Individual skill
engineering-features-for-machine-learning
Execute create, select, and transform features to improve machine learning model performance. Handles feature scaling, encoding, and importance analysis. Use when asked to "engineer features" or "select features". Trigger with relevant phrases based on skill purpose.
skills/.curated/engineering-features-for-machine-learning/SKILL.md
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- Repository last updated
- Nov 12, 2026
- License
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- ai Declared skill tag
- ml Declared skill tag
- performance Declared skill tag
- scaling Declared skill tag
- engineering Derived category
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SKILL.mdcore · 4,208 bytesassets/README.mddoc · 479 bytesassets/configuration_template.yamlasset · 4,440 bytesassets/example_dataset.csvasset · 3,260 bytesassets/feature_engineering_template.pyruns · 6,753 bytesreferences/README.mddoc · 70 bytesscripts/README.mddoc · 807 bytesscripts/feature_importance_analyzer.pyruns · 4,945 bytes
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# Feature Engineering Toolkit
Create, select, and transform features to improve ML model performance, handling scaling, encoding, interaction terms, and importance analysis.
## Overview
leverage the feature-engineering-toolkit plugin to enhance machine learning models. It automates the process of creating new features, selecting the most relevant ones, and transforming existing features to better suit the model's needs. Use this skill to improve the accuracy, efficiency, and interpretability of machine learning models.
## How It Works
1. **Analyzing Requirements**: Claude analyzes the user's request and identifies the specific feature engineering task required.
2. **Generating Code**: Claude generates Python code using the feature-engineering-toolkit plugin to perform the requested task. This includes data validation and error handling.
3. **Executing Task**: The generated code is executed, creating, selecting, or transforming features as requested.
4. **Providing Insights**: Claude provides performance metrics and insights related to the feature engineering process, such as the importance of newly created features or the impact of transformations on model performance.
