Add neuropixels-analysis skill for extracellular electrophysiology

Adds comprehensive toolkit for analyzing Neuropixels high-density neural
recordings using SpikeInterface, Allen Institute, and IBL best practices.

Features:
- Data loading from SpikeGLX, Open Ephys, and NWB formats
- Preprocessing pipelines (filtering, phase shift, CAR, bad channel detection)
- Motion/drift estimation and correction
- Spike sorting integration (Kilosort4, SpykingCircus2, Mountainsort5)
- Quality metrics computation (SNR, ISI violations, presence ratio)
- Automated curation using Allen/IBL criteria
- AI-assisted visual curation for uncertain units
- Export to Phy and NWB formats

Supports Neuropixels 1.0 and 2.0 probes.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

docs/scientific-skills.md

@@ -95,6 +95,7 @@
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+- **Neuropixels-Analysis** - Comprehensive toolkit for analyzing Neuropixels high-density neural recordings using SpikeInterface, Allen Institute, and International Brain Laboratory (IBL) best practices. Supports the full workflow from raw data to publication-ready curated units. Key features include: data loading from SpikeGLX, Open Ephys, and NWB formats, preprocessing pipelines (highpass filtering, phase shift correction for Neuropixels 1.0, bad channel detection, common average referencing), motion/drift estimation and correction (kilosort_like and nonrigid_accurate presets), spike sorting integration (Kilosort4 GPU, SpykingCircus2, Mountainsort5 CPU), comprehensive postprocessing (waveform extraction, template computation, spike amplitudes, correlograms, unit locations), quality metrics computation (SNR, ISI violations, presence ratio, amplitude cutoff, drift metrics), automated curation using Allen Institute and IBL criteria with configurable thresholds, AI-assisted visual curation for uncertain units using Claude API, and export to Phy for manual review or NWB for sharing. Supports Neuropixels 1.0 (960 electrodes, 384 channels) and Neuropixels 2.0 (single and 4-shank configurations). Use cases: extracellular electrophysiology analysis, spike sorting from silicon probes, neural population recordings, systems neuroscience research, unit quality assessment, publication-ready neural data processing, and integration of AI-assisted curation for borderline units
 
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