NeuroAIHub
Official@neuroaihub
Offers standardized research methodology, computational modeling, and neuroimaging analysis protocols for cognitive science and neuroscience experimental design.
Agent Skills by NeuroAIHub
Showing 84 vetted skills indexed across 2 GitHub repositories.
paper-to-skill
Extract experimental designs and analysis pipelines from cognitive science papers.
repo-to-skill
Convert GitHub repositories or local codebases into structured Claude Code skills.
share-usage
Analyzes local Claude Code logs to create anonymized usage statistics for skill repositories.
contribute-skills-via-pr
Standardize cognitive and neuroscience skill contributions to NeuroAIHub via GitHub pull requests.
workflow-skill-creator
Distill completed user workflows into structured, reusable agent skills.
pubchem-database
Query the PubChem API for chemical identifiers, properties, and bioactivity data.
openfda-database
Query and download regulatory data from 28 openFDA API endpoints.
chembl-database
Query the ChEMBL REST API for molecules, targets, and bioactivity data.
opentargets-database
Query the Open Targets Platform GraphQL API for disease-associated evidence.
clinical-trials-database
Query the ClinicalTrials.gov API v2 for structured trial data by condition and intervention.
deeplabcut
Automate markerless animal pose estimation and behavioral tracking from video data.
dbsnp-database
Query NCBI dbSNP to resolve genetic variants and retrieve clinical significance.
alphagenome-single-variant-analysis
Analyze non-coding variant effects on expression, chromatin, and splicing via AlphaGenome API.
clinvar-database
Query NCBI ClinVar for variant clinical significance and genomic evidence.
gnomad-database
Query gnomAD for allele frequencies, gene constraint metrics, and variant lists.
spikeinterface-skill
Automate extracellular electrophysiology pipelines with SpikeInterface for preprocessing, sorting, and curation.
human-protein-atlas-database
Retrieve protein expression and subcellular localization data from the Human Protein Atlas.
pymol
Render protein structures and analyze molecular interactions via headless PyMOL.
alphafold-database-fetch-and-analyze
Fetches AlphaFold mmCIF structures and PAE matrices for UniProt IDs and analyzes them for confidence and domains.
gtex-database
Retrieve RNA expression baselines and eQTL associations from the GTEx Portal API.
pdb-database
Search RCSB Protein Data Bank and download structure files via API.
tom-task-selector
Select Theory of Mind assessment tasks by age, population, and cognitive constructs.
uv
Install and configure the uv Python package manager on the system PATH.
markdown-report-writing
Standardize Markdown documentation with a three-layer writing model for GitHub and Obsidian.
Frequently Asked Questions About NeuroAIHub
FAQPage SchemaWhat research tasks can I perform using NeuroAIHub?▼
You can perform cognitive paradigm design, hierarchical Bayesian model construction, neuroimaging preprocessing, and multi-omic database querying. The platform provides structured guidance for ERP analysis, neural population decoding, and psychometric battery selection for clinical research.
Who is the target audience for these research methodologies?▼
The platform is designed for cognitive scientists, neuroscientists, and computational researchers. It supports investigators needing standardized protocols for experimental design, statistical power analysis, and reproducible data processing pipelines in academic or clinical research environments.
What are the prerequisites for running these analysis pipelines?▼
Users require a local environment configured with standard research software like MNE-Python, SpikeInterface, or fMRIPrep. Additionally, access to specific domain databases like PubChem, ClinVar, or the Human Protein Atlas is necessary for data retrieval tasks.