Data & Analytics

A skill for organizing, querying, validating and converting neuroscience data to the BIDS standard.

A skill that guides Claude to write correct Biopython code for sequence work, file parsing, NCBI access, BLAST, structures, and phylogenetics.

Query 40+ bioinformatics databases (UniProt, KEGG, ChEMBL, Reactome) through one consistent Python interface.

An expert skill for designing, implementing, and auditing marketing analytics with GA4, GTM, and UTMs.

A skill that analyzes CSV, Parquet, and JSON data by intelligently routing each operation to either DuckDB or Polars for maximum speed.

Turns any capital expenditure question — equipment, hiring, software, real estate — into a numbers-backed ROI/NPV/IRR analysis with a clear go/no-go recommendation.

An all-in-one geospatial skill that turns satellite imagery, GIS, spatial statistics and spatial ML tasks into ready-to-run code patterns.

Picks the right study design and generates seeded randomization schedules and DOE matrices before any data is collected.

A skill for scaling pandas/NumPy workloads beyond RAM using Dask's parallel and distributed collections.

Resolves free-text scientific labels into exact ontology IDs via EBI OLS4 and validates existing CURIEs for existence, obsolescence, and label consistency.

Retrieve facts from 78 documented public database APIs reproducibly, with explicit endpoints, pagination, and provenance.

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.

Routes literature queries across 11 scholarly APIs (PubMed, arXiv, OpenAlex, Unpaywall and more) and returns papers, citations, and OA PDFs with reproducible provenance.

A skill that helps Claude write fast, idiomatic Polars code using its expression API, lazy engine, and pandas migration mappings.

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.