Automate machine learning feature engineering by generating and executing validated Python code to create interactions, scale data, encode categoricals, select features via importance analysis, compute metrics, save artifacts, and generate documentation.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin feature-engineering-toolkit12 PM-specific agent skills, 6 workflow commands, 3 automation hooks for Product Managers
Claude Code skill pack for Notion (30 skills)
Claude Code skill pack for Abridge (18 skills)
Claude Code skill pack for Cast AI (18 skills)
Claude Code skill pack for Lucidchart (18 skills)
Automated data preprocessing and cleaning pipelines
Skills to support Machine Learning experimentation using the Python ecosystem.
Data science and ML workflow tools. 9 agents, 8 commands, 19 skills, 9 templates for problem framing, preprocessing, validation, EDA, experimentation, review, deployment, and knowledge compounding.
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and external agent monitoring.
Self-documenting, self-improving framework for analytical repositories
Evaluate and compare ML model performance metrics