Hdma

Use for any task involving the HDMA (Human Development Multiomic Atlas) repository — using its data (fragments, count matrices, Seurat/ArchR/BPCells objects, ChromBPNet models, contribution scores, bigwigs, motifs, motif instances, caCREs, ABC loops) or its code (preprocessing, global analysis, ChromBPNet training/interpretation, enhancer/ABC analysis, variant scoring, figure reproduction). Triggers on downloading data from Zenodo, finding files for a given cell type or organ, loading an object, reprocessing raw SRA data, loading tracks in a genome browser, running or adapting a pipeline step, finding which script made a figure, or setting up R/conda envs. This is a router skill — read the relevant file under references/ before acting, because the repo has non-obvious conventions (data lives on Zenodo not in-repo; cluster files are named by Cluster_ChromBPNet; scripts read a gitignored ROOT_DIR.txt).

mkdir -p ~/.claude/skills/hdma
curl -L https://claudskills.com/skills/hdma/SKILL.md \
  -o ~/.claude/skills/hdma/SKILL.md

@misc{hdma-2026,
  author    = {GreenleafLab},
  title     = {Hdma [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/hdma/}
}