Devops
nicepkg/auto-company
Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm).
Deploy and manage Google Kubernetes Engine clusters. An agent skill from sickn33/agentic-awesome-skills.
$ npx skills add sickn33/agentic-awesome-skills --skill gcp-gke -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills gcp-gke --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gcp-gke .claude/skills/gcp-gke && 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 "gcp-gke" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gcp-gke into .claude/skills/gcp-gke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-gke", 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/sickn33/agentic-awesome-skills/tree/main/skills/gcp-gkeType 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 sickn33/agentic-awesome-skills --skill gcp-gke -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills gcp-gke --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/gcp-gke .agents/skills/gcp-gke && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gcp-gke" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gcp-gke into .agents/skills/gcp-gke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-gke", 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 sickn33/agentic-awesome-skills --skill gcp-gke -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills gcp-gke --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/gcp-gke .cursor/skills/gcp-gke && 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 "gcp-gke" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gcp-gke into .cursor/skills/gcp-gke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-gke", 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/sickn33/agentic-awesome-skills.git --path skills/gcp-gke--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 sickn33/agentic-awesome-skills --skill gcp-gke -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills gcp-gke --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/gcp-gke .gemini/skills/gcp-gke && 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 "gcp-gke" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gcp-gke into .gemini/skills/gcp-gke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-gke", 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 sickn33/agentic-awesome-skills gcp-gkeInstalls 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 sickn33/agentic-awesome-skills --skill gcp-gke -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/gcp-gke .github/skills/gcp-gke && 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 "gcp-gke" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gcp-gke into .github/skills/gcp-gke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-gke", 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 sickn33/agentic-awesome-skills --skill gcp-gke -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills gcp-gke --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/gcp-gke .opencode/skills/gcp-gke && 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 "gcp-gke" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/gcp-gke into .opencode/skills/gcp-gke/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-gke", 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.
gcp-gkeDeploy and manage Google Kubernetes Engine clusters. An agent skill from sickn33/agentic-awesome-skills.
GCP Gke is an agent skill from sickn33/agentic-awesome-skills. Deploy and manage Google Kubernetes Engine clusters. Configure node pools, networking, and workload identity. Use when running Kubernetes on GCP.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
It sits in DevOps & Cloud, covering Container orchestration. It works with Google Kubernetes Engine, Google Cloud and Kubernetes. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
Read from SKILL.md and the folder at commit 1c7bdea. 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:
gcloudkubectlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
googleapis.comFrom 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.
Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
From compatibility in the SKILL.md frontmatter.
GCP Gke loads about 2.5k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 320 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 sickn33/agentic-awesome-skills at commit 1c7bdea, republished under its MIT licence (© sickn33). 320 words, ~2,510 tokens.
.claude/skills/gcp-gke/SKILL.md (or your agent's skills folder).Deploy, operate, and scale managed Kubernetes clusters on Google Cloud Platform.
gcloud) and kubectl installedroles/container.admin for cluster managementgcloud services enable container.googleapis.com compute.googleapis.com
gcloud components install kubectl| Feature | Standard | Autopilot |
|---|---|---|
| Node management | You manage node pools | Google manages nodes |
| Pricing | Pay per node (VM) | Pay per pod resource request |
| GPU/TPU | Full support | Supported (with limits) |
| DaemonSets | Allowed | Restricted |
| Best for | Full control, specialized HW | Hands-off, cost-optimized |
gcloud container clusters create prod-cluster \
