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