cost-optimization

Reduce cloud spending across AWS, Azure, and GCP with rightsizing, tagging, and governance.

4|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill cost-optimization-ai-foundry-core
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cost-optimization
Source: https://github.com/AI-Foundry-Core/ril-agents/tree/main/plugins/cloud-infrastructure/skills/cost-optimization
Command: npx skills add https://github.com/AI-Foundry-Core/ril-agents --skill cost-optimization-ai-foundry-core

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cloud operations teams waste budget due to untracked usage, misconfigurations, and over-provisioned resources. This Skill provides systematic cost optimization guidance to reduce cloud spend while preserving performance and reliability.

Core Features & Use Cases

  • Visibility and governance: tagging, dashboards, budget alerts
  • Rightsizing and auto-scaling recommendations across AWS/Azure/GCP
  • Provider-specific savings strategies: RI/Savings Plans, Azure Reserved VM Instances, GCP Committed Use Discounts
  • Use Case: After a quarterly review, identify idle resources and reconfigure to cut costs.

Quick Start

Run a cloud cost audit across your AWS/Azure/GCP accounts and apply recommended rightsizing, tagging, and savings strategies.

Frequently Asked Questions about cost-optimization

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

FAQPage Schema
How do I reduce cloud spending across AWS, Azure, and GCP?

Reduce cloud spending by applying systematic cost optimization strategies across AWS, Azure, and GCP. This includes rightsizing resources, enforcing tagging standards, and utilizing provider-specific savings patterns like Reserved Instances and Committed Use Discounts to lower overall infrastructure costs.

What is the best way to enforce tagging standards for multi-cloud cost governance?

Enforce tagging standards for multi-cloud cost governance by applying systematic tagging rules across your AWS, Azure, and GCP environments. This improves resource visibility, ensures accurate budget tracking, and enables automated budget alerts to prevent untracked usage and wasted spend.

Can I apply reserved instances and committed use discounts to staging and development workloads?

Yes, you can apply reserved instances and committed use discounts to staging and development workloads. The optimization process evaluates production, staging, and development environments across AWS, Azure, and GCP to recommend appropriate provider-specific savings plans.

How do I identify idle resources and reconfigure them after a quarterly cloud budget review?

Identify idle resources and reconfigure them by running a systematic cloud cost audit across your AWS, Azure, and GCP accounts. The audit applies rightsizing, tagging, and savings strategies to automatically detect misconfigurations and over-provisioned resources for cost reduction.

Why does multi-cloud cost optimization require architecture and lifecycle recommendations?

Multi-cloud cost optimization requires architecture and lifecycle recommendations because static rightsizing alone cannot eliminate waste from untracked usage and misconfigurations. Evaluating architecture ensures performance and reliability are preserved while systematically reducing cloud spend across all workload environments.