NeuroAIHubOfficial·41 Agent Skills Included

awesome_cognitive_and_neuroscience_skills

Expert methodology guidance for cognitive science and neuroscience research

Guides researchers through experimental design, data preprocessing, statistical modeling, and analysis for EEG, fMRI, behavioral, and computational neuroscience studies. Eliminates hours of manual literature searching by encoding validated parameters, decision trees, and pitfall warnings from published methods papers. Covers 50 research workflows including ERP analysis, drift-diffusion modeling, power analysis, and neuroimaging pipelines.

34|5

↗

npx skills add NeuroAIHub/awesome_cognitive_and_neuroscience_skills --all -g -y

All Skills in This Repository (41)

Pure Emerald Level Indicators

📦 In Repo

NeuroAIHub

Contribute Skill

Generate and submit SKILL.md files for research methodology skills.

Neural Population Decoding Analysis

Design and validate multivariate neural decoding analyses for EEG, MEG, or fMRI population data.

Evidence Accumulation Model Selector

Guide researchers in selecting evidence accumulation models for choice response-time data.

Bayesian Cognitive Model Builder

Construct hierarchical Bayesian cognitive models with pooling, priors, and MCMC diagnostics.

Neuroimaging Sample Size Calculator

Simulate neuroimaging sample size planning with effect-size maps and pipeline corrections.

EEG Preprocessing Pipeline Guide

Guide EEG preprocessing pipelines for filtering, artifact rejection, and referencing.

fMRI Preprocessing Pipeline Guide

Guide fMRI preprocessing decisions for motion correction, normalization, and QC workflows.

Neuropsychological Battery Selector

Select neuropsychological test batteries matched to referral questions and deficit profiles.

Lesion-Symptom Mapping Guide

Plan lesion-symptom mapping workflows with confound controls for VLSM and network analyses.

Cognitive Paradigm Design

Translate cognitive research questions into parameterized experimental paradigms with controls and analysis guidance.

Divergent Thinking Scoring

Score divergent thinking responses using fluency, flexibility, originality, elaboration, and semantic distance metrics.

Parameter Recovery Checker

Validate parameter recovery for computational cognitive models under planned experimental designs.

Official

Advanced

Frequently Asked Questions

FAQPage Schema

How to install awesome_cognitive_and_neuroscience_skills?▼

Run `npx skills add NeuroAIHub/awesome_cognitive_and_neuroscience_skills --all -g -y` in your terminal to install all 50 research skills globally.

What research tasks do these skills cover?▼

They cover EEG/ERP preprocessing, fMRI pipelines and GLM analysis, cognitive paradigm design, Bayesian and drift-diffusion modeling, power analysis, statistics, and publication-quality visualization.

Can I trust the parameters in these skills?▼

All skills are AI-generated from academic literature with automated hallucination checks, but you must independently verify every parameter and citation before using them in real research.

Do these skills work with Claude Code?▼

Yes. All skills follow the standard SKILL.md format and activate automatically in Claude Code when you ask research methodology questions.

Can I contribute or verify a skill?▼

Yes. Built-in meta-skills let you contribute new skills via GitHub Issues, verify existing skills through structured expert review, and share usage cases with the community.