haoxuanlithuai
45 verified skills810 total stars
parameter-recovery-checker
Guides parameter recovery studies to validate model identifiability before trusting fitted parameter values
development18
calcium-imaging-analysis-guide
Domain-validated pipeline guidance for calcium imaging data analysis: motion correction, ROI extraction, neuropil correction, spike inference, and quality control
testing18
bayesian-cognitive-model-builder
Domain-validated guidance for building hierarchical Bayesian cognitive models with Stan/PyMC: prior specification, model structure, MCMC diagnostics, and posterior predictive checks
development18
brain-connectivity-modeler
Advises on functional/effective connectivity methods: PPI, DCM, Granger causality, graph theory
data-ai18
cogsci-visualization
Domain-specific visualization best practices for cognitive and neuroscience data, encoding plot type selection, color standards, and publication formatting
development18
contribute-skill
One-command skill contribution — generate a SKILL.md from your domain expertise and submit to GitHub Issues for maintainer review
data-ai18
cogsci-statistics
Domain-specific statistical modeling guidance for cognitive science and neuroscience, encoding when and how to apply mixed models, correction methods, Bayesian approaches, and effect size reporting
testing18
divergent-thinking-scoring
Domain-validated multi-dimensional scoring system for divergent thinking tasks, including fluency, flexibility, originality, and automated semantic distance methods
testing18
fmri-glm-analysis-guide
Domain-validated guidance for fMRI General Linear Model specification: HRF modeling, design matrix construction, contrast definition, confound regression, and statistical inference
testing18
neuroimaging-power-guide
Sample-size planning for fMRI/EEG studies using effect-size benchmarks and simulation-based power
documentation18
act-r-model-builder
Guides ACT-R cognitive model construction: chunk types, production rules, subsymbolic parameters, and model validation
development18
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
testing18
cogsci-power-analysis
Domain-specific statistical power analysis guidance for cognitive and neuroscience research, encoding effect size priors and sample size recommendations by modality
testing18
creativity-self-efficacy-mediation
Domain-validated guidance for SEM-based mediation analysis of creative self-efficacy and moderation by baseline creativity in AI-augmented creativity research
testing18
drift-diffusion-model
Expert guidance on selecting, fitting, and evaluating drift-diffusion models for two-choice response time data in cognitive science
testing18
eeg-paradigm-designer
Expert guidance for designing EEG paradigms optimized to isolate specific ERP components, with domain-validated timing, trial count, and control condition parameters
testing18
eeg-preprocessing-pipeline-guide
Guides EEG preprocessing: filtering, artifact rejection (ICA/ASR), re-referencing, interpolation
testing18
fmri-preprocessing-pipeline-guide
Domain-validated guidance for fMRI preprocessing decisions: motion correction, slice timing, spatial normalization, smoothing, confound regression, and quality control
testing18
infant-looking-time-designer
Designs habituation and preferential-looking paradigms with age-appropriate timing parameters and exclusion criteria
content-media18
lesion-symptom-mapping-guide
Advises on lesion-symptom mapping methods: VLSM, disconnection analysis, network lesion mapping
documentation18
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.
development18
neural-decoding-analysis
Domain-validated methods and decision logic for neural decoding, RSA, temporal generalization, and encoding models in systems neuroscience
testing18
neural-population-analysis-guide
Guides dimensionality reduction and latent-variable analysis of neural populations (PCA, GPFA, dPCA)
documentation18
optogenetics-protocol-designer
Domain-validated decision logic for optogenetic stimulation parameter selection, including opsin choice, light delivery, pulse protocols, fiber placement, and control conditions
testing18
paper-to-skill
Interactive skill that guides extraction of research paradigms and methodological techniques from cognitive science papers into structured, reusable skills
testing18
pycortex-guide
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 whenever the user mentions pycortex, `import cortex`, cortical surfaces, brain flatmaps, WebGL brain viewers, cortical surface mapping, or wants to visualize neuroimaging data on the cortex, even if they don't explicitly name pycortex.
development18
self-paced-reading-designer
Expert guidance for designing self-paced reading experiments: region segmentation, timing parameters, comprehension probes, and spillover analysis
content-media18
sentence-stimulus-norming
Specifies norming procedures for linguistic stimuli including cloze probability, plausibility ratings, acceptability judgments, and lexical controls
testing18
share-case
One-command community case sharing — capture research context from your session and submit to GitHub Discussions
research18
spiking-network-model-builder
Assists building spiking neural network simulations: neuron models, connectivity, plasticity rules
development18
verify-skill
Interactive skill verification — assess accuracy of parameters, citations, and methodology through structured expert review
testing18
visual-search-array-generator
Specifies display parameters, set sizes, target-distractor similarity, and randomization constraints for visual search experiments
testing18
cognitive-paradigm-design
Expert guidance for selecting and parameterizing cognitive psychology experimental paradigms based on research questions
content-media18
fmri-task-design-guide
Guides fMRI task design: block vs. event-related vs. mixed; jittering; contrasts; power for BOLD detection
documentation18
reading-time-analysis
Guides analysis of eye-tracking reading measures including first fixation, gaze duration, regression path, and total reading time
documentation18
share-usage
Generate and share anonymized skill usage statistics to help the community understand which skills are most valuable
tools18
tom-task-selector
Selects Theory of Mind tasks matched to target population, age, and construct with psychometric guidance
tools18
evidence-accumulation-selector
Advises on when to use DDM vs. LBA vs. race models for choice-RT data based on experimental design and research goals
development18
research-literacy
Core scientific methodology principles: research planning, method justification, assumption checking, and human-in-the-loop decision making for cognitive science and neuroscience
testing18
neuroimaging-sample-size-calculator
Simulation-based sample-size planning for neuroimaging studies using effect-size maps
tools18
signal-detection-analysis
Domain-validated decision logic, formulas, and interpretation guidelines for applying Signal Detection Theory to cognitive science data
testing18
erp-analysis
Domain-validated pipeline and parameter guidance for event-related potential analysis, from preprocessing through statistical testing
testing18
neuropsych-battery-selector
Domain-validated decision logic for selecting neuropsychological test batteries matched to suspected cognitive deficit profiles
testing18
contribute-skills-via-pr
Step-by-step guidance for contributing a new skill to the NeuroAIHub/awesome_cognitive_and_neuroscience_skills repository via GitHub Pull Request, including SKILL.md format requirements, quality rules, and PR checklist
development18
repo-to-skill
Convert a GitHub repository or local codebase into a well-structured Claude Code skill with progressive disclosure. Use this skill whenever the user provides a GitHub URL or local repo path and asks to turn it into a skill, create a skill from a repo, or convert a library/tool/framework into reusable skill documentation. Also trigger when users say things like 'make a skill from this repo', 'turn this codebase into a skill', or 'I want a skill for [library name]'.
tools18