Devops
nicepkg/auto-company
Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm).
Manages GKE storage, including PVCs, PersistentVolumes, and Filestore.
$ npx skills add google/skills --skill gke-storage -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install google/skills gke-storage --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "gke-storage" agent skill from https://github.com/google/skills/tree/main/skills/cloud/gke-storage into .claude/skills/gke-storage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gke-storage", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/google/skills/tree/main/skills/cloud/gke-storageType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add google/skills --skill gke-storage -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install google/skills gke-storage --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cloud/gke-storage .agents/skills/gke-storage && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gke-storage" agent skill from https://github.com/google/skills/tree/main/skills/cloud/gke-storage into .agents/skills/gke-storage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gke-storage", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add google/skills --skill gke-storage -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install google/skills gke-storage --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cloud/gke-storage .cursor/skills/gke-storage && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gke-storage" agent skill from https://github.com/google/skills/tree/main/skills/cloud/gke-storage into .cursor/skills/gke-storage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gke-storage", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/google/skills.git --path skills/cloud/gke-storage--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add google/skills --skill gke-storage -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install google/skills gke-storage --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cloud/gke-storage .gemini/skills/gke-storage && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gke-storage" agent skill from https://github.com/google/skills/tree/main/skills/cloud/gke-storage into .gemini/skills/gke-storage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gke-storage", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install google/skills gke-storageInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add google/skills --skill gke-storage -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cloud/gke-storage .github/skills/gke-storage && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gke-storage" agent skill from https://github.com/google/skills/tree/main/skills/cloud/gke-storage into .github/skills/gke-storage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gke-storage", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add google/skills --skill gke-storage -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install google/skills gke-storage --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cloud/gke-storage .opencode/skills/gke-storage && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gke-storage" agent skill from https://github.com/google/skills/tree/main/skills/cloud/gke-storage into .opencode/skills/gke-storage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gke-storage", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
gke-storageManages 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. 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.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 8a1ac05. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
kubectlFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from google/skills at commit 8a1ac05, republished under its Apache-2.0 licence (© google). 552 words, ~1,752 tokens.
.claude/skills/gke-storage/SKILL.md (or your agent's skills folder).Routing Note: For Cloud Storage FUSE (
gcsfuse) mounts or the GKEgcsfuse.csi.storage.gke.ioCSI driver, opengoogle-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
The golden path Autopilot config enables these CSI drivers:
| Driver | Golden Path | Access Mode | Use Case |
|---|---|---|---|
| Compute Engine | Enabled (default) | ReadWriteOnce | Block storage for |
| : Persistent Disk : : : databases, : | |||
| : CSI : : : single-pod workloads : | |||
| Google Cloud | Enabled | ReadWriteMany | Shared NFS for |
| : Filestore CSI : : : multi-pod access : | |||
| Cloud Storage | Enabled | ReadWriteMany / | Mount GCS buckets as |
| : FUSE CSI : : ReadOnlyMany : volumes : | |||
| Parallelstore | Enabled | ReadWriteMany | High-performance |
| : CSI : : : parallel file system : | |||
| Boot disk type | pd-balanced | N/A | Node boot disks |
GKE provides built-in StorageClasses:
| StorageClass | Disk Type | Use Case |
|---|---|---|
standard-rwo | pd-standard | Cost-effective, low IOPS |
premium-rwo | pd-ssd | High IOPS, databases |
standard-rwx | Filestore (Basic HDD) | Shared NFS |
premium-rwx | Filestore (Basic SSD) | Shared NFS, higher performance |
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 productionapiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: database-pvc
spec:
accessModes:
- ReadWriteOnce
storageClassName: premium-rwo
resources:
requests:
storage: 100GiapiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: shared-data
spec:
accessModes:
- ReadWriteMany
storageClassName: standard-rwx
resources:
requests:
storage: 1Ti # Filestore minimum is 1 TiB for Basic tierMount a GCS bucket as a volume without a PVC:
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.objectVieweron the bucket.
If allowVolumeExpansion: true is set on the StorageClass, resize by updating
the PVC:
# 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.
When configuring storage for stateful workloads, keep the following capacity and scheduling constraints in mind:
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.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.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.HDB-TOTAL-GB, throughput, and IOPS) are separate from Persistent Disk quotas. Verify the regional limits before recommending a Hyperdisk Balanced fallback.allowVolumeExpansion: true on all
StorageClassesreplication-type: regional-pd
replicates across 2 zones for HAWaitForFirstConsumer: Ensures the PV is provisioned in the same
zone as the podpd-ssd for databases, pd-balanced
(golden path default) for general use, pd-standard for cold storagegke-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
Just SKILL.md in skills/cloud/gke-storage of google/skills.
Open the folder on GitHubat commit 8a1ac05
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Gke Storage this skillgoogle/skills | 21k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Devopsnicepkg/auto-company | 192 | 2 repos | ~814 | Automated safety check: Pass | MIT | |
| Kcli Cluster Deploymentkarmab/kcli | 653 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| GCP Gkesickn33/agentic-awesome-skills | 47k | 2 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Apex Azure Cloud Migratejonathan-vella/apex | 217 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Dt Obs GCPDynatrace/dynatrace-for-ai | 161 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 |
nicepkg/auto-company
Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm).
karmab/kcli
Guides deployment and management of Kubernetes clusters with kcli.
sickn33/agentic-awesome-skills
Deploy and manage Google Kubernetes Engine clusters. An agent skill from sickn33/agentic-awesome-skills.
jonathan-vella/apex
WORKFLOW SKILL — Assess and migrate cross-cloud workloads to Azure: assessments and code conversion from AWS, GCP, Heroku, Kubernetes or Spring.
Dynatrace/dynatrace-for-ai
GCP cloud resources including Compute Engine, GKE, Cloud Run, Pub/Sub, VPC networking, DNS, IAM, Secret Manager, and monitoring.
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.
google/skills
Manages Google Cloud Privileged Access Manager entitlements and grants: create and edit entitlements, request temporary access, and approve or deny pending grants.
google/skills
Writes Terraform alerting policies for AI agents that emit OpenTelemetry metrics, covering reliability, cost, safety, security and quality signals on Google Cloud.
google/skills
Deploys open models or custom weights from Model Garden to Agent Platform endpoints, checks deployment status and cleans up endpoints, confirming before any change.
google/skills
Searches, manages and scaffolds skills in the Gemini Enterprise Agent Platform Skill Registry using bundled Python scripts and Google Cloud credentials.
google/skills
Designs GCP infrastructure as local Terraform, validates and scans it against best practices, then imports it to Application Design Center for deployment and troubleshooting.
google/skills
Analyzes BigQuery slot use, query costs and execution bottlenecks from INFORMATION_SCHEMA to diagnose slow queries, slot contention and unpartitioned scans.
Categories
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.
Gke Storage fits situations like: configuring GKE storage; database administration; replication strategies outside volume provisioning context.
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.
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.
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.
Going by SKILL.md and its folder, Gke Storage needs the command-line tools its instructions call (kubectl).
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.
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.
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.
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.
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.
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.