Imported from jeremylongshore/tons-of-skills-marketplace (skills/08-ml-deployment/gpu-resource-optimizer/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill gpu-resource-optimizer. Copyright stays with the author (MIT).

Gpu Resource Optimizer

Name: gpu-resource-optimizer
Author: jeremylongshore

Overview

This skill provides automated assistance for gpu resource optimizer tasks within the ML Deployment domain.

When to Use

This skill activates automatically when you:

Mention "gpu resource optimizer" in your request
Ask about gpu resource optimizer patterns or best practices
Need help with machine learning deployment skills covering model serving, mlops pipelines, monitoring, and production optimization.

Instructions

Provides step-by-step guidance for gpu resource optimizer
Follows industry best practices and patterns
Generates production-ready code and configurations
Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with gpu resource optimizer" 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

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gpu-resource-optimizer

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