NeuroAIHub/BrainPilot

BrainPilot: Automating Brain Discovery with Agentic Research

633Stars on the repository
95Mods indexed here, across every type
yesterdayLast push, which is what freshness is scored on
AGPL-3.0Licence, which decides whether bodies are shown

mne-python-guide

49

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Domain-validated pipeline guidance for EEG/MEG data analysis using MNE-Python: data loading, preprocessing (filtering, ICA, re-referencing), epoching, ERP/ERF computation, time-frequency decomposition, source localization, decoding/MVPA, statistical testing, simulation, and visualization. Use this skill whenever the…

not rated 633 +76 yesterday A SkillSpector: pass 107 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Advises on functional/effective connectivity methods: PPI, DCM, Granger causality, graph theory.

not rated 633 +76 yesterday A SkillSpector: pass 29 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Domain-validated guidance for fMRI General Linear Model specification: HRF modeling, design matrix construction, contrast definition, confound regression, and statistical inference.

not rated 633 +76 yesterday A SkillSpector: pass 37 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Domain-validated guidance for fMRI preprocessing decisions: motion correction, slice timing, spatial normalization, smoothing, confound regression, and quality control.

not rated 633 +76 yesterday A SkillSpector: pass 36 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Guides fMRI task design: block vs. event-related vs. mixed; jittering; contrasts; power for BOLD detection.

not rated 633 +76 yesterday A SkillSpector: pass 32 tokens AGPL-3.0

fmriprep

54

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Preprocess task-based or resting-state fMRI data with fMRIPrep — a robust, BIDS-App preprocessing pipeline built on FSL, ANTs, FreeSurfer, AFNI, and Nilearn. Use this skill whenever the user asks to preprocess fMRI/BOLD data, run fMRIPrep on a BIDS dataset, set up Docker/Singularity/Apptainer containers for fMRIPrep…

not rated 633 +76 yesterday A SkillSpector: warn 158 tokens AGPL-3.0

netneurotools-guide

55

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Domain-validated guidance for network neuroscience analysis using netneurotools: datasets, brain network metrics, connectivity consensus, modularity, spatial statistics, null models, and cortical surface visualization. Use this skill whenever the user works with brain connectivity matrices, connectomes, graph theory…

not rated 633 +76 yesterday A SkillSpector: pass 172 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Domain-validated methods and decision logic for neural decoding, RSA, temporal generalization, and encoding models in systems neuroscience.

not rated 633 +76 yesterday A SkillSpector: pass 29 tokens AGPL-3.0

pycortex-guide

57

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Domain-validated guidance for cortical surface visualization and brain surface rendering of fMRI data using pycortex: data types (Volume, Vertex, Dataset), 2D cortical flatmaps, 3D WebGL brain viewers, volume-to-surface mapping, FreeSurfer/fMRIPrep integration, ROI management, and surface analysis. Use this skill…

not rated 633 +76 yesterday A SkillSpector: pass 125 tokens AGPL-3.0

act-r-model-builder

58

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Guides ACT-R cognitive model construction: chunk types, production rules, subsymbolic parameters, and model validation.

not rated 633 +76 yesterday A SkillSpector: pass 27 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Domain-validated guidance for building hierarchical Bayesian cognitive models with Stan/PyMC: prior specification, model structure, MCMC diagnostics, and posterior predictive checks.

not rated 633 +76 yesterday A SkillSpector: pass 37 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Guides parameter recovery studies to validate model identifiability before trusting fitted parameter values.

not rated 633 +76 yesterday A SkillSpector: pass 22 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Guides dimensionality reduction and latent-variable analysis of neural populations (PCA, GPFA, dPCA).

not rated 633 +76 yesterday A SkillSpector: pass 30 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Assists building spiking neural network simulations: neuron models, connectivity, plasticity rules.

not rated 633 +76 yesterday A SkillSpector: pass 23 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Retrieve and analyze AlphaFold predicted structures for a protein. Use when the user provides a specific UniProt Accession ID and wants structural confidence metrics (pLDDT), domain boundary analysis, or disorder assessment. Do not use if the user only has a protein name, gene name, or amino acid sequence — ask for a…

not rated 633 +76 yesterday A SkillSpector: pass 80 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Domain-validated pipeline guidance for calcium imaging data analysis: motion correction, ROI extraction, neuropil correction, spike inference, and quality control.

not rated 633 +76 yesterday A SkillSpector: pass 34 tokens AGPL-3.0

gtex-database

65

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when you want to retrieve quantitative RNA expression data and variant eQTL information from the GTEx (Genotype-Tissue Expression) Project across 54 non-diseased tissue sites.

not rated 633 +76 yesterday A SkillSpector: pass 43 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when you want to retrieve semi-quantitative protein expression and spatial localisation data from the Human Protein Atlas (HPA).

not rated 633 +76 yesterday A SkillSpector: pass 33 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Domain-validated decision logic for optogenetic stimulation parameter selection, including opsin choice, light delivery, pulse protocols, fiber placement, and control conditions.

not rated 633 +76 yesterday A SkillSpector: pass 38 tokens AGPL-3.0

pdb-database

68

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Use when you want to search for or download experimentally-determined 3D structures for biomolecules (proteins, nucleic acids, bound ligands). Supports searching by sequence similarity, structure similarity, chemical and other attributes. Also use to get metadata about biomolecular structure experiments.

not rated 633 +76 yesterday A SkillSpector: pass 61 tokens AGPL-3.0

pymol

69

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Visualize, analyze, and render protein and molecular structures using PyMOL. Use when the user wants to create images of protein structures, perform structural alignments or superposition, measure distances or contacts, highlight binding sites or active site residues, color by B-factor/pLDDT, or analyze protein-ligand…

not rated 633 +76 yesterday A SkillSpector: pass 84 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Advises on lesion-symptom mapping methods: VLSM, disconnection analysis, network lesion mapping.

not rated 633 +76 yesterday A SkillSpector: pass 31 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Domain-validated decision logic for selecting neuropsychological test batteries matched to suspected cognitive deficit profiles.

not rated 633 +76 yesterday A SkillSpector: pass 25 tokens AGPL-3.0

NeuroAIHub/BrainPilot

Skill Claude CodeCodex

Designs habituation and preferential-looking paradigms with age-appropriate timing parameters and exclusion criteria.

not rated 633 +76 yesterday A SkillSpector: pass 25 tokens AGPL-3.0

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