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Research & Science · By NeuroAIHub
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 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 | 8 days ago |
| 2 | 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 | 8 days ago |
| 3 | 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 | 8 days ago |
| 4 | Simulation-based sample-size planning for neuroimaging studies using effect-size maps | NeuroAIHub/ | 1.1k | — | ~5.2k | Automated safety check: Pass | AGPL-3.0 | 8 days ago |
| 5 | 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 | 8 days ago |
| 6 | 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 | 8 days ago |
| 7 | Audit numeric, artifact, log, citation, and cross-report claims against inspectable evidence. | NeuroAIHub/ | 1.1k | — | ~474 | Automated safety check: Pass | AGPL-3.0 | 8 days ago |
| 8 | Research a bounded factual, documentation, API, or literature question from authoritative sources and save a self-contained Markdown report with claim-level citations. | NeuroAIHub/ | 1.1k | — | ~503 | Automated safety check: Pass | AGPL-3.0 | 8 days ago |
