model-export-helper
Assist with model export helper operations. Auto-activating skill for ML Deployment. Triggers on: model export helper, model export helper Part of the ML Deployment skill category. Use when working with model export helper functionality. Trigger with phrases like "model export helper", "model helper", "model". '
Profile →npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill model-export-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.
# Model Export Helper ## Overview This skill provides automated assistance for model export helper tasks within the ML Deployment domain. ## When to Use This skill activates automatically when you: - Mention "model export helper" in your request - Ask about model export helper patterns or best practices - Need help with machine learning deployment skills covering model serving, mlops pipelines, mo
What does the model-export-helper skill do?
Assist with model export helper operations. Auto-activating skill for ML Deployment. Triggers on: model export helper, model export helper Part of the ML Deployment skill category. Use when working with model export helper functionality. Trigger with phrases like "model export helper", "model helper", "model". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill model-export-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.