biotender-max/bio-gene-regulatory-networks-scenic-regulons
Infer gene regulatory networks and identify transcription factor regulons from single-cell RNA-seq data using pySCENIC. Discovers co-expression modules with GRNBoost2, prunes by cis-regulatory motif enrichment, and scores regulon activity per cell with AUCell. Use when identifying transcription factor regulons, scoring TF activity in single cells, or finding master regulators of cell identity.
npx skills add https://github.com/BioTender-max/awesome-bio-agent-skills --skill bio-gene-regulatory-networks-scenic-regulons
Take biotender-max/bio-gene-regulatory-networks-scenic-regulons from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.