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.
Helps Claude write and deploy Python to Modal's serverless cloud with on-demand GPUs, volumes, web endpoints and cron jobs.
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 skill that helps Claude write fast, idiomatic Polars code using its expression API, lazy engine, and pandas migration mappings.
Describe a scientific diagram in plain language and get a publication-quality PNG, auto-regenerated only when an AI reviewer scores it below your document type's threshold.
Drafts competitive funding proposals tailored to NSF, NIH, DOE, DARPA, and Taiwan NSTC review criteria and formatting rules.
Zero-shot univariate time series forecasting with Google's TimesFM foundation model, including calibrated prediction intervals.
Generates correct, up-to-date seaborn 0.13 code for distribution, relationship, and categorical plots from pandas DataFrames.
Guides Claude to write correct, up-to-date scikit-bio code for sequence analysis, alignment, phylogenetics, and microbiome diversity statistics.
A skill that guides rigorous statistical modeling in Python with statsmodels — regression, GLM, discrete choice, and time series, plus diagnostics and inference.
Helps Claude write correct Zarr 3.x code for chunked, compressed N-dimensional arrays on local disk or cloud object storage.
Lets Claude query the key-free U.S. Treasury Fiscal Data REST API for national debt, auctions, exchange rates, and federal revenue/spending.
An end-to-end guide for research statistics: picking the right test, verifying assumptions, reporting effect sizes, and writing APA-style results.
Runs evidence-aware research ideation with independent generation, transparent scoring, adversarial review, and an auditable decision log.
A skill that guides Claude to use Vaex for lazy, out-of-core analysis, visualization, and ML on billion-row tabular datasets that exceed RAM.
Guides Claude to perform fast genomic interval operations and bioinformatics file I/O (BED/VCF/BAM/GFF) on Polars DataFrames with polars-bio.
A skill that guides classical machine learning in Python with scikit-learn — classification, regression, clustering, preprocessing, evaluation and tuning — following leakage-free best practices.