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:20261010.fbd1f7d

Pins git:20261010.fbd1f7d 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
third_party/google-skills/gke-inference/SKILL.md
Versions recorded
1
Latest version
git:20261010.fbd1f7d, committed Oct 10, 2026
Size
7,526 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:** `apply_k8s_manifest`, `get_k8s_resource`, `get_k8s_logs`,
> `get_k8s_rollout_status`, `describe_k8s_resource`, `list_k8s_events`.
> **CLI-only:** `gcloud container ai profiles *`

## 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

## Workflow

### 1. Discovery: Find Models and Hardware

```bash
# List all supported models
gcloud container ai profiles models list --quiet

# Find valid accelerator/server combinations for a model
gcloud container ai profiles list --model=<MODEL_NAME> --quiet

# Example: what can run Gemma 2 9B?
gcloud container ai profiles list --model=gemma-2-9b-it --quiet
```

### 2. Generate Manifest

```bash
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add gke-labs/kube-agents/gke-inference@sha256:050cda071d12fba3

The line at the top of this page pins the label git:20261010.fbd1f7d, 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_4kicagolt3kduf32.svg)](https://markdownregistry.com/a/art_4kicagolt3kduf32)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 10, 2026.

versioncommittedcommitsizeaudit
git:20261010.fbd1f7d latest2026-10-10 fbd1f7d 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 (7526 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_4kicagolt3kduf32
GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/gke-inference
GET https://markdownregistry.com/api/v1/blob/050cda071d12fba3239f6c0402ebddd27bc41f9a4651970e299dc8dea3faa586

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

Other files named gke-inference

gke-inference SKILL.md skill
gke-labs/kube-agents · agents/platform/skills/gke-inference/SKILL.md · Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. Use when deploying GKE…
git:20261019.982e177 · audit A · 124 stars

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