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cost-optimization

Analyze cloud infrastructure spending and rightsize compute resources across AWS, Azure, GCP, and OCI.

1|Updated Jun 29, 2026
Search Tags:#aws#cost optimization#terraform#finops#cloud cost#rightsizing#savings plans
One-click install
npx skills add https://github.com/coreyone/software-maestro --skill cost-optimization-coreyone
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cost-optimization
Source: https://github.com/coreyone/software-maestro/tree/main/quality/cost-optimization
Command: npx skills add https://github.com/coreyone/software-maestro --skill cost-optimization-coreyone

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Cloud bills grow silently through idle resources, over-provisioned instances, and missed commitment discounts. This Skill provides a systematic framework to audit multi-cloud spending, eliminate waste, and apply the right pricing models without sacrificing performance or reliability. ## Core Features & Use Cases - Multi-Cloud Cost Frameworks: Provider-specific guidance for AWS (Reserved Instances, Savings Plans, Spot), Azure (Hybrid Benefit, Advisor), GCP (Committed/Sustained Use Discounts, Preemptible VMs), and OCI (Flexible Shapes, Budgets). - Infrastructure-as-Code Patterns: Ready-to-use Terraform snippets for S3 lifecycle policies, budget alerts, auto-scaling policies, and standardized cost allocation tagging. - Architecture Optimization Patterns: Serverless-first design, right-sized database tiers, multi-tier storage strategies, and a 15-point cost optimization checklist. - Use Case: An engineer auditing an overprovisioned Kubernetes cluster on AWS can identify unattached EBS volumes and idle NAT gateways, rightsize underutilized nodes, and model Compute Savings Plans coverage to cut monthly spend. ## Quick Start Ask the agent to audit your AWS cloud bill for idle resources, rightsizing opportunities, and Savings Plans coverage.

Frequently Asked Questions about cost-optimization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce my AWS cloud bill?▼

Start by deleting idle resources like unattached EBS volumes and unused NAT gateways, then rightsize instances based on CPU utilization. Purchase Compute Savings Plans or Reserved Instances for steady workloads to save 30-72% versus On-Demand pricing.

How to rightsize overprovisioned EC2 instances?▼

Analyze CPU and memory utilization metrics over several weeks, then downgrade instances consistently below 20-30% utilization to smaller types. Use AWS Compute Optimizer recommendations and implement auto-scaling to handle variable load instead of static overprovisioning.

AWS Savings Plans vs Reserved Instances, which should I use?▼

Compute Savings Plans offer up to 66% savings with flexibility across instance families, regions, and services including Fargate and Lambda. EC2 Reserved Instances reach 72% savings but lock you to specific instance types, suiting stable predictable workloads.

Does this cost optimization approach work for GCP and Azure?▼

Yes, the framework covers GCP Committed Use Discounts, Sustained Use Discounts, and Preemptible VMs, plus Azure Reserved VM Instances and Hybrid Benefit. OCI Flexible Shapes and compartment budgets are also included for multi-cloud environments.

When should I use spot or preemptible instances?▼

Use spot or preemptible instances for interruption-tolerant workloads like batch jobs, CI/CD pipelines, and stateless services, saving up to 80-90%. Mix them with On-Demand capacity for critical services since spot instances can be reclaimed with short notice.

What are the limitations of cloud cost optimization audits?▼

Recommendations depend on accurate utilization data and proper cost allocation tagging, so untagged resources may be missed. Rightsizing also requires observing workloads over time to avoid cutting capacity needed for traffic peaks.

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