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.

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.

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

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.

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 through DeepChem workflows for molecular property prediction — from SMILES loading and featurization to GNNs and pretrained-model fine-tuning.

Builds safety-bounded draft structures for clinical, trial, and safety reports and runs offline deterministic checks on structure and provenance.

An audit-ready workflow for market reports where every claim carries source IDs and TAM/SAM/SOM plus forecasts are treated as scenarios.

A metrology skill that tracks physical units, builds GUM/Monte Carlo uncertainty budgets, and audits Python code for silent unit and correlation bugs.

A rigorous GeoPandas 1.1.4 playbook with correctness gates for CRS, geometry validity, join cardinality and exports, plus six local audit CLIs.

Guides Claude to read, write, and process DICOM files with pydicom 3.0.2 while enforcing PHI-safe output and a bounded de-identification preflight.

A version-pinned guide for building, simulating, transpiling, and running quantum circuits with Qiskit 2.x and IBM Quantum Runtime.

An end-to-end Scanpy workflow skill for scRNA-seq: QC, normalization, PCA/UMAP, Leiden clustering, markers and cell-type annotation.

A skill that guides Claude through scvi-tools deep generative models for batch correction, multimodal integration, and uncertainty-aware differential expression in single-cell data.

A practical guide for training, evaluating and customizing reinforcement learning agents with Stable Baselines3.

End-to-end guidance for building, running, configuring, and debugging Nextflow and nf-core pipelines.

Guides Claude through constraint-based metabolic modeling with COBRApy: FBA, FVA, knockouts, media design and flux sampling.