What problem does it solve? A shared Kubernetes cluster is one cloud bill hiding many tenants, and most clusters run at only 20-30% utilization because pod requests are set far above real usage. This Skill provides the doctrine and tooling to attribute cluster costs fairly per workload, close the request-vs-usage gap, eliminate idle waste, and enforce cost governance on any cluster (EKS, AKS, GKE, or on-prem). ## Core Features & Use Cases - Cost Allocation & Visibility: Split node cost into allocated, idle, and shared buckets using the FinOps Foundation container-cost model (allocate on max(request, usage)) with OpenCost or Kubecost, labels, and namespaces for showback and chargeback. - Right-Sizing & Autoscaling Efficiency: Size requests to p95/p99 usage with VPA recommendation mode, Goldilocks, or KRR; manage QoS classes; use HPA/KEDA scale-to-zero, bin-packing, and Spot node pools. - Waste Elimination & Governance: Find unbound PVCs, orphaned PVs, zombie workloads, and completed Jobs with three read-only kubectl triage scripts, then enforce ResourceQuota, LimitRange, and admission policies requiring requests and cost labels. - Use Case: Your cluster bill keeps growing but utilization is 22%. Run the read-only triage scripts to find over-provisioned requests and idle resources, stand up OpenCost for per-namespace allocation, right-size requests via VPA recommendations, and roll changes out as gated GitOps PRs. ## Quick Start Ask the AI to analyze my Kubernetes cluster for cost waste by running the read-only triage scripts and recommending right-sized pod requests based on actual usage.