NeuroAIHub
Review Skills published by NeuroAIHub, their source repositories, maintenance signals, and identity status.
- Skills
- 34
- Repository stars
- 463
- Identity status
- Source-linked
Provenance
Source and identity
- Profile type
- Creator
- Canonical name
- NeuroAIHub
- Public sources
- 1
- License context
- AGPL-3.0
Source entries
Agent Skills from NeuroAIHub
Repository stars and maintenance signals provide context, but do not automatically become an individual Skill's quality score.
NeuroAIHub/BrainPilot
act-r-model-builder
Guides ACT-R cognitive model construction: chunk types, production rules, subsymbolic parameters, and model validation
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
calcium-imaging-analysis-guide
Domain-validated pipeline guidance for calcium imaging data analysis: motion correction, ROI extraction, neuropil correction, spike inference, and quality control
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
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
NeuroAIHub/BrainPilot
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
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
drift-diffusion-model
Expert guidance on selecting, fitting, and evaluating drift-diffusion models for two-choice response time data in cognitive science
NeuroAIHub/BrainPilot
eeg-preprocessing-pipeline-guide
Guides EEG preprocessing: filtering, artifact rejection (ICA/ASR), re-referencing, interpolation
NeuroAIHub/BrainPilot
erp-analysis
Domain-validated pipeline and parameter guidance for event-related potential analysis, from preprocessing through statistical testing
NeuroAIHub/BrainPilot
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
Pinned paths
Every entry links to a specific source path and commit when available.
Repository context
Activity, license, and repository-level popularity are shown as context.
Open the source
Inspect the public repository