'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\". '
Installs into .claude/skills of the current project.
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---
name: torchscript-exporter
description: "'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\". '"
allowed-tools: "Read, Write, Edit, Bash(cmd:*), Grep"
category: devops-and-infra
source_repo: jeremylongshore/claude-code-plugins-plus-skills
source_path: "skills/08-ml-deployment/torchscript-exporter/SKILL.md"
source_url: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/HEAD/skills/08-ml-deployment/torchscript-exporter/SKILL.md
---
# 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, monitoring, and production optimization.
## Instructions
1. Provides step-by-step guidance for torchscript exporter
2. Follows industry best practices and patterns
3. Generates production-ready code and configurations
4. Validates outputs against common standards
## Examples
**Example: Basic Usage**
Request: "Help me with torchscript exporter"
Result: Provides step-by-step guidance and generates appropriate configurations
## Prerequisites
- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of ml deployment concepts
## Output
- Generated configurations and code
- Best practice recommendations
- Validation results
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
## Resources
- Official documentation for related tools
- Best practices guides
- Community examples and tutorials
## Related Skills
Part of the **ML Deployment** skill category.
Tags: mlops, serving, inference, monitoring, production
---
**Source:** [`jeremylongshore/claude-code-plugins-plus-skills`](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) → `skills/08-ml-deployment/torchscript-exporter/SKILL.md`