Official agent skill

Gke Storage

by google in google/skills

Manages GKE storage, including PVCs, PersistentVolumes, and Filestore.

OfficialApache-2.0Auto-check passedDatabases

Install Gke Storage

skills CLI
$ npx skills add google/skills --skill gke-storage -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install google/skills gke-storage --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cloud/gke-storage .claude/skills/gke-storage && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
gke-storage
GitHub stars
21k
Token cost
~1.8k tokens
SKILL.md length
552 words
Files
1
Skills in repo
145
Repo updated
First seen
Licence
Apache-2.0

At a glance

Manages GKE storage, including PVCs, PersistentVolumes, and Filestore.

  • Works in 7 steps: Always enable volume expansion: Set… → Use regional PDs for production:… → Use WaitForFirstConsumer: Ensures the PV… → …
  • Configuring GKE storage
  • SKILL.md covers Golden Path Storage Defaults, StorageClasses, PersistentVolumeClaims and Volume Expansion, plus 2 more sections
  • Calls kubectl

What it does

Gke Storage is an agent skill from google/skills, published by the product's own GitHub organization. Manages GKE storage, including PVCs, PersistentVolumes, and Filestore. Use when configuring GKE storage or creating PVCs. For GCS FUSE mounts, use google-cloud-storage-fuse. For diagnosing storage failures (volume attach/mount errors, disk performance/node storage pressure, or Cloud Storage FUSE OOM), use gke-storage-troubleshooting. Don't use for database administration or replication strategies outside volume provisioning context.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Databases, covering Database administration. It works with Google Kubernetes Engine, Google Cloud and Kubernetes. The repository describes itself as: Agent Skills for Google products and technologies. The licence is Apache-2.0.

When your agent uses it

  • Configuring GKE storage
  • Database administration
  • Replication strategies outside volume provisioning context

Example prompts

  • “Use the gke-storage skill to manage GKE storage, including PVCs, PersistentVolumes, and Filestore”
  • “/gke-storage”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Always enable volume expansion: Set allowVolumeExpansion: true on all
  2. Use regional PDs for production: replication-type: regional-pd
  3. Use WaitForFirstConsumer: Ensures the PV is provisioned in the same
  4. Choose the right disk type: pd-ssd for databases, pd-balanced
  5. Use Filestore for shared access: When multiple pods need to read/write
  6. Use GCS FUSE for data pipelines: Mount buckets directly for ML training
  7. Back up PVCs: Use Backup for GKE (see the gke-backup-dr skill) to

What it can do on your machine

Read from SKILL.md and the folder at commit 8a1ac05. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • kubectl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use kubectl, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Gke Storage loads about 1.8k tokens when it runs. Until then it costs about 112 tokens; SKILL.md has 552 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~112
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from google/skills at commit 8a1ac05, republished under its Apache-2.0 licence (© google). 552 words, ~1,752 tokens.

Download SKILL.mdSave it as .claude/skills/gke-storage/SKILL.md (or your agent's skills folder).
name
gke-storage
description
Manages GKE storage, including PVCs, PersistentVolumes, and Filestore. Use when configuring GKE storage or creating PVCs. For GCS FUSE mounts, use google-cloud-storage-fuse. For diagnosing storage failures (volume attach/mount errors, disk performance/node storage pressure, or Cloud Storage FUSE OOM), use gke-storage-troubleshooting. Don't use for database administration or replication strategies outside volume provisioning context.
metadata.version
1.0.2
metadata.category
Storage

GKE Storage

Routing Note: For Cloud Storage FUSE (gcsfuse) mounts or the GKE gcsfuse.csi.storage.gke.io CSI driver, open google-cloud-storage-fuse/SKILL.md.

This reference covers storage configuration for GKE clusters including persistent disks, file storage, and cloud storage integration.

MCP Tools: apply_k8s_manifest, get_k8s_resource, describe_k8s_resource, get_cluster

Golden Path Storage Defaults

The golden path Autopilot config enables these CSI drivers:

DriverGolden PathAccess ModeUse Case
Compute EngineEnabled (default)ReadWriteOnceBlock storage for
: Persistent Disk : : : databases, :
: CSI : : : single-pod workloads :
Google CloudEnabledReadWriteManyShared NFS for
: Filestore CSI : : : multi-pod access :
Cloud StorageEnabledReadWriteMany /Mount GCS buckets as
: FUSE CSI : : ReadOnlyMany : volumes :
ParallelstoreEnabledReadWriteManyHigh-performance
: CSI : : : parallel file system :
Boot disk typepd-balancedN/ANode boot disks

StorageClasses

Default StorageClasses

GKE provides built-in StorageClasses:

StorageClassDisk TypeUse Case
standard-rwopd-standardCost-effective, low IOPS
premium-rwopd-ssdHigh IOPS, databases
standard-rwxFilestore (Basic HDD)Shared NFS
premium-rwxFilestore (Basic SSD)Shared NFS, higher performance
Custom StorageClass
yaml
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
  name: fast-regional
provisioner: pd.csi.storage.gke.io
parameters:
  type: pd-ssd
  replication-type: regional-pd    # Replicate across 2 zones
volumeBindingMode: WaitForFirstConsumer
allowVolumeExpansion: true         # Always enable for production

