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