Community-aware Transformer | | `ibgnn` | FC graph (2D) | Yes | Interpretable GNN | | `brainnetcnn` | FC matrix (2D) | No | CNN | **Supported tasks** | ID | Task | |----|------| | 1 | Age & Gender Prediction | | 2 | Phenotype Prediction | | 3 | Disease Diagnosis | | 4 | fMRI Retrieval | | 5 | Task fMRI State Classification | **Supported datasets:** HCP1200, ABCD, UKB, Cobre, ADHD200, HCPA, HCPD, UCLA, HCPEP, HCPTASK, GOD, NSD, BOLD5000. **Dual data formats:** `PT` (fas
- Overview
- Installation
- Workflows
- 1. Data Preprocessing
- 2. Pretraining
- 3. Fine-tuning
- 4. Inference / Demo
- Input / Output Summary
- Testing
- Directory Reference (upstream)
- Reference
git clone https://github.com/CUHK-AIM-Group/NeuroSTORM.git cd NeuroSTORM conda create -n neurostorm python=3.11 conda activate neurostorm source ./set_env.sh pip install -r requirements.txt pip install "setuptools<81" # pytorch-lightning 1.9.4 compat pip install "transformers<=4.39.3" # mamba-ssm compat pip install torch-geometric pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-2.7.0+cu128.html
What does the neurostorm skill do?
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 input modalities (voxel 4D, ROI time series 2D, functional connectivity 2D). Triggers include: 'fMRI', 'NeuroSTORM', 'SwiFT', 'BrainGNN', 'BNT', 'BrainNetCNN', 'LG-GNN', 'Com-BrainTF', 'IBGNN', 'fMRI preprocessing', 'fMRI foundation model', 'ROI time series', 'functional connectiv
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill neurostorm --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.