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gke-compute-classes

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About gke-compute-classes

G

gke-compute-classes

Configures, optimizes, and troubleshoots GKE ComputeClasses

GKE ComputeClasses is an agent skill for configuring, optimizing and troubleshooting ComputeClasses on Google Kubernetes Engine. A ComputeClass describes the kinds of nodes a workload should run on, so you can ask for Spot VMs with an on-demand fallback to control cost, target specific accelerators such as L4, H100 or v5p TPUs for GPU and TPU workloads, pick a machine family such as c3, c4 or n4 for performance, or place workloads in a particular zone next to zonal resources. The skill's rules set an engagement order of giving a generalized answer first and refining it only if needed. It also tells the agent to verify subtle or undocumented behavior directly in the open-source cluster autoscaler code, using a local clone or the raw files on GitHub, and to report the upstream commit and date when a behavior changed. A code index reference maps packages and symbols. It is intended for platform engineers who want predictable cost and accelerator placement on GKE. It is published by Google on skills.sh under the google skills repository, with about 6.1K installs. The skills.sh listing shows Gen Agent Trust Hub and Socket passing, with Snyk showing Warn.

View gke-compute-classesAll AI Skills apps
Price
Free
Made by
google
Category
AI Skills
Website
github.com/google/skills/gke-compute-classes