Claude code skill for neurotech/BCI machine learning [P]

For people working in neurotech (BCIs, EEG analysis, precision medicine, etc.), agentic coding tools like Claude Code are starting to play a bigger role in everyday workflows. ML is fairly difficult to do from scratch with messy patient data and is important to advance BCI!

I’ve been using them to speed up things like data processing, model iteration, and general experimentation. One thing I found helpful is having a domain-specific setup that nudges the model to behave more consistently for EEG and neuro-related work.

I put together a small skill for this that I’ve been using internally. I call it ClaudeEEG.

It aligns Claude with the domain by giving it significant context and instructions about EEG analysis and how to properly conduct ML and data analysis with messy biomedical data.

If you want to try it, you can install it with:

npx skills add https://github.com/Krish-mal15/ClaudeEEG 

Repo is here if you want to take a look or tweak it:
https://github.com/Krish-mal15/ClaudeEEG

Happy to hear feedback if you are working in this space or have ideas for improving it.