Data & Analytics

An end-to-end skill for Excel data processing, expert-level analysis, interactive HTML reports, and HTML-to-PPTX slide generation.

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

Picks the governing framework (ICH Q2(R2)/M10, USP, CLSI, ISO 17025), then plans the validation study, runs the correct statistics, and structures the protocol and report.

A skill for creating, reading/writing, concatenating and scaling AnnData (.h5ad, Zarr) objects using the current 0.13.x API.

A skill that guides Claude through the scikit-learn-compatible aeon toolkit for time series classification, regression, clustering, forecasting and anomaly detection.

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 end-to-end router that takes bulk RNA-seq from raw FASTQ through QC, quantification, a counts matrix, DESeq2, pathway enrichment, and publication figures.

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.

A pharmacometrics toolkit covering NCA, compartmental fitting, popPK dataset QC, regimen simulation, exposure-response, bioequivalence, DDI and Bayesian TDM.

Builds clinical prediction pipelines (mortality, readmission, drug recommendation, sleep staging) on EHR and signal datasets using PyHealth's standard 5-stage workflow.

Builds and validates research-only CDS artifacts—GRADE evidence profiles, aggregate cohort tables, survival plans, model/biomarker evaluations, and de-identification checklists—with a hard no-patient-care boundary.

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

Design, build, and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly.

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

Queries live GenSpectrum LAPIS instances to report which pathogen lineages are circulating now, how fast they grow, and which mutations they carry — always with provenance.

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.

Set up, run, and analyze protein/ligand MD simulations end-to-end with OpenMM and MDAnalysis.