If you're working with microscopy data in OMERO, this gives Claude the ability to navigate projects and datasets, pull pixel data into NumPy arrays, manage ROIs and annotations, and write server-side scripts for batch processing. The skill covers eight capability areas from basic connection patterns to creating OMERO tables for storing quantitative measurements. It's genuinely useful if you're doing high-content screening or need to automate analysis workflows across hundreds of images. The reference docs are thorough and include specific code patterns for common tasks like extracting intensities from ROIs or querying screening plates. You'll need access to an OMERO server and omero-py installed to use any of this.
npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill omero-integration