infrastructure-cost-optimization

What it does

This skill enables AI agents to analyze cloud resource usage patterns and generate actionable recommendations for reducing monthly bills. It specifically targets over-provisioned instances, idle storage, and inefficient architectural choices within your infrastructure stack.

When to use it

• Monthly bill spikes: You notice a sudden increase in cloud spending and need an immediate audit of recent changes.
• Right-sizing workloads: Your team has scaled up resources for peak traffic but needs guidance on downsizing for baseline usage.
• Storage cleanup: You suspect you have orphaned volumes or unattached disks accumulating unnecessary costs.
• Architecture review: Before launching a new project, you want to ensure the proposed design follows cost-efficient best practices.

Key capabilities

• Identifies underutilized compute instances (e.g., low CPU/memory usage).
• Detects idle storage volumes and snapshots that are not actively in use.
• Recommends switching from on-demand pricing models to reserved or spot instances where appropriate.
• Suggests architectural changes to reduce resource redundancy.

Example prompts

• "Analyze my AWS bill for the last month and list the top 5 resources consuming the most money."
• "Identify any idle EC2 instances or unattached EBS volumes in my Azure subscription that can be deleted."
• "Propose a cost-optimized architecture for a new microservices deployment using Google Cloud Platform."

Tips & gotchas

Ensure your AI agent has read-only access to billing data and resource tags before running this skill to avoid accidental deletions. Always verify recommendations manually, as some cost-saving measures (like spot instances) may impact application stability if not configured correctly.