A comprehensive collection of ready-to-use scientific and research skills for AI agents.

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

Unix, R and python tools for genomics and data science

Pysam is a Python package for reading, manipulating, and writing genomics data such as SAM/BAM/CRAM and VCF/BCF files. It's a lightweight wrapper of the HTSlib API, the same one that powers samtools, bcftools, and tabix.

A genome visualization python package for comparative genomics

Python library to facilitate genome assembly, annotation, and comparative genomics

Analyze a single FASTA file (nucleotide or protein), compute sequence-level metrics (GC, ORFs, MW, pI, GRAVY, secondary-structure fractions) with Biopython, and write a Markdown report plus structured JSON for downstream chaining.

Curated collection of 39 agent skills for healthcare and life sciences workflows, installable via the Agent Skills standard.

Personalized Genomics and Proteomics. Main diet: Ensembl, side dishes: SNPs

Classification of Breast Cancer diagnosis Using Support Vector Machines

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix