az-cost-optimize

Azure cost optimization discovers inefficient configurations and oversized resources by analyzing usage metrics and pricing. The skill reviews your infrastructure to generate evidence-based recommendations with estimated savings for compute, database, and storage improvements.

Cloud spending analysis covers resource discovery, usage validation, and pricing checks to find right-sizing opportunities. It inspects compute, database, storage, and infrastructure configurations to pinpoint unnecessary costs while maintaining operational reliability.

Yes, you can automate GitHub issue creation for Azure infrastructure analysis recommendations. The skill generates tracked optimization issues and an EPIC issue to coordinate implementation of approved cost-saving initiatives directly within your repository.

Yes, Azure and GitHub MCP tools are required to generate prioritized cost reduction tasks. The skill depends on these tools to access infrastructure configurations, validate cost evidence, and create tracked implementation issues for approved savings.

The best way to track approved cloud cost optimization initiatives is creating an EPIC issue with linked sub-tasks. This coordinates implementation by consolidating validated resource right-sizing recommendations into actionable GitHub issues.