--region=us-central1 --num-nodes=2 \
--machine-type=e2-standard-4 --disk-size=100 \
--enable-autoscaling --min-nodes=1 --max-nodes=5 \
--enable-autorepair --enable-autoupgrade \
--release-channel=regular \
--workload-pool=${PROJECT_ID}.svc.id.goog \
--enable-ip-alias --enable-network-policy \
--enable-shielded-nodes \
--logging=SYSTEM,WORKLOAD --monitoring=SYSTEM,WORKLOAD \
--labels=env=production,team=platform
gcloud container clusters get-credentials prod-cluster --region=us-central1gcloud container clusters create-auto autopilot-prod \
--region=us-central1 --release-channel=regular \
--workload-pool=${PROJECT_ID}.svc.id.goog \
--network=my-vpc --subnetwork=gke-subnet# High-memory pool with taint
gcloud container node-pools create highmem-pool \
--cluster=prod-cluster --region=us-central1 \
--machine-type=n2-highmem-8 --disk-size=200 --disk-type=pd-ssd \
--num-nodes=1 --enable-autoscaling --min-nodes=0 --max-nodes=4 \
--node-labels=workload=memory-intensive \
--node-taints=dedicated=highmem:NoSchedule
# GPU pool
gcloud container node-pools create gpu-pool \
--cluster=prod-cluster --region=us-central1 \
--machine-type=n1-standard-8 \
--accelerator=type=nvidia-tesla-t4,count=1 \
--num-nodes=0 --enable-autoscaling --min-nodes=0 --max-nodes=4 \
--node-taints=nvidia.com/gpu=present:NoSchedule
# Spot pool for batch workloads
gcloud container node-pools create spot-pool \
--cluster=prod-cluster --region=us-central1 \
--machine-type=e2-standard-4 --spot \
--num-nodes=0 --enable-autoscaling --min-nodes=0 --max-nodes=20 \
--node-taints=cloud.google.com/gke-spot=true:NoSchedule# Create GSA and grant permissions
gcloud iam service-accounts create app-gsa
gcloud projects add-iam-policy-binding ${PROJECT_ID} \
--member="serviceAccount:app-gsa@${PROJECT_ID}.iam.gserviceaccount.com" \
--role="roles/storage.objectViewer"
# Create KSA and bind to GSA
kubectl create namespace myapp
kubectl create serviceaccount app-ksa --namespace=myapp
gcloud iam service-accounts add-iam-policy-binding \
app-gsa@${PROJECT_ID}.iam.gserviceaccount.com \
--role=roles/iam.workloadIdentityUser \
--member="serviceAccount:${PROJECT_ID}.svc.id.goog[myapp/app-ksa]"
kubectl annotate serviceaccount app-ksa --namespace=myapp \
iam.gke.io/gcp-service-account=app-gsa@${PROJECT_ID}.iam.gserviceaccount.com# deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: web-app
namespace: myapp
spec:
replicas: 3
selector:
matchLabels: { app: web-app }
template:
metadata:
labels: { app: web-app }
spec:
serviceAccountName: app-ksa
containers:
- name: web
image: us-central1-docker.pkg.dev/PROJECT_ID/repo/web-app:v1.2.0
ports: [{ containerPort: 8080 }]
resources:
requests: { cpu: 250m, memory: 512Mi }
limits: { cpu: 500m, memory: 1Gi }
readinessProbe:
httpGet: { path: /healthz, port: 8080 }
initialDelaySeconds: 5
livenessProbe:
httpGet: { path: /healthz, port: 8080 }
initialDelaySeconds: 15
topologySpreadConstraints:
- maxSkew: 1
topologyKey: topology.kubernetes.io/zone
whenUnsatisfiable: DoNotSchedule
labelSelector:
matchLabels: { app: web-app }
---
apiVersion: v1
kind: Service
metadata: { name: web-app, namespace: myapp }
spec:
selector: { app: web-app }
ports: [{ port: 80, targetPort: 8080 }]
type: ClusterIPapiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: web-ingress
namespace: myapp
annotations:
kubernetes.io/ingress.class: "gce"
networking.gke.io/managed-certificates: "web-cert"
kubernetes.io/ingress.global-static-ip-name: "web-static-ip"
spec:
rules:
- host: app.example.com
http:
paths:
- path: /
pathType: Prefix
backend:
service: { name: web-app, port: { number: 80 } }
---
apiVersion: networking.gke.io/v1
kind: ManagedCertificate
metadata: { name: web-cert, namespace: myapp }
spec:
domains: [app.example.com]gcloud compute addresses create web-static-ip --globalresource "google_container_cluster" "primary" {
name = "prod-cluster"
location = "us-central1"
release_channel { channel = "REGULAR" }
workload_identity_config { workload_pool = "${var.project_id}.svc.id.goog" }
network = google_compute_network.vpc.name
subnetwork = google_compute_subnetwork.gke.name
ip_allocation_policy {
cluster_secondary_range_name = "pods"
services_secondary_range_name = "services"
}
private_cluster_config {
enable_private_nodes = true
master_ipv4_cidr_block = "172.16.0.0/28"
}
network_policy { enabled = true }
logging_config { enable_components = ["SYSTEM_COMPONENTS", "WORKLOADS"] }
monitoring_config {
enable_components = ["SYSTEM_COMPONENTS", "WORKLOADS"]
managed_prometheus { enabled = true }
}
remove_default_node_pool = true
initial_node_count = 1
}
resource "google_container_node_pool" "primary" {
name = "primary-pool"
cluster = google_container_cluster.primary.name
location = "us-central1"
initial_node_count = 2
autoscaling { min_node_count = 1; max_node_count = 5 }
management { auto_repair = true; auto_upgrade = true }
node_config {
machine_type = "e2-standard-4"
disk_size_gb = 100
disk_type = "pd-balanced"
oauth_scopes = ["https://www.googleapis.com/auth/cloud-platform"]
shielded_instance_config {
enable_secure_boot = true
enable_integrity_monitoring = true
}
metadata = { disable-legacy-endpoints = "true" }
}
