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By NeuroAIHub
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Toolbox for markerless animal pose estimation with DeepLabCut. | NeuroAIHub/ | 1.1k | — | ~1.7k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 2 | 2.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. | NeuroAIHub/ | 1.1k | — | ~4.1k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 3 | 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… | NeuroAIHub/ | 1.1k | — | ~2.3k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 4 | Domain-validated guidance for network neuroscience analysis using netneurotools: datasets, brain network metrics, connectivity consensus, modularity, spatial statistics, null models, and cortical… | NeuroAIHub/ | 1.1k | — | ~2.6k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 5 | Submission-grade Nature/high-impact journal figure workflow for Python or R. | NeuroAIHub/ | 1.1k | 1 repo | ~1.3k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 6 | 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… | NeuroAIHub/ | 1.1k | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 7 | Guide AI agents to write beautifully formatted, well-illustrated Markdown reports with proper structure, diagrams, and compatibility across GitHub and Obsidian. | NeuroAIHub/ | 1.1k | — | ~2.6k | Automated safety check: Warn | AGPL-3.0 | 6 days ago |
| 8 | Convert a GitHub repository or local codebase into a well-structured Claude Code skill with progressive disclosure. | NeuroAIHub/ | 1.1k | — | ~2.5k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 9 | Guides ACT-R cognitive model construction: chunk types, production rules, subsymbolic parameters, and model validation | NeuroAIHub/ | 1.1k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 10 | Domain-validated guidance for designing Alternative Uses Task (AUT) experiments measuring divergent thinking, with parameters for AI-augmented and traditional conditions | NeuroAIHub/ | 1.1k | — | ~3k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 11 | Coordinate iterative evidence and reliability reviews between BrainPilot's Principal Investigator and Auditor. | NeuroAIHub/ | 1.1k | — | ~467 | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 12 | Domain-validated pipeline guidance for calcium imaging data analysis: motion correction, ROI extraction, neuropil correction, spike inference, and quality control | NeuroAIHub/ | 1.1k | — | ~4.4k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 13 | Domain-specific statistical power analysis guidance for cognitive and neuroscience research, encoding effect size priors and sample size recommendations by modality | NeuroAIHub/ | 1.1k | — | ~3.4k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 14 | Domain-validated guidance for SEM-based mediation analysis of creative self-efficacy and moderation by baseline creativity in AI-augmented creativity research | NeuroAIHub/ | 1.1k | — | ~3.5k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 15 | Curate BrainPilot Trace Events into human-readable research Episodes, appropriately granular nodes, and direct dependson relationships. | NeuroAIHub/ | 1.1k | — | ~1.1k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 16 | Domain-validated multi-dimensional scoring system for divergent thinking tasks, including fluency, flexibility, originality, and automated semantic distance methods | NeuroAIHub/ | 1.1k | — | ~3.5k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 17 | Expert guidance on selecting, fitting, and evaluating drift-diffusion models for two-choice response time data in cognitive science | NeuroAIHub/ | 1.1k | — | ~3k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 18 | 18.Erp Analysis Domain-validated pipeline and parameter guidance for event-related potential analysis, from preprocessing through statistical testing | NeuroAIHub/ | 1.1k | — | ~2.8k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 19 | Advises on when to use DDM vs. An agent skill from NeuroAIHub/BrainPilot. | NeuroAIHub/ | 1.1k | — | ~4.8k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 20 | Domain-validated guidance for fMRI preprocessing decisions: motion correction, slice timing, spatial normalization, smoothing, confound regression, and quality control | NeuroAIHub/ | 1.1k | — | ~4.7k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 21 | Guides fMRI task design: block vs. An agent skill from NeuroAIHub/BrainPilot. | NeuroAIHub/ | 1.1k | — | ~4.2k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 22 | Designs habituation and preferential-looking paradigms with age-appropriate timing parameters and exclusion criteria | NeuroAIHub/ | 1.1k | — | ~4.5k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 23 | Domain-validated methods and decision logic for neural decoding, RSA, temporal generalization, and encoding models in systems neuroscience | NeuroAIHub/ | 1.1k | — | ~4.9k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 24 | Guides dimensionality reduction and latent-variable analysis of neural populations (PCA, GPFA, dPCA) | NeuroAIHub/ | 1.1k | — | ~4.5k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 25 | Sample-size planning for fMRI/EEG