This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
How to install geniml?
dralkh/seerai/geniml
$npx -y skills add dralkh/seerai --skill genimlInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/dralkh/seerai" --skill "dralkh/seerai/geniml"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/dralkh/seerai" that are relevant to the current task. Run `npx skills add "https://github.com/dralkh/seerai"` and select the relevant skills, then follow their instructions.
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