}
resource "google_compute_subnetwork" "gke" {
name = "gke-subnet"
ip_cidr_range = "10.0.0.0/20"
region = "us-central1"
network = google_compute_network.vpc.id
secondary_ip_range { range_name = "pods"; ip_cidr_range = "10.4.0.0/14" }
secondary_ip_range { range_name = "services"; ip_cidr_range = "10.8.0.0/20" }
}gcloud container clusters list
gcloud container clusters upgrade prod-cluster --region=us-central1 --master
kubectl top nodes && kubectl top pods --namespace=myapp
kubectl scale deployment web-app --replicas=5 --namespace=myapp
kubectl autoscale deployment web-app --namespace=myapp --min=3 --max=20 --cpu-percent=70
kubectl logs -f deployment/web-app --namespace=myapp --all-containers| Symptom | Cause | Fix |
|---|---|---|
Pods stuck in Pending | No nodes with enough resources | Check autoscaler; add larger node pool; verify resource requests |
ImagePullBackOff | Wrong image path or missing AR access | Verify image URL; grant roles/artifactregistry.reader to node SA |
| Workload Identity wrong account | KSA annotation missing | Re-annotate KSA; restart pods to pick up new token |
Nodes NotReady | Disk/memory pressure or network issue | Run kubectl describe node; check taints and conditions |
| Ingress returns 502 | Backend pods failing health check | Verify readiness probe; check NEG health in Console |
| Cluster create quota error | Insufficient regional CPU/IP quota | Request quota increase in IAM & Admin > Quotas |
| Network policy not working | Not enabled on cluster | Recreate with --enable-network-policy or use Dataplane V2 |
© sickn33, MIT. 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/gcp-gke of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 1c7bdea
We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
GCP Gke 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 |
|---|---|---|---|---|---|---|
| GCP Gke this skillsickn33/agentic-awesome-skills | 47k | 2 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Devopsnicepkg/auto-company | 195 | 2 repos | ~814 | Automated safety check: Pass | MIT | |
| Kcli Cluster Deploymentkarmab/kcli | 653 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Gke Cost Analysisgoogle/skills | 21k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Gke AI Troubleshooting Tpu Mxla Hanggoogle/skills | 21k | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | |
| Gke AI Troubleshooting Tpu Performance Degradationgoogle/skills | 21k | — | ~3.5k | 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.
google/skills
Answer natural language questions and perform analysis on GKE cluster and workload costs using BigQuery billing exports, cost allocation data, and live cluster monitoring metrics.
google/skills
Diagnose GKE Cloud TPU multi-slice training hangs (Megascale HANGDETECTED logs and hang monitored events) using the ML Diagnostics Megascale XLA (MXLA) Hang Analyzer (gcloud alpha mldiagnostics…
google/skills
Diagnose GKE Cloud TPU training throughput drops and step-time regressions (15%+ TPU duty-cycle drop) using ML Diagnostics Workload Monitoring (gcloud alpha mldiagnostics monitored-events /…
google/skills
Diagnoses GKE workload failures (CrashLoopBackOff, OOMKilled, ImagePullBackOff, Pending, etc.) via logs and events.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Categories
Deploy and manage Google Kubernetes Engine clusters. An agent skill from sickn33/agentic-awesome-skills. GCP Gke is an agent skill from sickn33/agentic-awesome-skills. Deploy and manage Google Kubernetes Engine clusters.
GCP Gke fits situations like: running Kubernetes on GCP; tasks that involve Container orchestration.
Run `npx skills add sickn33/agentic-awesome-skills --skill gcp-gke -a claude-code`. Or copy the skill folder (skills/gcp-gke in sickn33/agentic-awesome-skills) into .claude/skills/gcp-gke in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill gcp-gke -a codex`. Or copy the skill folder (skills/gcp-gke in sickn33/agentic-awesome-skills) into .agents/skills/gcp-gke 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 sickn33/agentic-awesome-skills --skill gcp-gke -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gcp-gke, .gemini/skills/gcp-gke, .github/skills/gcp-gke and .opencode/skills/gcp-gke in your project.
Going by SKILL.md and its folder, GCP Gke needs the command-line tools its instructions call (gcloud and kubectl). Our summary lists: Docker. Compatibility (from SKILL.md): Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled..
SKILL.md names 1 domain. In commands or code: googleapis.com; the agent is likely to contact it when it follows the instructions. 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.
GCP Gke is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 10k 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 GCP Gke: Devops (nicepkg/auto-company, 195 stars), Kcli Cluster Deployment (karmab/kcli, 653 stars), Gke Cost Analysis (google/skills, 21k stars) and Gke AI Troubleshooting Tpu Mxla Hang (google/skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,443 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 10, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.