finops-optimizer

Analyze multi-provider cloud spending and generate optimization recommendations.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/benreceveur/claude-workflow-engine --skill finops-optimizer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: finops-optimizer
Source: https://github.com/benreceveur/claude-workflow-engine/tree/main/skills/finops-optimizer
Command: npx skills add https://github.com/benreceveur/claude-workflow-engine --skill finops-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, aws-cli, azure-cli, gcloud, and includes scripts (resource) and examples (resource) components.

What problem does it solve?

This Skill tackles the pervasive problem of cloud cost overruns and lack of financial visibility across multi-cloud environments. It helps organizations systematically identify and eliminate wasted spending, improve budget predictability, and make data-driven financial decisions.

Core Features & Use Cases

  • Multi-Cloud Cost Analysis: Provides unified spending analysis across AWS, Azure, and GCP, identifying top cost drivers, trends, and anomalies.
  • Optimization Recommendations: Automatically suggests cost-saving opportunities through rightsizing, identifying unused resources, and recommending commitment discounts (Reserved Instances, Savings Plans).
  • Automated Budget Alerts & Anomaly Detection: Configures alerts for budget thresholds and uses ML to detect unusual spending patterns, preventing cost surprises.
  • Use Case: Get a weekly report detailing your total cloud spend, top cost drivers, potential savings from rightsizing, and any unexpected cost spikes across all your cloud providers, enabling proactive cost management.

Quick Start

Analyze our cloud spending across all providers for the last 30 days and include forecasts.

Frequently Asked Questions about finops-optimizer

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

FAQPage Schema
How do I analyze cloud costs across AWS, Azure, and GCP together?

Multi-cloud cost analysis unifies spending data from AWS, Azure, and GCP in one view, identifying top cost drivers and trends across providers. This Skill aggregates spending across all three platforms and time ranges to surface optimization opportunities you'd miss analyzing each provider separately.

Can I get cost optimization recommendations automatically?

Cost optimization recommendations identify specific savings opportunities like rightsizing instances, removing unused resources, and applying commitment discounts such as Reserved Instances or Savings Plans. The Skill analyzes your spending patterns and generates actionable suggestions with estimated savings.

How do I set up alerts for unexpected cloud spending?

Budget alerts and anomaly detection configure thresholds that trigger notifications when spending deviates from expected patterns or exceeds budget limits. The Skill uses ML to flag unusual spending spikes across your multi-cloud environment before costs spiral.

What cloud providers and time ranges does this work with?

This Skill supports AWS, Azure, and GCP with flexible time-range analysis including last_30_days, last_90_days, and current_month. It handles multi-account deployments and generates structured outputs like cost breakdowns, forecasts, and anomalies suitable for dashboards and reports.

Do I need AWS CLI, Azure CLI, and gcloud installed to use this?

Yes, the Skill requires python3, aws-cli, azure-cli, and gcloud as dependencies to authenticate and retrieve cost data from each cloud provider. These must be configured with appropriate credentials before running cost analysis operations.

What outputs can I generate for reporting and dashboards?

Reporting outputs include cost_by_provider breakdowns, spending forecasts, anomaly alerts, and structured recommendations exported in formats suitable for BI tools and dashboards. Operations like generate-report produce comprehensive financial visibility across your multi-cloud infrastructure.