Multi-Cloud Cost Optimizer

Aggregate and optimize multi-cloud spend across AWS, GCP, and Azure.

6|Updated Oct 25, 2025
One-click install
npx skills add https://github.com/williamzujkowski/cognitive-toolworks --skill multi-cloud-cost-optimizer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Multi-Cloud Cost Optimizer
Source: https://github.com/williamzujkowski/cognitive-toolworks/tree/main/skills/finops-multicloud-optimizer
Command: npx skills add https://github.com/williamzujkowski/cognitive-toolworks --skill multi-cloud-cost-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill aggregates and optimizes spend across AWS, GCP, and Azure to expose waste and ROI opportunities, enabling teams to act on cost improvements.

Core Features & Use Cases

  • Cross-cloud cost normalization and comparison to reveal savings opportunities across providers
  • Workload placement guidance to reduce total cost of ownership
  • Commitment optimization across AWS, GCP, and Azure to improve blended discounts
  • Governance and tagging optimization for better cost attribution

Quick Start

Provide your multi-cloud billing data and request a multi-cloud cost optimization report.

Frequently Asked Questions about Multi-Cloud Cost Optimizer

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

FAQPage Schema
How do I optimize multi-cloud spend across AWS, Azure, and GCP?

Multi-cloud spend optimization requires aggregating billing data from AWS, GCP, and Azure, normalizing currencies, and analyzing usage to identify waste and ROI opportunities. This skill generates a JSON report highlighting cross-cloud cost reduction and workload placement actions.

What is cross-cloud cost normalization and why do I need it?

Cross-cloud cost normalization is the process of standardizing billing formats and currencies from AWS, GCP, and Azure into a unified view. It is needed to accurately compare provider costs, reveal savings opportunities, and calculate migration ROI across 30-180 day horizons.

Can I use this for workload placement and commitment optimization across clouds?

Yes, workload placement and commitment optimization are core features. The skill analyzes cross-cloud deployment data to guide workload placement for lower total cost of ownership and optimizes commitment discounts across AWS, GCP, and Azure to improve blended savings.

How do I get started with a multi-cloud cost optimization report?

To get started, provide your multi-cloud billing data from AWS, GCP, and Azure as input. The skill processes this data to perform currency normalization, identify waste, and output a JSON report detailing cost reduction and governance opportunities.

Does this tool work for enterprises with cross-cloud deployments seeking FinOps ROI?

Yes, this tool is designed for enterprises with cross-cloud deployments practicing FinOps. It aggregates multi-cloud billing data to identify waste, calculate migration ROI, and optimize commitments across 30-180 day horizons.

What limitations exist for multi-cloud cost optimization without cloud billing data?

Without direct access to AWS, GCP, and Azure cloud billing data, the skill cannot perform currency normalization, workload placement analysis, or commitment optimization. Accurate cost attribution and waste identification depend entirely on receiving valid multi-cloud billing inputs.