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pyMEA-codegen

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Automate MEA data-analytic code generation in Jupyter.

Data & Analytics#data-analysis#code#jupyter#generate#pymea#mea
Authorkkito0726
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill automates the generation of MEA data analysis code in a Jupyter Notebook using the pyMEA library, enabling researchers to convert natural language requirements into runnable analysis scripts without manual, repetitive coding.

Core Features & Use Cases

  • Automated MEA analysis code generation that reads .hed/.bio data, performs peak detection, plots waveforms, computes ISI and FPD, estimates conduction velocity, and creates color maps and videos.
  • Supports both cardiac and neural MEA workflows, with guidance on API usage and notebook organization for reproducibility.
  • Use Case: A researcher describes the desired workflow in natural language and receives a ready-to-run Jupyter Notebook that encapsulates data loading, processing, visualization, and export.

Quick Start

Provide a natural language request describing the MEA analysis you want, and the skill will generate corresponding PyMEA code in a Jupyter Notebook.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: pyMEA-codegen
Download link: https://github.com/kkito0726/MEA_modules/archive/main.zip#pymea-codegen

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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