Skill UI

Auto-activating data analytics skill that guides anomaly detection tasks, covering SQL, visualization, statistical analysis, and business intelligence best practices.

Enables Claude to apply anomaly-detection-system workflows for spotting outliers, fraud, or unusual patterns across datasets, selecting tailored algorithms like Isolation Forest and summarizing deviations for any data monitoring or security use case.

Aeon is a scikit-learn compatible toolkit for classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search, and feature engineering on temporal data.

ETE Toolkit offers comprehensive phylogenetic tree manipulation, evolutionary event detection, taxonomy integration, and publication-grade visualization for phylogenomics workflows across research and clustering analyses.

Gtars is a high-performance Rust toolkit with Python bindings for genomic interval analysis, covering overlap detection, coverage track generation, ML tokenization, fragment scoring, and reference sequence management for computational genomics workflows.

Automates hypothesis generation and testing on tabular datasets by blending LLM-driven data insights with literature synthesis, enabling researchers to explore patterns, validate competing claims, and surface non-redundant ideas across domains like deception detection or content analysis.

PyOpenMS exposes OpenMS via Python to cover end-to-end proteomics and metabolomics workflows, including file I/O, signal processing, feature detection, identification, quantitation, and integration with pandas/visualization stacks.

Deploys ML-trained baselines across SCADA, Modbus, DNP3, and OPC UA communications in OT networks, correlating historian data to flag rogue devices and anomalous behavior.