Optimize gpu resource optimizer operations. Auto-activating skill for ML Deployment.
SkillScore100Maintained
Automatic
◆AI Engineer pack
Last verified 8/30/2026
What it changes
Passed 23 of 23 test cases with the skill, and 22 of 23 without it.
Without skill96%
With skill100%
Checks it passed that the model alone missed
Passes providers=['CUDAExecutionProvider'] to the InferenceSession constructor
1 fixed22 passed either way0 still failing0 broke
Pass-rate lift
+4 pp
Tokens
+27%
Agent turns
0%
Response time
-8%
Model gemini-3.6-flashMeasured 8/30/2026v123 of 23 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
A test case the skill fixed. Same model, same prompt, with and without the skill.
Prompt
We are loading an ONNX model for inference in Python. How do we configure the InferenceSession to ensure it bypasses the CPU and uses the GPU via the CUDA execution provider?
What was checked, without and with the skill
Checked
Without skill
With skill
Passes providers=['CUDAExecutionProvider'] to the InferenceSession constructor
Missed
Passed
case-17 · gemini-3.6-flash · 8/30/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md60 linessingle file
Gpu Resource Optimizer
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