ml-workload-cost-optimizer
bycletrics· 54 skills
Specialist in ML training and inference cost -- GPU selection, spot strategies, multi-region training, inference optimization via quantization and batching, and managed-service tradeoffs (SageMaker / Vertex AI / Azure ML).
How to install ml-workload-cost-optimizer?
cletrics/finops-agents/ml-workload-cost-optimizer
$npx -y skills add cletrics/finops-agents --skill ml-workload-cost-optimizerInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/cletrics/finops-agents" --skill "cletrics/finops-agents/ml-workload-cost-optimizer"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/cletrics/finops-agents" that are relevant to the current task. Run `npx skills add "https://github.com/cletrics/finops-agents"` and select the relevant skills, then follow their instructions.
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