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gke-cost-analysis

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About gke-cost-analysis

G

gke-cost-analysis

Answer natural language questions and perform analysis on GKE cluster

GKE cost analysis is an agent skill for answering natural-language questions about what Google Kubernetes Engine clusters and workloads cost. Typical questions include what your costs are across projects, which namespace is the most expensive, and why a cluster's cost has spiked. The skill gives a structured answer built from three sources: BigQuery billing exports, cost allocation metadata that ties spending to namespaces and labels, and live cluster metrics that show how much of what you pay for is actually used. Its instructions describe how to handle a cost question step by step, so the answer comes from data rather than guesses. It is useful for platform and finance teams that want to see where Kubernetes spend goes and to explain changes in it. The skill works alongside the GKE cost optimization skill, which covers the fixes once waste is found. It is published by Google on skills.sh under the google skills repository, with about 4.7K installs. The skills.sh listing shows Gen Agent Trust Hub, Socket and Snyk all passing.

View gke-cost-analysisAll AI Skills apps
Price
Free
Made by
google
Category
AI Skills
Website
github.com/google/skills/gke-cost-analysis