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SKILL.md

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
version 1.0.0
license MIT
author Jeremy Longshore <jeremy@intentsolutions.io>

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