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neuropixels-analysis

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.

88

1.37x
Quality

86%

Does it follow best practices?

Impact

91%

1.37x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Evaluation results

96%

18%

Neuropixels Recording Preprocessing Script

NP1.0 preprocessing chain

Criteria
Without context
With context

Standard imports

50%

50%

SpikeGLX loader

70%

100%

Phase shift applied

0%

100%

Highpass or bandpass filter

100%

100%

Bad channel detection

100%

100%

Bad channel removal

100%

100%

Median common reference

100%

100%

Parallel processing

100%

100%

Save preprocessed data

100%

100%

No phase shift for NP2

100%

100%

100%

44%

Spike Sorting Pipeline with Drift Handling

Drift assessment and correction

Criteria
Without context
With context

Drift estimated before sorting

57%

100%

Drift visualized

100%

100%

10-micron threshold

100%

100%

kilosort_like for estimation

0%

100%

nonrigid_accurate for correction

0%

100%

Conditional correction

100%

100%

Kilosort4 preference

0%

100%

CPU alternative noted

44%

100%

No whitening before peak detection

100%

100%

78%

14%

Unit Curation Script for Publication-Quality Dataset

Quality metrics and AI curation

Criteria
Without context
With context

Allen presence_ratio threshold

100%

100%

Allen isi_violations threshold

100%

100%

Allen amplitude_cutoff threshold

100%

100%

Uncertain unit SNR range

0%

100%

AI model selection

0%

0%

Metrics-first classification

100%

100%

Analyzer extensions computed

100%

100%

Save quality metrics CSV

100%

100%

Save curation labels JSON

100%

100%

sparse=True analyzer

0%

0%

Repository
K-Dense-AI/claude-scientific-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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