studies using effect-size benchmarks and simulation-based power | NeuroAIHub/ | 1.1k | — | ~5k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 26 | Guides parameter recovery studies to validate model identifiability before trusting fitted parameter values | NeuroAIHub/ | 1.1k | — | ~3.8k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 27 | Guides analysis of eye-tracking reading measures including first fixation, gaze duration, regression path, and total reading time | NeuroAIHub/ | 1.1k | — | ~4.8k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 28 | Domain-validated decision logic, formulas, and interpretation guidelines for applying Signal Detection Theory to cognitive science data | NeuroAIHub/ | 1.1k | — | ~4k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 29 | Assists building spiking neural network simulations: neuron models, connectivity, plasticity rules | NeuroAIHub/ | 1.1k | — | ~5.1k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 30 | Audit whether method discovery, comparison, representative real-data validation, collapse diagnostics, pruning, and selection evidence support claims of suitability or superiority. | NeuroAIHub/ | 1.1k | — | ~1.7k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 31 | Advises on functional/effective connectivity methods: PPI, DCM, Granger causality, graph theory | NeuroAIHub/ | 1.1k | — | ~6k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 32 | 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/ | 1.1k | — | ~5.3k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 33 | One-command skill contribution — generate a SKILL.md from your domain expertise and submit to GitHub Issues for maintainer review | NeuroAIHub/ | 1.1k | — | ~2.3k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 34 | Step-by-step guidance for contributing a new skill to the NeuroAIHub/awesomecognitiveandneuroscienceskills repository via GitHub Pull Request, including SKILL.md format requirements, quality rules… | NeuroAIHub/ | 1.1k | — | ~1.8k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 35 | Guides EEG preprocessing: filtering, artifact rejection (ICA/ASR), re-referencing, interpolation | NeuroAIHub/ | 1.1k | — | ~5.9k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 36 | Domain-validated guidance for fMRI General Linear Model specification: HRF modeling, design matrix construction, contrast definition, confound regression, and statistical inference | NeuroAIHub/ | 1.1k | — | ~5.8k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 37 | Advises on lesion-symptom mapping methods: VLSM, disconnection analysis, network lesion mapping | NeuroAIHub/ | 1.1k | — | ~5.3k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 38 | Simulation-based sample-size planning for neuroimaging studies using effect-size maps | NeuroAIHub/ | 1.1k | — | ~5.2k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 39 | Interactive skill that guides extraction of research paradigms and methodological techniques from cognitive science papers into structured, reusable skills | NeuroAIHub/ | 1.1k | — | ~6k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 40 | Expert guidance for designing self-paced reading experiments: region segmentation, timing parameters, comprehension probes, and spillover analysis | NeuroAIHub/ | 1.1k | — | ~5.2k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 41 | Specifies norming procedures for linguistic stimuli including cloze probability, plausibility ratings, acceptability judgments, and lexical controls | NeuroAIHub/ | 1.1k | — | ~5.8k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 42 | 42.Share Case One-command community case sharing — capture research context from your session and submit to GitHub Discussions | NeuroAIHub/ | 1.1k | — | ~1.9k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 43 | 43.Share Usage Generate and share anonymized skill usage statistics to help the community understand which skills are most valuable | NeuroAIHub/ | 1.1k | — | ~3.2k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 44 | Domain knowledge for building extracellular electrophysiology pipelines with SpikeInterface: loading data with extractors, preprocessing, running spike sorters, post-processing via SortingAnalyzer… | NeuroAIHub/ | 1.1k | — | ~6.5k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 45 | Selects Theory of Mind tasks matched to target population, age, and construct with psychometric guidance | NeuroAIHub/ | 1.1k | — | ~5.7k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 46 | 46.Verify Skill Interactive skill verification — assess accuracy of parameters, citations, and methodology through structured expert review | NeuroAIHub/ | 1.1k | — | ~3.2k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 47 | Expert guidance for selecting and parameterizing cognitive psychology experimental paradigms based on research questions | NeuroAIHub/ | 1.1k | — | ~3.9k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
| 48 | Domain-specific visualization best practices for cognitive and neuroscience data, encoding plot type selection, color standards, and publication formatting | NeuroAIHub/ | 1.1k | — | ~4.6k | Automated safety check: Pass | AGPL-3.0 | 6 days ago |
