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neuropixels-analysis

8.1

by K-Dense-AI

104Favorites
392Upvotes
0Downvotes

Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis, for Neuropixels 1.0/2.0 extracellular electrophysiology. Use when working with neural recordings, spike sorting, extracellular electrophysiology, or when the user mentions Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, or unit curation.

neuroscience

8.1

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0

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Data & Analytics

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Quick Review

Excellent skill for Neuropixels neural recording analysis. The description clearly covers capabilities (data loading, preprocessing, spike sorting, quality metrics, curation) with appropriate trigger keywords. Task knowledge is comprehensive with complete code examples, best practices, parameter guidance, and references to detailed documentation in other files. Structure is well-organized with clear sections, quick start guide, workflow overview, and index to reference materials. High novelty: spike sorting and neural data analysis are computationally expensive, domain-specific tasks requiring specialized knowledge of formats, algorithms, quality metrics, and curation standards that would consume many tokens and require significant expertise from a CLI agent alone. The skill bundles complex neuroscience workflows (Kilosort4, motion correction, Allen/IBL curation criteria, AI-assisted analysis) into a cohesive toolkit with appropriate abstractions. Minor deduction for structure: SKILL.md is somewhat lengthy (could be more concise with more details delegated to references), though it remains navigable and the length is justified by the complexity.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty9

GitHub Signals

6,861
817
49
3
Last commit 1 days ago

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K-Dense-AI

K-Dense-AI

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