Can this skill help migrate my instances to Graviton?

Yes, it includes a specific workflow for detecting older instance generations and identifying opportunities to migrate to ARM64-based Graviton instances for better price-performance.

How does it help with Reserved Instances (RI) and Savings Plans?

It includes an analysis workflow that looks at 60 days of stable usage to recommend the most cost-effective commitment type, including Standard RIs, Convertible RIs, or Compute Savings Plans.

Does this skill automatically delete my AWS resources?

No, the skill provides analysis scripts and recommendations. You retain full control and must manually execute the provided commands or scripts to delete or modify resources.

What permissions are needed to run the cost analysis scripts?

You will need AWS credentials with read-only access to services like Cost Explorer, EC2, RDS, and S3 to allow the scripts to gather utilization and pricing data.

AWS Cost Optimization & FinOps

Name: AWS Cost Optimization & FinOps
Author: ahmedasmar

byahmedasmar

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Cloud Infrastructure

Automates AWS cost analysis and FinOps workflows to identify savings, optimize cloud resources, and manage financial operations.

About

This skill provides a systematic framework for managing AWS cloud spend through the lens of FinOps best practices. It empowers users to move through a structured lifecycle of discovery, analysis, prioritization, and implementation using a suite of automated Python scripts. By identifying unattached volumes, analyzing Reserved Instance/Savings Plan ROI, detecting spending anomalies, and recommending Graviton migrations or Spot instance usage, it transforms complex billing data into actionable architectural improvements. Whether you are performing a monthly cost review or planning a large-scale migration, this skill provides the decision matrices and tools necessary to maximize every dollar spent on AWS infrastructure.

Key Features

Detailed rightsizing analysis for EC2 and RDS instances based on utilization trends
6 GitHub stars
Migration guides for moving to newer instance generations and Graviton (ARM64) processors
Anomaly detection and forecasting to prevent unexpected billing spikes
Automated identification of unused resources like unattached EBS volumes and idle NAT Gateways
Commitment purchase strategies for Reserved Instances and Savings Plans with ROI calculations

Use Cases

Performing monthly cloud financial reviews and generating executive cost reports
Architecting cost-efficient storage strategies using S3 lifecycle policies and gp3 conversion
Evaluating workloads for Spot instance suitability to achieve up to 70% savings

About

Key Features

Detailed rightsizing analysis for EC2 and RDS instances based on utilization trends
6 GitHub stars
Migration guides for moving to newer instance generations and Graviton (ARM64) processors
Anomaly detection and forecasting to prevent unexpected billing spikes
Automated identification of unused resources like unattached EBS volumes and idle NAT Gateways
Commitment purchase strategies for Reserved Instances and Savings Plans with ROI calculations

Use Cases

Performing monthly cloud financial reviews and generating executive cost reports
Architecting cost-efficient storage strategies using S3 lifecycle policies and gp3 conversion
Evaluating workloads for Spot instance suitability to achieve up to 70% savings