Prevents silent off-by-one and wrong-build errors whenever genomic coordinates cross a file format, tool, or assembly boundary.
A skill that teaches Claude to query 20+ genomic databases quickly through the gget CLI and Python API.
An audit-ready workflow for market reports where every claim carries source IDs and TAM/SAM/SOM plus forecasts are treated as scenarios.
Routes literature queries across 11 scholarly APIs (PubMed, arXiv, OpenAlex, Unpaywall and more) and returns papers, citations, and OA PDFs with reproducible provenance.
A metrology skill that tracks physical units, builds GUM/Monte Carlo uncertainty budgets, and audits Python code for silent unit and correlation bugs.
A skill that helps Claude write fast, idiomatic Polars code using its expression API, lazy engine, and pandas migration mappings.
A rigorous GeoPandas 1.1.4 playbook with correctness gates for CRS, geometry validity, join cardinality and exports, plus six local audit CLIs.
An end-to-end Scanpy workflow skill for scRNA-seq: QC, normalization, PCA/UMAP, Leiden clustering, markers and cell-type annotation.
A skill that guides Claude through scvi-tools deep generative models for batch correction, multimodal integration, and uncertainty-aware differential expression in single-cell data.
Zero-shot univariate time series forecasting with Google's TimesFM foundation model, including calibrated prediction intervals.
Generates correct, up-to-date seaborn 0.13 code for distribution, relationship, and categorical plots from pandas DataFrames.
Guides Claude to write correct, up-to-date scikit-bio code for sequence analysis, alignment, phylogenetics, and microbiome diversity statistics.
A skill that guides rigorous statistical modeling in Python with statsmodels — regression, GLM, discrete choice, and time series, plus diagnostics and inference.
Helps Claude write correct Zarr 3.x code for chunked, compressed N-dimensional arrays on local disk or cloud object storage.
Lets Claude query the key-free U.S. Treasury Fiscal Data REST API for national debt, auctions, exchange rates, and federal revenue/spending.
Guides Claude through constraint-based metabolic modeling with COBRApy: FBA, FVA, knockouts, media design and flux sampling.
An end-to-end guide for research statistics: picking the right test, verifying assumptions, reporting effect sizes, and writing APA-style results.
A rigorous skill for validating, converting, and symmetry-analyzing crystal structures with current pymatgen APIs, plus offline phase diagrams and bounded Materials Project queries.
A skill that guides Claude to use Vaex for lazy, out-of-core analysis, visualization, and ML on billion-row tabular datasets that exceed RAM.
An end-to-end PyMC workflow skill covering hierarchical models, NUTS/variational inference, convergence diagnostics, and LOO/WAIC model comparison.