Optimize cloud infrastructure costs through FinOps practices, commitment discounts, right-sizing, and automated cost management. Use when reducing cloud spend, implementing budget controls, or establishing cost visibility across AWS, Azure, GCP, and Kubernetes environments.
View on GitHubancoleman/ai-design-components
backend-ai-skills
February 1, 2026
Select agents to install to:
npx add-skill https://github.com/ancoleman/ai-design-components/blob/main/skills/optimizing-costs/SKILL.md -a claude-code --skill optimizing-costsInstallation paths:
.claude/skills/optimizing-costs/# Cost Optimization ## Purpose Cloud cost optimization transforms uncontrolled spending into strategic resource allocation through the FinOps lifecycle: Inform, Optimize, and Operate. This skill provides decision frameworks for commitment-based discounts (Reserved Instances, Savings Plans), right-sizing strategies, Kubernetes cost management, and automated cost governance across multi-cloud environments. ## When to Use This Skill Invoke cost-optimization when: - Reducing cloud spend by 15-40% through systematic optimization - Implementing cost visibility dashboards and allocation tracking - Establishing budget alerts and anomaly detection - Optimizing Kubernetes resource requests and cluster efficiency - Managing Reserved Instances, Savings Plans, or Committed Use Discounts - Automating idle resource cleanup and right-sizing recommendations - Setting up showback/chargeback models for internal teams - Preventing cost overruns through CI/CD cost estimation (Infracost) - Responding to finance team requests for cloud cost reduction ## FinOps Principles ### The FinOps Lifecycle ``` ┌─────────────────────────────────────────────────────┐ │ INFORM → OPTIMIZE → OPERATE (continuous loop) │ │ ↓ ↓ ↓ │ │ Visibility Action Automation │ └─────────────────────────────────────────────────────┘ ``` **Inform Phase:** Establish cost visibility - Enable cost allocation tags (Owner, Project, Environment) - Deploy real-time cost dashboards for engineering teams - Integrate cloud billing data (AWS CUR, Azure Consumption API, GCP BigQuery) - Set up Kubernetes cost monitoring (Kubecost, OpenCost) **Optimize Phase:** Take action on cost drivers - Purchase commitment-based discounts (40-72% savings) - Right-size over-provisioned resources (target 60-80% utilization) - Implement spot/preemptible instances for fault-tolerant workloads - Clean up idle resources (unattached volumes, old snapshots) **Operate Phase