gke-cost-analysis

Analyze GKE infrastructure costs from BigQuery billing export datasets.

42|32|Updated May 7, 2026
One-click install
npx skills add https://github.com/gke-labs/kube-agents --skill gke-cost-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gke-cost-analysis
Source: https://github.com/gke-labs/kube-agents/tree/main/agents/platform/skills/gke-cost-analysis
Command: npx skills add https://github.com/gke-labs/kube-agents --skill gke-cost-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill removes the complexity of manual billing dashboard navigation by allowing users to query GKE infrastructure costs directly using natural language.

Core Features & Use Cases

  • Natural Language Cost Queries: Translate business questions about GKE spend into precise BigQuery SQL.
  • Granular Cost Allocation: Analyze costs at the namespace and workload level by leveraging GKE cost allocation labels.
  • Use Case: Quickly identify the most expensive deployments in a specific cluster over the last month to inform resource right-sizing efforts.

Quick Start

Ask the agent to calculate the total cost of all workloads in the production namespace for the last 30 days using the BigQuery billing export.

Frequently Asked Questions about gke-cost-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze GKE infrastructure costs by namespace using BigQuery?

To analyze GKE costs by namespace, you can use natural language queries to generate standard SQL against your GCP Billing Detailed BigQuery Export. This requires GKE Cost Allocation labels to be enabled for granular breakdowns.

What do I need to query GKE cloud spend with natural language?

Querying GKE cloud spend requires access to a configured BigQuery billing export table and GKE Cost Allocation enabled. You need these prerequisites to translate business questions into precise SQL queries.

Can I get granular cost allocation for specific GKE workloads and projects?

Yes, granular cost allocation supports cost breakdowns by project, cluster, namespace, and workload type. It leverages standard SQL on GKE cost allocation labels within your BigQuery billing dataset.

What is the best way to find the most expensive deployments in a GKE cluster?

The best way to find expensive deployments is querying your BigQuery billing export with natural language to calculate workload costs. This identifies high-cost deployments in specific clusters over a defined period.

Does this approach work without manual billing dashboard navigation?

Yes, this approach removes the complexity of manual billing dashboard navigation by allowing direct natural language queries. It translates your business questions about GKE spend into precise BigQuery SQL.

Why are my GKE cost allocation queries returning empty results in BigQuery?

Empty results occur if GKE Cost Allocation is not enabled or the BigQuery billing export table is not configured. You must ensure detailed billing export and cluster cost allocation labels are active.