Aws Cost Optimize

Point this at your repo and an AWS account, and it will read your Terraform, CDK, or CloudFormation files, pull 7 days of CloudWatch metrics, and check Cost Explorer for the real monthly spend. It then scores each opportunity (right-sizing EC2, Lambda on arm64, gp2 to gp3, S3 lifecycle rules, NAT Gateway consolidation, and so on) and asks you to confirm before opening one GitHub issue per item plus an EPIC to track them. The confirmation gate is the part I'd appreciate most, since you don't want an agent spamming your tracker. The catch is that the savings numbers are only as good as the utilization data behind them, so a service that spikes once a month can look over-provisioned. Read the evidence section of each issue before acting on it.

GitHub stars: 37.4K
last updated: Aug 1, 2026

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Install

$ npx -y skills add github/awesome-copilot --skill aws-cost-optimize --agent claude-code

Installs into .claude/skills of the current project.

Files

AWS Cost Optimize

This workflow analyzes Infrastructure-as-Code (IaC) files and AWS 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

AWS CLI configured and authenticated (aws sts get-caller-identity succeeds)
GitHub MCP server configured and authenticated
Target GitHub repository identified
AWS resources deployed (IaC files optional but helpful)

Workflow Steps

Step 1: Get AWS Cost Optimization Best Practices

Action: Retrieve cost optimization best practices before analysis Tools: fetch to retrieve AWS documentation Process:

Load Best Practices:
- Fetch https://docs.aws.amazon.com/cost-management/latest/userguide/cost-optimization-best-practices.html
- Fetch the AWS Well-Architected Cost Optimization pillar summary
- Use these practices to inform subsequent analysis and recommendations

SKILL.md on GitHub