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nwb_conversion

Detect neurophysiology data formats and convert them to NWB via NeuroConv.

1|1|Updated Aug 11, 2025
Search Tags:#conversion#nwb#neurophysiology#neuroconv#electrophysiology#spikeglx
One-click install
npx skills add https://github.com/Python-AI-Solutions/agentic-neurodata-conversion --skill nwb-conversion
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nwb_conversion
Source: https://github.com/Python-AI-Solutions/agentic-neurodata-conversion/tree/main/skill_documentation/nwb_conversion
Command: npx skills add https://github.com/Python-AI-Solutions/agentic-neurodata-conversion --skill nwb-conversion

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires neuroconv, pynwb, hdmf, numpy, pydantic, spikeinterface, neo.

What problem does it solve?

Converting diverse neurophysiology data to NWB is time-consuming and error-prone without standardized pipelines.

Core Features & Use Cases

  • Automatic format detection: Identifies SpikeGLX, OpenEphys, Neuropixels, and more to streamline workflows.
  • NWB conversion via NeuroConv: Handles metadata mapping, file integrity checks, and versioned outputs for DANDI-ready data.
  • Error handling & reconversion: Provides friendly error explanations, automatic cleanup, and retry workflows for robust pipelines.
  • Use Case: A lab transfers a raw Neuropixels or SpikeGLX dataset to NWB with preservation of metadata and a verifiable checksum.

Quick Start

Run the NWB conversion on a dataset folder containing SpikeGLX or OpenEphys data to generate an NWB file and a SHA256 checksum.

Frequently Asked Questions about nwb_conversion

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert SpikeGLX or OpenEphys data to NWB format?▼

You can convert SpikeGLX or OpenEphys data to NWB format by running an automated conversion pipeline that detects the neurophysiology format, maps flat metadata to the NWB schema, and generates versioned, DANDI-ready output files.

What is the best way to prepare DANDI-ready NWB files from raw electrophysiology recordings?▼

The best way to prepare DANDI-ready NWB files is using a NeuroConv-based pipeline that performs metadata mapping, file integrity checks, and generates verifiable SHA256 checksums alongside the final NWB output.

Does NeuroConv support automatic metadata mapping for Neuropixels datasets?▼

Yes, NeuroConv supports automatic metadata mapping for Neuropixels datasets by identifying the source format, extracting flat metadata, and structuring it according to the NWB schema requirements.

Can I retry a failed NWB conversion without losing my mapped metadata?▼

Yes, you can retry a failed NWB conversion because the pipeline includes friendly error explanations, automatic cleanup of incomplete files, and re-conversion workflows to handle uncertainties robustly.

How does automatic format detection work for neurophysiology data?▼

Automatic format detection works by scanning a dataset folder to identify supported neurophysiology formats like SpikeGLX, OpenEphys, and Neuropixels, streamlining the workflow by applying the correct conversion logic without manual configuration.

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