google/skillsCommunity
4.9K installs 20.3K GitHub stars
gke-batch-hpc
Configures GKE for batch jobs and high-performance computing workloads. Supports job queues and parallel processing.
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0 up0 down THE AGENT SKILLS DIRECTORY
Small skills.
Big possibilities.
Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Browse all 10815 skills.
google/skillsCommunity
3.9K installs 20.3K GitHub stars
gke-cluster-autoscaler
Guides enabling and optimizing the GKE cluster autoscaler and node auto-provisioning. Troubleshoots scaling failures, zonal capacity shortages, and capacity buffers.
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4.9K installs 20.3K GitHub stars
gke-cluster-creation
Creates GKE environments using templates for Autopilot, Standard Regional, GPU/AI Inference, and AI Hypercompute. Supports cluster mode selection, provisioning, and production readiness audits.
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0
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5K installs 20.3K GitHub stars
gke-compute-classes
Optimizes ComputeClasses for Spot VMs with on-demand fallback, specific GPU or TPU accelerators, and machine families. Covers access restrictions and pending pods associated with automatic node pool creation.
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3.5K installs 20.3K GitHub stars
gke-cost-analysis
Answers cost questions across projects, namespaces, and workloads using BigQuery billing exports and cluster monitoring. Examines budgets and cost drivers such as pod resource requests versus actual utilization.
Community score
0
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3.5K installs 20.3K GitHub stars
gke-cost-optimization
Rightsizes CPU and memory requests and configures Spot VMs, committed use discounts, cost allocation, and quotas. Supports machine type selection and cost optimization for GKE clusters and workloads.
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2K installs 20.3K GitHub stars
gke-custom-golden-image-discovery
Maps GKE versions, operating systems, architectures, accelerators, gVisor, and cgroup settings to golden base image names. Queries GKE base image maps to identify images suitable for custom node creation.
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5K installs 20.3K GitHub stars
gke-golden-path
Guides GKE cluster design using golden path defaults and standard configuration patterns. Supports production readiness checks and comparisons against recommended cluster defaults.
Community score
0
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4.9K installs 20.3K GitHub stars
gke-inference
Configures GKE resources for AI and ML inference workloads. Supports deploying inference servers and LLMs with GPU or TPU acceleration.
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3.1K installs 20.3K GitHub stars
gke-manifest-generation
Creates and updates GKE YAML manifests covering security contexts, resource limits, health probes, secrets, volumes, Gateway API routes, and Spot VMs. Also supports manifests for AI inference workloads such as vLLM, TGI, and Gemma.
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0 up0 downgoogle/skillsCommunity
4.9K installs 20.3K GitHub stars
gke-multitenancy
Designs and configures shared GKE environments for multiple teams. Covers namespace and network isolation, RBAC planning, resource quotas, LimitRanges, and cost allocation.
Community score
0
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5K installs 20.3K GitHub stars
gke-networking
Manages private clusters, VPC-native configurations, Dataplane V2, DNS, and node egress. Supports network layout design and IP address planning for GKE clusters.
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0 up0 downLESS SETUP. MORE POSSIBILITY.Find it. Add it.
Find it. Add it.
Make something.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
Search the actual skill.
A name only tells half the story. Search the full description and instructions to find the right fit.
Get to know it.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Give your agent a new ability.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name