gke-inference SKILL.md skillA

gke-inference from gke-labs/kube-agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add gke-labs/kube-agents/gke-inference@git:20261019.982e177

Pins git:20261019.982e177 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
gke-labs/kube-agents
Path
agents/platform/skills/gke-inference/SKILL.md
Versions recorded
2
Latest version
git:20261019.982e177, committed Oct 19, 2026
First version recorded
Aug 7, 2026
Size
8,076 bytes
Repository stars
124
License
Apache-2.0

Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. Use when deploying GKE inference servers, configuring GKE GPU resources for inference, or deploying LLMs on GKE. Don't use for generic batch jobs or HPC task queues (use gke-batch-hpc instead).

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# GKE AI/ML Inference

This reference covers deploying AI/ML inference workloads on GKE using Google's
Inference Quickstart (GIQ) and best practices for LLM serving.

> **MCP Tools:** `get_k8s_resource`, `get_k8s_logs`, `get_k8s_rollout_status`,
> `describe_k8s_resource`, `list_k8s_events`.
> **CLI-only:** `gcloud container ai profiles *`
>
> A change goes out as a pull request to the GitOps repository, never as a write from here: Kubernetes objects as YAML through `gke-manifest-generation`, cluster settings and other Google Cloud resources as Config Connector YAML through `gcp-config-connector`, opened with `submit-suggestion`. Each profile's config offers only the `gke` MCP server's read tools, and the broker refuses `kubectl` and `gcloud` writes.

## When to Use

-   Deploy an AI model (Llama, Gemma, Mistral, etc.) to GKE
-   Generate optimized Kubernetes manifests for inference
-   Select GPU/TPU accelerators for model serving
-   Configure autoscaling for LLM inference

## Prerequisites

-   A golden path GKE Autopilot cluster (GPU workloads are supported via
    ComputeClasses and NAP)
-   `gcloud` CLI authenticated
-   Sufficient GPU/TPU quota in the target region
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add gke-labs/kube-agents/gke-inference@sha256:433e4c7e8660d116

The line at the top of this page pins the label git:20261019.982e177, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_alrybltzfe3ivkxx.svg)](https://markdownregistry.com/a/art_alrybltzfe3ivkxx)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Aug 7, 2026 and Oct 19, 2026, about one every 73 days.

versioncommittedcommitsizeaudit
git:20261019.982e177 latest2026-10-19 982e177 8,076 BA view · diff
git:20260807.d47bdf12026-08-07 d47bdf1 7,526 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8076 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

gke-labs/kube-agents · 124 stars · license Apache-2.0 · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_alrybltzfe3ivkxx
GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/gke-inference
GET https://markdownregistry.com/api/v1/blob/433e4c7e8660d116029cfc606a63e40d2d7ad0a667b6140138dc5c288d9303bf

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in gke-labs/kube-agents

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