All skills

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

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.

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.

Draft, revise, and audit scientific manuscripts with enforced evidence provenance, reporting-guideline coverage, and authorship/disclosure checks.

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 rigorous skill for validating, converting, and symmetry-analyzing crystal structures with current pymatgen APIs, plus offline phase diagrams and bounded Materials Project queries.

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.

An end-to-end PyMC workflow skill covering hierarchical models, NUTS/variational inference, convergence diagnostics, and LOO/WAIC model comparison.

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.

Prepares journal manuscripts, conference papers, posters, and grant documents by verifying current official venue rules first, then using bundled LaTeX scaffolds.

A skill that guides Claude in building, analyzing, and visualizing networks and graphs with Python's NetworkX.

Run end-to-end proteomics and metabolomics LC-MS/MS analysis with ready-made pyOpenMS CLI scripts.

A skill that guides Claude through choosing SHAP explainers and maskers, computing, validating, and visualizing feature attributions on SHAP 0.52.