Runs tightly constrained one-hop and endpoint-pinned two-hop queries against the NCATS Translator ARAX API, returning typed relationships with full provenance.
A rigorous skill for planning, validating, restarting, and analyzing FluidSim computational fluid dynamics runs.
A skill that guides loading, cleaning, comparing, and library-searching tandem mass spectra with matchms 0.33.1.
A skill that guides Claude in building publication-quality plots with full low-level control in Matplotlib.
Helps organize, query, validate, and convert neuroscience data (MRI, EEG, PET and more) into the BIDS standard.
Queries live GenSpectrum LAPIS APIs to report which pathogen lineages are circulating now, how fast they are growing, and which mutations they carry.
Runs DiffDock/DiffDock-L to predict protein–small-molecule binding poses and helps you interpret the confidence scores.
An all-in-one geospatial skill covering satellite imagery, GIS operations, spatial statistics, and Earth observation ML.
Drives the deepTools suite to QC sequencing data, build normalized coverage tracks, and plot heatmaps for ChIP-seq, RNA-seq and ATAC-seq.
Plan studies before data collection — pick the right design, randomize, block, and generate reproducible DOE layouts.
Teaches Claude how to create, read, concatenate and optimize AnnData objects (.h5ad/.zarr) in the scverse ecosystem.
Query and analyze 200M+ cells of public single-cell and spatial transcriptomics data from the CZ CELLxGENE Census without downloading full datasets.
Guides UMAP workflows for 2D/3D embeddings, clustering preprocessing, supervised UMAP, and Parametric/Aligned UMAP.
Orchestrates a reproducible bulk RNA-seq workflow from raw FASTQ through QC, quantification, differential expression, pathway enrichment and publication figures.
Turn a gene symbol, genomic region, or FASTA into promoter, splice, enhancer, chromatin, expression, and gene-annotation predictions via hosted DNA language models.
Teaches Claude to read, inspect, and write flow cytometry FCS 2.0/3.0/3.1 files correctly with FlowIO 1.4.0.
A full pharmacokinetic/pharmacodynamic toolkit — NCA, compartmental fitting, popPK QC, bioequivalence, DDI and Bayesian TDM — that flags the errors most analyses hide.
Guides Claude in scaling pandas/NumPy workloads beyond RAM using Dask DataFrames, Arrays, Bags, Futures, and schedulers.
Gives Claude expert use of datamol, the Pythonic RDKit wrapper, for SMILES parsing, standardization, fingerprints, clustering and 3D conformers.
Guides Claude through classification, regression, clustering, forecasting, and anomaly detection on time series using the aeon toolkit.