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gke-cost-analysisby GoogleOfficialDataGitHub stars: 21.2k

GKE Cost Analysis skill: what it does and how to install it

Analyses Google Kubernetes Engine costs across clusters, namespaces and workloads using BigQuery billing exports and live utilisation metrics.

Summary generated from the skill's documentation.

Install

$ npx skills add google/skills --skill gke-cost-analysis

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Analyses GKE costs with BigQuery billing exports, cost-allocation labels and read-only gcloud and kubectl checks. It provides bq query templates and explains Autopilot versus Standard pricing, budgets, credits, requests and actual utilisation.

When to use it. Use it for historical cost breakdowns, cost spikes and workload or namespace drivers. It does not apply rightsizing or other optimisation changes; use the separate cost-optimisation skill for those.

History

Repo stars

21.2kAbout +2.9k since 16 Jul 2026

Before 1 Oct 2026 the curve is estimated from public event data.

Stars are counted for the whole repository, which holds 86 skills.

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Repo stars by day
DateRepo stars
12 Oct 202621,200
11 Oct 202621,140
10 Oct 202621,101
9 Oct 202621,071
8 Oct 202621,041
7 Oct 202621,006
6 Oct 202620,967
5 Oct 202620,939
4 Oct 202620,924
3 Oct 202620,865
2 Oct 202620,592
1 Oct 202620,557
24 Sept 2026 (estimated)20,498
17 Sept 2026 (estimated)20,452
10 Sept 2026 (estimated)19,878
3 Sept 2026 (estimated)18,833
27 Aug 2026 (estimated)18,776
20 Aug 2026 (estimated)18,765
13 Aug 2026 (estimated)18,765
6 Aug 2026 (estimated)18,294
30 Jul 2026 (estimated)18,271
23 Jul 2026 (estimated)18,271
16 Jul 2026 (estimated)18,260

Installs

4.5k

Tracking since . A chart appears once there are 7 days of data.

Installs via skills.sh

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