Az Cost Optimize
This workflow scans your Azure infrastructure through IaC files and live resources, then creates individual GitHub issues for each cost optimization opportunity it finds. It pulls real usage metrics from Log Analytics, validates current pricing against Azure's rates, and generates evidence-based recommendations like right-sizing App Service plans or switching Cosmos DB from provisioned to serverless. The output is actionable: each issue includes specific Azure CLI commands, risk assessments, and calculated monthly savings. It's thorough but requires proper Azure and GitHub MCP setup, and it won't run without finding IaC files first, which might limit its usefulness for purely portal-managed environments.
- skills.sh installs
- 8.7K
- GitHub stars
- 41K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add github/awesome-copilot --skill az-cost-optimize --agent claude-codeInstalls into .claude/skills of the current project.
Files
Azure Cost Optimize
This workflow analyzes Infrastructure-as-Code (IaC) files and Azure resources to generate cost optimization recommendations. It creates individual GitHub issues for each optimization opportunity plus one EPIC issue to coordinate implementation, enabling efficient tracking and execution of cost savings initiatives.
Prerequisites
- Azure MCP server configured and authenticated
- GitHub MCP server configured and authenticated
- Target GitHub repository identified
- Azure resources deployed (IaC files optional but helpful)
- Prefer Azure MCP tools (
azmcp-*) over direct Azure CLI when available
Workflow Steps
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- Repository
- github.com/github/awesome-copilot
- Categories
- Git & Pull Requests, AI & Agent Building, Cloud & Infrastructure
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