PersistentVolumeClaims

Block Storage (ReadWriteOnce)
yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: database-pvc
spec:
  accessModes:
  - ReadWriteOnce
  storageClassName: premium-rwo
  resources:
    requests:
      storage: 100Gi
Shared File Storage (ReadWriteMany via Filestore)
yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: shared-data
spec:
  accessModes:
  - ReadWriteMany
  storageClassName: standard-rwx
  resources:
    requests:
      storage: 1Ti    # Filestore minimum is 1 TiB for Basic tier
GCS Bucket Mount (Cloud Storage FUSE)

Mount a GCS bucket as a volume without a PVC:

yaml
apiVersion: v1
kind: Pod
metadata:
  name: gcs-reader
  annotations:
    gke-gcsfuse/volumes: "true"
spec:
  containers:
  - name: reader
    image: busybox
    command: ["ls", "/data"]
    volumeMounts:
    - name: gcs-bucket
      mountPath: /data
  volumes:
  - name: gcs-bucket
    csi:
      driver: gcsfuse.csi.storage.gke.io
      readOnly: true
      volumeAttributes:
        bucketName: <BUCKET_NAME>

Requires Workload Identity for the pod's service account to have storage.objectViewer on the bucket.

Volume Expansion

If allowVolumeExpansion: true is set on the StorageClass, resize by updating the PVC:

bash
# kubectl
kubectl patch pvc <PVC_NAME> -p '{"spec":{"resources":{"requests":{"storage":"200Gi"}}}}'
# MCP (preferred)
patch_k8s_resource(parent="...", resourceType="persistentvolumeclaim", name="<PVC_NAME>",
  patch='{"spec":{"resources":{"requests":{"storage":"200Gi"}}}}')

Kubernetes automatically resizes the filesystem.

Stateful Storage & Capacity Constraints

When configuring storage for stateful workloads, keep the following capacity and scheduling constraints in mind:

  • Existing zonal PVs pin the workload to a zone: A Pod that uses an existing zonal PersistentVolume (for example, in europe-north1-b) can only run in that zone. The cluster autoscaler can't work around a capacity shortage by adding nodes in another zone; any fallback must be in the same zone.
  • Use automated disk type selection and topology-aware scheduling for new workloads: Use volumeBindingMode: WaitForFirstConsumer so the volume is created in the zone where the Pod lands. When a ComputeClass mixes machine generations (for example, C4/N4 priority with N2 fallback), configure the StorageClass for automated disk type selection (parameters.type: dynamic with pd-type: pd-balanced, hyperdisk-type: hyperdisk-balanced, disk-type-preference: hyperdisk-type, and use-allowed-disk-topology: "true", GKE 1.35.3-gke.1290000+; or use-allowed-disk-topology: "true" on GKE 1.34.1-gke.2541000+) so the autoscaler only picks nodes that support the disk type and new volumes get a compatible disk type per node.
  • Same-zone PD-type swaps rarely help: Switching a same-zone fallback from pd-ssd to pd-balanced is unlikely to resolve a zonal capacity shortage, because both can be affected by the same zonal constraints. Prefer a fallback to a Hyperdisk-capable machine series (for example, C3 or N4) with hyperdisk-balanced.
  • Check Hyperdisk quotas first: Hyperdisk quotas (for example, HDB-TOTAL-GB, throughput, and IOPS) are separate from Persistent Disk quotas. Verify the regional limits before recommending a Hyperdisk Balanced fallback.
Show full SKILL.md (109 more words)Show less

Best Practices

  1. Always enable volume expansion: Set allowVolumeExpansion: true on all StorageClasses
  2. Use regional PDs for production: replication-type: regional-pd replicates across 2 zones for HA
  3. Use WaitForFirstConsumer: Ensures the PV is provisioned in the same zone as the pod
  4. Choose the right disk type: pd-ssd for databases, pd-balanced (golden path default) for general use, pd-standard for cold storage
  5. Use Filestore for shared access: When multiple pods need to read/write the same files
  6. Use GCS FUSE for data pipelines: Mount buckets directly for ML training data, logs, etc.
  7. Back up PVCs: Use Backup for GKE (see the gke-backup-dr skill) to protect persistent data

© google, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/cloud/gke-storage of google/skills.

Open the folder on GitHubat commit 8a1ac05

Compare with similar skills

Gke Storage next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Gke Storage compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Gke Storage this skillgoogle/skills21k—~1.8kAutomated safety check: PassApache-2.0
Devopsnicepkg/auto-company1922 repos~814Automated safety check: PassMIT
Kcli Cluster Deploymentkarmab/kcli653—~1.5kAutomated safety check: PassApache-2.0
GCP Gkesickn33/agentic-awesome-skills47k2 repos~2.5kAutomated safety check: PassMIT
Apex Azure Cloud Migratejonathan-vella/apex217—~1.2kAutomated safety check: PassMIT
Dt Obs GCPDynatrace/dynatrace-for-ai161—~2.5kAutomated safety check: PassApache-2.0

Similar skills

  • Devops

    nicepkg/auto-company

    Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm).

