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.
Guides Claude through DeepChem workflows for molecular property prediction — from SMILES loading and featurization to GNNs and pretrained-model fine-tuning.
Retrieve facts from 78 documented public database APIs reproducibly, with explicit endpoints, pagination, and provenance.
Organizes PyTorch code into LightningModules, Trainers and DataModules, with multi-GPU strategies and experiment logging.
Prevents silent off-by-one and wrong-build errors whenever genomic coordinates cross a file format, tool, or assembly boundary.
A skill that teaches Claude to query 20+ genomic databases quickly through the gget CLI and Python API.
Builds safety-bounded draft structures for clinical, trial, and safety reports and runs offline deterministic checks on structure and provenance.
Helps Claude write and deploy Python to Modal's serverless cloud with on-demand GPUs, volumes, web endpoints and cron jobs.
An audit-ready workflow for market reports where every claim carries source IDs and TAM/SAM/SOM plus forecasts are treated as scenarios.
Routes literature queries across 11 scholarly APIs (PubMed, arXiv, OpenAlex, Unpaywall and more) and returns papers, citations, and OA PDFs with reproducible provenance.
Deploy and drive Open Notebook — an open-source NotebookLM alternative — to ingest sources, search, summarize, and generate podcasts entirely through its REST API.
A metrology skill that tracks physical units, builds GUM/Monte Carlo uncertainty budgets, and audits Python code for silent unit and correlation bugs.
A skill that helps Claude write fast, idiomatic Polars code using its expression API, lazy engine, and pandas migration mappings.
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.