A ready-to-run skill for processing, quantifying, and annotating proteomics and metabolomics LC-MS/MS data with pyOpenMS.
Combines body weight, temperature, clinical scores and biomarkers into a single RELSA severity score, then forecasts humane endpoints with ARIMA.
Triage compound libraries with medicinal chemistry rules (Lipinski, PAINS, NIBR) and the medchem query language.
Simulate and audit closed and open quantum systems with QuTiP 5.3, with explicit physical assumptions and convergence checks.
A Geniml-focused skill that validates BED/universe contracts and plans Region2Vec, scEmbed, and consensus-universe runs with an audit-first mindset.
Analyze, validate, convert, and transform crystal structures and computed materials data with reproducible, provenance-preserving pymatgen workflows.
Equips Claude Code to run FBA, FVA, knockout screens, and flux sampling on genome-scale metabolic models with COBRApy.
End-to-end Neuropixels extracellular analysis with SpikeInterface: loading, preprocessing, drift correction, spike sorting, quality metrics and unit curation.
A complete scVelo workflow skill for inferring cell-state transition directions, latent time, and driver genes from spliced/unspliced mRNA dynamics.
Equips Claude to run scikit-bio workflows — sequences, alignments, phylogenetic trees, diversity metrics, PCoA and PERMANOVA — with the current 0.7+ API.
An expert-level skill for building, testing, and analyzing bounded process-based discrete-event simulations with SimPy.
Orchestrates a reproducible bulk RNA-seq workflow from raw FASTQ through QC, quantification, differential expression, pathway enrichment and publication figures.
Helps organize, query, validate, and convert neuroscience data (MRI, EEG, PET and more) into the BIDS standard.
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.
Safely inspect, export, and plan microscopy data workflows on an OMERO.server using omero-py, BlitzGateway, and the CLI.
A skill for ingesting VCF/BCF variant data into TileDB sparse arrays and querying or exporting it by sample and genomic region.
Scans protein sequences for N-/O-glycosylation sites and guides glycan engineering for therapeutic antibodies and vaccine antigens.
Safely discover and use Therapeutics Data Commons datasets, splits, evaluators, benchmark groups, and molecular oracles via the PyTDC package.
Query DepMap CRISPR gene dependency and drug sensitivity data to find cancer-selective vulnerabilities and validate oncology targets.
Guides Claude to infer transcription factor–target gene networks from expression data using GRNBoost2/GENIE3.