Data Science & ML Agent Skills

RDKit chemoinformatics skill for molecular property calculation and compound library management

Designs composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect…

Quantum resource estimation skill for algorithm feasibility analysis

This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model…

Probability distribution fitting skill for calibrating uncertainty models from historical data or expert judgment

Deploy and run ML experiments on local or remote GPU servers.

Fit, summarize, plot, and interpret a chosen CausalPy experiment.

Performs placebo-in-time sensitivity analysis with hierarchical null model and optional Bayesian assurance.

Salmon pseudo-alignment skill for fast and accurate transcript quantification

Scaffolds a method-specific analysis notebook (DiD, IV, RDD, LASSO, Panel FE) with boilerplate.

Skill for generating publication-quality scientific figures

Seaborn is a Python visualization library for creating publication-quality statistical graphics.

Global sensitivity analysis methods

Sensitivity analysis frameworks and assumption-testing methods

Expert skill for multi-sensor fusion and state estimation using Kalman filtering.

Expert data scientist for advanced analytics, machine learning, and statistical modeling.

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory…

Fast in-memory DataFrame library for datasets that fit in RAM.

Machine learning in Python with scikit-learn.

Techniques for minimizing simulation-to-reality gap and validating transfer

Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and…