Data Science & ML Agent Skills

Builds and edits Simulink, System Composer, Stateflow, and Simscape models.

Run SQL queries against CSV/TSV/Excel files using Polars SQL engine

Deep integration with NVIDIA CUDA toolkit for kernel development, compilation, and debugging.

Generate AI-powered Data Dictionary, Description, and Tags for a CSV/TSV/Excel file

Join two datasets with automatic strategy selection (joinp vs join vs sqlp)

Profile a CSV/TSV/Excel file - detect format, compute statistics, show value distributions

Quality dimensions quick reference and remediation decision tree for tabular data assessment

Create publication-quality visualizations from CSV/TSV/Excel data using Python

Compare your genome to George Church (PGP-1) and estimate ancestry composition via IBS and EM admixture

Score genetic compatibility across all male-female pairings in a Genomebook generation

Automates and guides biomolecular molecular dynamics simulations using GROMACS, from system setup and equilibration to trajectory analysis…

Agent skill for data-ml-model - invoke with $agent-data-ml-model

Monitor running experiments, check progress, collect results.

SageMath for comprehensive mathematical computation

Local scVI/scANVI-based single-cell latent embedding and batch-aware integration from raw-count .h5ad or 10x

Automate Tisane tasks via Rube MCP (Composio).

Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript.

Variational quantum classifier training skill with gradient optimization

This skill covers Bayesian estimation and inference in quantitative social science.

BentoML skill for model packaging, serving, and containerization.

Guides complex biological data workflows including sequence alignment, variant calling, phylogenetics, and protein structure prediction.