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gpu-resource-optimizer

Gpu Resource Optimizer - Auto-activating skill for ML Deployment. Triggers on: gpu resource optimizer, gpu resource optimizer Part of the ML Deployment skill category.

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill gpu-resource-optimizer
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Gpu Resource Optimizer

Purpose

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.

Capabilities

  • 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

Example Triggers

  • "Help me with gpu resource optimizer"
  • "Set up gpu resource optimizer"
  • "How do I implement gpu resource optimizer?"

Related Skills

Part of the ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production

Repository
github.com/jeremylongshore/claude-code-plugins-plus-skills
Last updated
Created

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.