SpikeInterface (Claude Skill)

Unified Python framework for extracellular electrophysiology.


Type	Claude Skill
Supplier	jaechang-hits (community OSS, CC BY 4.0)
Availability	GA — part of the BixBench-evaluated SciAgent-Skills collection
Pricing	Free / OSS (MIT)
Capabilities	Read/Write — Claude runs the skill’s Python locally (Bash), not as an MCP tool

How to install

SciAgent-Skills is not an npm package — skills are plain markdown read directly by the agent (no npx/npm).

Claude Code — clone and load as a plugin:
```
git clone https://github.com/jaechang-hits/SciAgent-Skills
```
Then inside Claude Code run /plugin install sciagent-skills (verify it appears under /plugin → Installed). Clone into your project directory so Claude Code picks the skills up via CLAUDE.md.
Manual / other agents — point the agent at the skill file directly:
```
cp -r SciAgent-Skills/skills/scientific-computing/spikeinterface-electrophysiology ~/.claude/skills/
```
The skill declares its own Python dependencies in its SKILL.md; install them when prompted on first use.

What it does

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.

Primary use cases: Unified Python framework for extracellular electrophysiology.

Notes

Distributed as a SKILL.md (plus code examples) in the SciAgent-Skills collection — Claude executes it locally via Bash/Python rather than as an MCP server. Upstream license: MIT. The skill directory upstream is skills/scientific-computing/spikeinterface-electrophysiology.

Sources

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