Guides Claude through classification, regression, clustering, forecasting, and anomaly detection on time series using the aeon toolkit.
Helps organize, query, validate, and convert neuroscience data (MRI, EEG, PET and more) into the BIDS standard.
Teaches Claude how to create, read, concatenate and optimize AnnData objects (.h5ad/.zarr) in the scverse ecosystem.
Query 40+ bioinformatics databases such as UniProt, KEGG, ChEMBL and Reactome through one consistent Python interface.
Orchestrates a reproducible bulk RNA-seq workflow from raw FASTQ through QC, quantification, differential expression, pathway enrichment and publication figures.
Fetch real, citable Bilibili video metadata, live engagement stats, and full danmaku text from a BVID, av number, b23.tv link, or URL — no login required.
Discover, clone, refresh, and analyze competitor repositories to produce evidence-backed competitive intelligence with file:line citations.
Turns your project's full claude-mem observation history into a narrative "Journey Into [Project]" report.
Safely discover and use Therapeutics Data Commons datasets, splits, evaluators, benchmark groups, and molecular oracles via the PyTDC package.
Scans protein sequences for N-/O-glycosylation sites and guides glycan engineering for therapeutic antibodies and vaccine antigens.
Turns any piece of writing into a 12-dimension cognitive profile of the mind behind it.
Guides Claude through tissue detection, tile extraction and stain normalization on gigapixel whole slide images using the histolab Python library.
Query 20+ bioinformatics databases — gene info, BLAST/BLAT, AlphaFold structures, expression and disease data — with single CLI or Python calls.
Safely inspect, export, and plan microscopy data workflows on an OMERO.server using omero-py, BlitzGateway, and the CLI.
A reference skill that guides Claude through scvi-tools deep generative models for batch correction, multimodal integration, and probabilistic differential expression in single-cell omics.
Query DepMap CRISPR gene dependency and drug sensitivity data to find cancer-selective vulnerabilities and validate oncology targets.
A skill for ingesting VCF/BCF variant data into TileDB sparse arrays and querying or exporting it by sample and genomic region.
Guides Claude to infer transcription factor–target gene networks from expression data using GRNBoost2/GENIE3.
Scans a Karpathy-pattern markdown wiki and builds an interactive knowledge graph with entities, implicit relationships, and topic clusters.
Turns local ccusage data into a clear, evidence-backed explanation of your Claude Code token spend and quota burn.