All skills

Runs developmental, evidence-traceable reviews of papers, protocols and research ideas, plus local audits of low-stakes assessment rubrics.

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

Plans, AI-generates, and assembles research talk decks — conference presentations, seminars, and thesis defenses — into PDF or PowerPoint.

Builds a manuscript-ready research packet — 60 verified, deduplicated references plus evidence matrix and BibTeX — using Parallel Search, Extract, and Research.

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.

An Exa-powered skill for semantic web search and batch URL/PDF extraction, tuned for scientific and technical sources.

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.

Guides Claude through Hugging Face Transformers work: Hub model loading, pipeline inference, text generation, and Trainer fine-tuning on transformers 5.x.

Search OpenAlex, PubMed, and Google Scholar, extract accurate metadata, and generate, clean, and validate BibTeX bibliographies.

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.

Guides Claude in using Datamol, the Pythonic RDKit wrapper, for SMILES parsing, standardization, fingerprints, clustering, and 3D conformers.

A skill that systematically appraises scientific claims for design validity, bias, statistical soundness, and evidence quality using GRADE and Cochrane RoB.

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.

Guides an authorized reviewer through evidence-bounded, confidential peer-review drafting for manuscripts, protocols, preprints, and proposals.

Guides Claude to do exact symbolic math in Python with SymPy — algebra, calculus, solvers, matrices — and export results as code or LaTeX.