Analyzes CSV, Parquet and JSON data at maximum speed by intelligently routing between DuckDB and Polars — never pandas.
Search and read ~11M full-text papers, FDA filings and clinical trials as a read-only virtual filesystem, with line-pinned citations.
Picks the governing framework (ICH Q2(R2)/Q14, M10, USP, CLSI, ISO 17025) first, then plans, computes and documents analytical method validation, verification and transfer.
Convert coordinates across BED/GFF/VCF formats, normalise variants, and catch assembly mismatches before they silently corrupt an analysis.
Query, download, and preview public NCI cancer imaging data (CT, MR, PET, digital pathology) using idc-index.
Build and audit reproducible NeuroKit2 pipelines for ECG, EDA, RSP, EEG and other physiological time-series analysis.
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.
Design, audit, and export truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly.
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.
Guides Claude through choosing SHAP explainers, computing and validating attributions, and plotting them correctly.
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.
End-to-end Neuropixels extracellular analysis with SpikeInterface: loading, preprocessing, drift correction, spike sorting, quality metrics and unit curation.
Tracks physical units with pint and propagates measurement uncertainty via GUM and Monte Carlo, with local CLIs for budgets, reporting, code audits, and plausibility checks.
Opinionated GeoPandas guidance plus local audit CLIs for CRS, geometry validity, spatial joins, and safe exports.
A PathML 3.0.5 playbook for loading and tiling whole-slide images, building preprocessing/QC pipelines, validating spatial graphs, and planning bounded local inference.