# Yeloo Vibe Skills Engineering Features For Machine Learning > Feature Engineering Toolkit - Skill: `tomevault-io/yeloo-vibe-skills-engineering-features-for-machine-learning` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/yeloo-vibe-skills-engineering-features-for-machine-learning` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/yeloo-vibe-skills-engineering-features-for-machine-learning/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/yeloo-vibe-skills-engineering-features-for-machine-learning --- # Feature Engineering Toolkit Use this skill when the main question is how to improve or restructure the input features. ## Overview This skill covers feature creation, encoding, scaling coordination, and feature selection before the model is finalized. ## When to Use This Skill - Creating derived variables, interaction terms, bins, encodings, or date-based features - Selecting or pruning features before training - Reworking feature representations to fit model assumptions or data geometry ## Not For / Boundaries - Full training runs and benchmark ownership: use `training-machine-learning-models` - Post-hoc interpretation of a trained model: use `feature-importance-analyzer` - Leak checking across the preprocessing order: use `ml-data-leakage-guard` ## Typical Outputs - Candidate feature set changes - Implementation notes for encoders, scalers, and selectors - Rationale for what to keep, drop, or combine ## Related Skills - `data-normalization-tool` for scaling-only questions - `ml-data-leakage-guard` before accepting the engineered pipeline --- > Source: [yeloo/Vibe-Skills](https://github.com/yeloo/Vibe-Skills) — distributed by [TomeVault](https://tomevault.io).