BrainPilot
Review Skills in NeuroAIHub/BrainPilot, with license, maintenance context, and source paths.
- Skills
- 39
- Repository stars
- 424
- Identity status
- Source-linked
Provenance
Source and identity
- Profile type
- Repository
- Canonical name
- BrainPilot
- Public sources
- 1
- License context
- AGPL-3.0
Source entries
Agent Skills from BrainPilot
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
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
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
clinvar-database
Use when needing clinical significance, pathogenicity classifications (e.g., Pathogenic, Benign, VUS), clinical evidence rationales, or finding "hard positive" benchmark controls for human genomic variants.
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-paradigm-designer
Expert guidance for designing EEG paradigms optimized to isolate specific ERP components, with domain-validated timing, trial count, and control condition parameters
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