feature-engineering-helper
Configure with feature engineering helper operations. Auto-activating skill for ML Training. Triggers on: feature engineering helper, feature engineering helper Part of the ML Training skill category. Use when working with feature engineering helper functionality. Trigger with phrases like "feature engineering helper", "feature helper", "feature". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill feature-engineering-helper --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Feature Engineering Helper ## Overview This skill provides automated assistance for feature engineering helper tasks within the ML Training domain. ## When to Use This skill activates automatically when you: - Mention "feature engineering helper" in your request - Ask about feature engineering helper patterns or best practices - Need help with machine learning training skills covering data prepa
What does the feature-engineering-helper skill do?
Configure with feature engineering helper operations. Auto-activating skill for ML Training. Triggers on: feature engineering helper, feature engineering helper Part of the ML Training skill category. Use when working with feature engineering helper functionality. Trigger with phrases like "feature engineering helper", "feature helper", "feature". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill feature-engineering-helper --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.