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Classification Model Builder

building-classification-models

jeremylongshore/claude-code-plugins-plus-skills

Automates building and evaluating classification models by analyzing datasets, selecting features, tuning hyperparameters, and reporting metrics via the classification-model-builder plugin for supervised learning requests.

Data-Driven Feature Development

data-engineering-data-driven-feature

sickn33/antigravity-awesome-skills

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

Feature Importance Analyzer

feature-importance-analyzer

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance on assessing feature importance for machine learning training, covering data prep, model training, tuning, and experiment tracking while generating production-ready code, configurations, and validation instructions for best-practice compliance.

Feature Store Connector

feature-store-connector

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for setting up and validating feature store connectors within ML deployment pipelines, covering best practices, code generation, and production monitoring for inference.

Production ML Pipeline

Jeffallan/claude-skills

Designs production-grade ML pipeline infrastructure covering experiment tracking, feature stores, DAG orchestration, and automated retraining so teams can reliably version data, tune hyperparameters, and deploy models with tools like MLflow, Kubeflow, Airflow, or Feast.

Senior Data Scientist Expertise

senior-data-scientist

alirezarezvani/claude-skills

Delivers end-to-end senior data science support: design A/B tests, engineer structured features, evaluate predictive models, and draw causal insights using Python, R, and SQL for data-driven business decisions.

Aeon Time Series Toolkit

K-Dense-AI/claude-scientific-skills

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

PyOpenMS Mass Spectrometry

K-Dense-AI/claude-scientific-skills

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.

UMAP Manifold Reduction

K-Dense-AI/claude-scientific-skills

UMAP-Learn delivers fast nonlinear dimensionality reduction for visualization, clustering prep, and feature engineering; it mirrors scikit-learn APIs and supports supervised/semi-supervised embeddings with tunable parameters.

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