This pulls gene expression and omics datasets from ArrayExpress and BioStudies, with fallback to GEO and other repositories when needed. You give it a gene, condition, or disease, and it returns experiment metadata, sample annotations, file listings, and quality scores based on replication and completeness. The workflow includes gene symbol disambiguation and a three-tier quality assessment system that flags single-replicate studies or sparse metadata. Useful when you need to find RNA-seq or microarray data for specific tissues or conditions before committing to a download. The skill prioritizes experiments with three or more biological replicates and complete raw plus processed data, which saves time filtering through low-quality submissions.
npx -y skills add mims-harvard/tooluniverse --skill tooluniverse-expression-data-retrieval --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills