orca-cloud-cost-optimizer

Analyze Orca MCP asset data and live pricing to identify cloud cost optimization opportunities.

47|7|Updated May 3, 2026
One-click install
npx skills add https://github.com/orcasecurity/orca-skills --skill orca-cloud-cost-optimizer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orca-cloud-cost-optimizer
Source: https://github.com/orcasecurity/orca-skills/tree/main/skills/orca-cloud-cost-optimizer
Command: npx skills add https://github.com/orcasecurity/orca-skills --skill orca-cloud-cost-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cloud cost optimization analysis across AWS, GCP, and Azure using Orca MCP asset data to identify where spending can be reduced and how to enact those changes with concrete, asset-level evidence.

Core Features & Use Cases

  • Asset discovery and inventory across cloud providers, powered by Orca MCP data.
  • Live pricing research and comparison to determine exact savings for recommended changes (on-demand vs reserved, size reductions, tiering, etc.).
  • Executive and asset-level reporting that translates findings into concrete actions with direct links to assets and consoles.
  • Use cases include reducing monthly cloud spend, rightsizing instances, flagging unused resources, and optimizing storage and networking configurations.

Quick Start

Run this skill to generate a cost-optimization plan for your cloud environment using MCP data and live pricing.

Frequently Asked Questions about orca-cloud-cost-optimizer

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

FAQPage Schema
How do I identify cloud cost optimization opportunities across AWS, GCP, and Azure?

The skill generates an asset-level action plan that prioritizes cost optimization recommendations by including exact asset details, live pricing references, and zero-downtime implementation steps for immediate execution.

Can I use Orca MCP data to find unused cloud resources and rightsize instances?

It compares live cloud pricing against your inventory to determine exact savings for recommended changes like on-demand to reserved conversions and instance size reductions.

What is the best way to reduce monthly cloud spend without experiencing downtime?

This approach uses live pricing research and comparison to validate exact savings before enacting changes like storage tiering or instance rightsizing.

Does this cloud cost optimization approach work for multi-cloud environments?

It leverages Orca MCP asset data to standardize the discovery and reporting process regardless of the underlying cloud provider.