Agent Skills catalog · page 98
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NeuroAIHub/BrainPilot
fmriprep
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, choose output spaces (MNI152NLin2009cAsym, fsaverage, fsLR/CIFTI), configure susceptibility distortion correction (SDC), extract or interpret the confounds table, resample to surfac
NeuroAIHub/BrainPilot
infant-looking-time-designer
Designs habituation and preferential-looking paradigms with age-appropriate timing parameters and exclusion criteria
NeuroAIHub/BrainPilot
mne-python-guide
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 user works with EEG/MEG/sEEG/ECoG/NIRS/eye-tracking data in Python, mentions MNE, or needs neurophysiological analysis guidance.
NeuroAIHub/BrainPilot
neuroimaging-power-guide
Sample-size planning for fMRI/EEG studies using effect-size benchmarks and simulation-based power
NeuroAIHub/BrainPilot
paper-to-skill
Interactive skill that guides extraction of research paradigms and methodological techniques from cognitive science papers into structured, reusable skills
NeuroAIHub/BrainPilot
parameter-recovery-checker
Guides parameter recovery studies to validate model identifiability before trusting fitted parameter values
NeuroAIHub/BrainPilot
reading-time-analysis
Guides analysis of eye-tracking reading measures including first fixation, gaze duration, regression path, and total reading time
NeuroAIHub/BrainPilot
sentence-stimulus-norming
Specifies norming procedures for linguistic stimuli including cloze probability, plausibility ratings, acceptability judgments, and lexical controls
NeuroAIHub/BrainPilot
tom-task-selector
Selects Theory of Mind tasks matched to target population, age, and construct with psychometric guidance
NeuroAIHub/BrainPilot
cogsci-power-analysis
Domain-specific statistical power analysis guidance for cognitive and neuroscience research, encoding effect size priors and sample size recommendations by modality
NeuroAIHub/BrainPilot
divergent-thinking-scoring
Domain-validated multi-dimensional scoring system for divergent thinking tasks, including fluency, flexibility, originality, and automated semantic distance methods
NeuroAIHub/BrainPilot
share-case
One-command community case sharing — capture research context from your session and submit to GitHub Discussions
NeuroAIHub/BrainPilot
alternative-uses-task-designer
Domain-validated guidance for designing Alternative Uses Task (AUT) experiments measuring divergent thinking, with parameters for AI-augmented and traditional conditions
NeuroAIHub/BrainPilot
brain-connectivity-modeler
Advises on functional/effective connectivity methods: PPI, DCM, Granger causality, graph theory
NeuroAIHub/BrainPilot
erp-analysis
Domain-validated pipeline and parameter guidance for event-related potential analysis, from preprocessing through statistical testing
NeuroAIHub/BrainPilot
neural-decoding-analysis
Domain-validated methods and decision logic for neural decoding, RSA, temporal generalization, and encoding models in systems neuroscience
NeuroAIHub/BrainPilot
neural-population-analysis-guide
Guides dimensionality reduction and latent-variable analysis of neural populations (PCA, GPFA, dPCA)
NeuroAIHub/BrainPilot
neuroimaging-sample-size-calculator
Simulation-based sample-size planning for neuroimaging studies using effect-size maps
NeuroAIHub/BrainPilot
signal-detection-analysis
Domain-validated decision logic, formulas, and interpretation guidelines for applying Signal Detection Theory to cognitive science data
NeuroAIHub/BrainPilot
spiking-network-model-builder
Assists building spiking neural network simulations: neuron models, connectivity, plasticity rules
bitwize-music-studio/claude-ai-music-skills
lyric-refiner
Autonomous multi-pass lyric refinement for tightening, cohesion, and album unity. Use after lyrics are written to polish a track or entire album through iterative passes.
bitwize-music-studio/claude-ai-music-skills
album-conceptualizer
Designs album concepts, tracklist architecture, and thematic planning through 7 structured phases. Use when planning a new album or reworking an existing album concept.
bitwize-music-studio/claude-ai-music-skills
suno-engineer
Constructs technical Suno V5/V5.5 style prompts, selects genres, and optimizes generation settings. Use when creating or refining Suno prompts for track generation.
bitwize-music-studio/claude-ai-music-skills
promo-writer
Generates platform-specific social media copy from album themes, track concepts, and lyrics. Use when promo/ templates need to be populated before release.