Analyzes CSV, Parquet and JSON data at maximum speed by intelligently routing between DuckDB and Polars — never pandas.
Query, download, and preview public NCI cancer imaging data (CT, MR, PET, digital pathology) using idc-index.
A guided statistics workflow that picks the right test, verifies assumptions, reports effect sizes, and writes APA-formatted results.
Plan studies with defensible sample sizes, minimum detectable effects, and power curves using both closed-form formulas and Monte Carlo simulation.
Turns vague questions into reproducible API queries across 78 documented public databases, complete with provenance.
A reference skill that guides classification, regression, clustering, model evaluation and pipeline building in scikit-learn with best practices baked in.
Runs bounded, network-free exploratory profiling of authorized local scientific files with missingness, leakage, and outlier diagnostics.
Build, audit, and debug GA4/GTM tracking — event taxonomy, conversion setup, consent mode, and data quality in one skill.
Sizes ops headcount, flags utilization risk, and sequences a 12-month hiring plan using Erlang-C queueing math.
Turns any capital expenditure question — equipment, hiring, software, real estate — into a full ROI/NPV/IRR analysis with a clear proceed or pass recommendation.
A skill that guides Claude in building publication-quality plots with full low-level control in Matplotlib.
Guides UMAP workflows for 2D/3D embeddings, clustering preprocessing, supervised UMAP, and Parametric/Aligned UMAP.
Turn a gene symbol, genomic region, or FASTA into promoter, splice, enhancer, chromatin, expression, and gene-annotation predictions via hosted DNA language models.
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.
Discovers and wires up curated Hugging Face datasets, models, and Spaces across 17 scientific domains, from protein design to climate modeling.
Builds auditable market research reports where every claim maps to a source and TAM/SAM/SOM plus forecasts are presented as scenarios.
Teaches Claude idiomatic Polars — expressions, lazy queries, and pandas-to-Polars migration.
Gives Claude fine-grained RDKit guidance for SMILES/SDF parsing, descriptors, fingerprints, substructure search, reactions and 2D/3D generation.
Zero-shot time series forecasting with Google's TimesFM foundation model — no training required.