cross-validation-setup
Configure cross validation setup operations. Auto-activating skill for ML Training. Triggers on: cross validation setup, cross validation setup Part of the ML Training skill category. Use when working with cross validation setup functionality. Trigger with phrases like "cross validation setup", "cross setup", "cross". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill cross-validation-setup --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.
# Cross Validation Setup ## Overview This skill provides automated assistance for cross validation setup tasks within the ML Training domain. ## When to Use This skill activates automatically when you: - Mention "cross validation setup" in your request - Ask about cross validation setup patterns or best practices - Need help with machine learning training skills covering data preparation, model tr
What does the cross-validation-setup skill do?
Configure cross validation setup operations. Auto-activating skill for ML Training. Triggers on: cross validation setup, cross validation setup Part of the ML Training skill category. Use when working with cross validation setup functionality. Trigger with phrases like "cross validation setup", "cross setup", "cross". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill cross-validation-setup --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.