Data & Analytics

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.

Guides Claude to perform fast genomic interval operations and bioinformatics file I/O (BED/VCF/BAM/GFF) on Polars DataFrames with polars-bio.