spikeinterface-electrophysiology SKILL.md skillA

spikeinterface-electrophysiology from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jaechang-hits/sciagent-skills/spikeinterface-electrophysiology@git:20260428.81ea2d2

Pins git:20260428.81ea2d2 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jaechang-hits/sciagent-skills
Path
skills/scientific-computing/spikeinterface-electrophysiology/SKILL.md
Versions recorded
2
Latest version
git:20260428.81ea2d2, committed Apr 28, 2026
First version recorded
Feb 18, 2026
Size
31,474 bytes
Repository stars
381
License
a license file GitHub does not identify

Unified Python framework for extracellular electrophysiology. Load 20+ formats (SpikeGLX, OpenEphys, NWB, Intan, Maxwell, Blackrock), preprocess, run 10+ sorters (Kilosort4, SpykingCircus2, Tridesclous, MountainSort5) via one API, compute quality metrics (SNR, ISI, firing rate), compare sorters, export NWB/Phy. For format-agnostic multi-sorter workflows. For Neuropixels-specific PSTH/decoding use neuropixels.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# SpikeInterface — Unified Extracellular Electrophysiology Framework

## Overview

SpikeInterface provides a common Python API to read extracellular recordings from 20+ file formats, preprocess raw voltage traces, run 10+ spike sorters, postprocess and quality-control sorted units, and export results — all without format-specific code. Its modular design lets users swap sorters, formats, and preprocessing steps without rewriting pipelines. SpikeInterface is built around lazy, chainable objects: a `Recording` holds raw data, a `Sorting` holds spike times, and a `SortingAnalyzer` ties them together for waveform and metric computation.

## When to Use

- Loading recordings from multiple acquisition systems (SpikeGLX, OpenEphys, Intan, NWB, Maxwell MEA, Blackrock) with a unified API rather than format-specific parsers
- Running the same preprocessing and sorting pipeline across experiments recorded on different hardware
- Comparing two or more spike sorters on the same recording to assess agreement and choose the best output
- Running containerized sorters (Kilosort, IronClust, MountainSort5) via Docker or Singularity without local installation
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jaechang-hits/sciagent-skills/spikeinterface-electrophysiology@sha256:13806a0fbcae41ef

The line at the top of this page pins the label git:20260428.81ea2d2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_xbz2im6ad3rjqpau.svg)](https://markdownregistry.com/a/art_xbz2im6ad3rjqpau)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Feb 18, 2026 and Apr 28, 2026, about one every 69 days.

versioncommittedcommitsizeaudit
git:20260428.81ea2d2 latest2026-04-28 81ea2d2 31,474 BA view · diff
git:20260218.8df16942026-02-18 8df1694 31,623 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (31474 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_xbz2im6ad3rjqpau
GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/spikeinterface-electrophysiology
GET https://markdownregistry.com/api/v1/blob/13806a0fbcae41ef93e3fc653a8311a3bff71e5238f871e29fb7d5505af6481b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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