    192 GitHub starsUsed in 2 repos~814 tokens
    DevOps & CloudAuto-check passed
  • Guides deployment and management of Kubernetes clusters with kcli.

    653 GitHub stars~1.5k tokensUpdated yesterday
    DevOps & CloudAuto-check passed
  • GCP Gke

    sickn33/agentic-awesome-skills

    Deploy and manage Google Kubernetes Engine clusters. An agent skill from sickn33/agentic-awesome-skills.

    47k GitHub starsUsed in 2 repos~2.5k tokens
    DevOps & CloudAuto-check passed
  • Apex Azure Cloud Migrate

    jonathan-vella/apex

    WORKFLOW SKILL — Assess and migrate cross-cloud workloads to Azure: assessments and code conversion from AWS, GCP, Heroku, Kubernetes or Spring.

    217 GitHub stars~1.2k tokensUpdated today
    DevOps & CloudAuto-check passed
  • Dt Obs GCP

    Dynatrace/dynatrace-for-ai

    GCP cloud resources including Compute Engine, GKE, Cloud Run, Pub/Sub, VPC networking, DNS, IAM, Secret Manager, and monitoring.

    161 GitHub stars~2.5k tokensUpdated 6 days ago
    DevOps & CloudAuto-check passed
  • Mail Time

    veliovgroup/mail-time

    A skill your agent uses when building, wiring, reviewing, or debugging MailTime and ostrio:mailer email queues for horizontally scaled Node.js, Bun, or Meteor apps.

    143 GitHub stars~1k tokensUpdated 6 days ago
    DatabasesAuto-check passed

More from google/skills

All 145 skills in this repo
  • Official

    Manages Google Cloud Privileged Access Manager entitlements and grants: create and edit entitlements, request temporary access, and approve or deny pending grants.

    21k GitHub stars~3.2k tokensUpdated today
    Auto-check passed
  • Official

    Writes Terraform alerting policies for AI agents that emit OpenTelemetry metrics, covering reliability, cost, safety, security and quality signals on Google Cloud.

    21k GitHub stars~4.2k tokensUpdated today
    Auto-check passed
  • Official

    Deploys open models or custom weights from Model Garden to Agent Platform endpoints, checks deployment status and cleans up endpoints, confirming before any change.

    21k GitHub stars~5.1k tokensUpdated today
    Auto-check passed
  • Official

    Searches, manages and scaffolds skills in the Gemini Enterprise Agent Platform Skill Registry using bundled Python scripts and Google Cloud credentials.

    21k GitHub stars~584 tokensUpdated today
    Auto-check passed
  • Designs GCP infrastructure as local Terraform, validates and scans it against best practices, then imports it to Application Design Center for deployment and troubleshooting.

    21k GitHub stars~4.4k tokensUpdated today
    Auto-check passed
  • Official

    Analyzes BigQuery slot use, query costs and execution bottlenecks from INFORMATION_SCHEMA to diagnose slow queries, slot contention and unpartitioned scans.

    21k GitHub stars~2.3k tokensUpdated today
    Auto-check passed

Categories

Questions about Gke Storage

What does Gke Storage do?

Manages GKE storage, including PVCs, PersistentVolumes, and Filestore. Gke Storage is an agent skill from google/skills, published by the product's own GitHub organization. Manages GKE storage, including PVCs, PersistentVolumes, and Filestore.

When should I use Gke Storage?

Gke Storage fits situations like: configuring GKE storage; database administration; replication strategies outside volume provisioning context.

How do I install Gke Storage in Claude Code?

Run `npx skills add google/skills --skill gke-storage -a claude-code`. Or copy the skill folder (skills/cloud/gke-storage in google/skills) into .claude/skills/gke-storage in your project. Claude Code loads it when a task matches its description.

How do I install Gke Storage in Codex?

Run `npx skills add google/skills --skill gke-storage -a codex`. Or copy the skill folder (skills/cloud/gke-storage in google/skills) into .agents/skills/gke-storage in your project. Codex loads it when a task matches its description.

Can I use Gke Storage in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add google/skills --skill gke-storage -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gke-storage, .gemini/skills/gke-storage, .github/skills/gke-storage and .opencode/skills/gke-storage in your project.

What does Gke Storage need to run?

Going by SKILL.md and its folder, Gke Storage needs the command-line tools its instructions call (kubectl).

Does Gke Storage access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Gke Storage safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Gke Storage use?

Gke Storage is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Gke Storage use?

About 1.8k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Gke Storage?

Skills that share tags, products or a category with Gke Storage: Devops (nicepkg/auto-company, 192 stars), Kcli Cluster Deployment (karmab/kcli, 653 stars), GCP Gke (sickn33/agentic-awesome-skills, 47k stars) and Apex Azure Cloud Migrate (jonathan-vella/apex, 217 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gke Storage?

google (a GitHub organization, an official publisher) maintains it in google/skills, which has 20,994 GitHub stars. The repository holds 145 skills in this directory. The repository was last updated on October 6, 2026.

Source: google/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.