# Aws Cost Optimize

> Analyze AWS resources used in the app (IaC files and/or resources in a target account/region) and optimize costs - creating GitHub issues for identified optimizations.

- **Type:** Skill
- **Install:** `agentstack add skill-github-awesome-copilot-aws-cost-optimize`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [github](https://agentstack.voostack.com/s/github)
- **Installs:** 0
- **Category:** [Cloud & Infrastructure](https://agentstack.voostack.com/c/cloud-infrastructure)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [github](https://github.com/github)
- **Source:** https://github.com/github/awesome-copilot/tree/main/skills/aws-cost-optimize
- **Website:** https://awesome-copilot.github.com/

## Install

```sh
agentstack add skill-github-awesome-copilot-aws-cost-optimize
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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**:
1. **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

### Step 2: Discover AWS Infrastructure
**Action**: Dynamically discover and analyze AWS resources and configurations
**Tools**: AWS CLI + Local file system access
**Process**:
1. **Account & Region Discovery**:
   - Execute `aws sts get-caller-identity` to confirm account
   - Execute `aws configure get region` to determine default region

2. **Resource Discovery** (per region):
   - EC2 instances: `aws ec2 describe-instances --query 'Reservations[].Instances[].[InstanceId,InstanceType,State.Name,Tags]'`
   - RDS instances: `aws rds describe-db-instances --query 'DBInstances[].[DBInstanceIdentifier,DBInstanceClass,Engine,MultiAZ]'`
   - Lambda functions: `aws lambda list-functions --query 'Functions[].[FunctionName,Runtime,MemorySize,Architectures]'`
   - ECS clusters/services: `aws ecs list-clusters` then `aws ecs describe-services`
   - S3 buckets: `aws s3api list-buckets --query 'Buckets[].Name'`
   - ElastiCache clusters: `aws elasticache describe-cache-clusters`
   - NAT Gateways: `aws ec2 describe-nat-gateways`
   - Load Balancers: `aws elbv2 describe-load-balancers`

3. **IaC Detection**:
   - Scan for IaC files: `**/*.tf`, `**/*.yaml` (CloudFormation/SAM), `**/*.json` (CloudFormation), `**/cdk.json`, `lib/**/*.ts` (CDK)
   - Parse resource definitions to understand intended configurations
   - Do NOT use application code files — only IaC files as the source of truth
   - If no IaC files found: STOP and report to user

### Step 3: Collect Usage Metrics & Validate Current Costs
**Action**: Gather utilization data and verify actual resource costs
**Tools**: AWS CLI (CloudWatch, Cost Explorer)
**Process**:
1. **CloudWatch Metrics** (last 7 days):
   ```bash
   # EC2 CPU utilization
   aws cloudwatch get-metric-statistics \
     --namespace AWS/EC2 --metric-name CPUUtilization \
     --dimensions Name=InstanceId,Value= \
     --start-time $(date -u -d '7 days ago' +%Y-%m-%dT%H:%M:%SZ) \
     --end-time $(date -u +%Y-%m-%dT%H:%M:%SZ) \
     --period 3600 --statistics Average

   # Lambda duration
   aws cloudwatch get-metric-statistics \
     --namespace AWS/Lambda --metric-name Duration \
     --dimensions Name=FunctionName,Value= \
     --start-time $(date -u -d '7 days ago' +%Y-%m-%dT%H:%M:%SZ) \
     --end-time $(date -u +%Y-%m-%dT%H:%M:%SZ) \
     --period 86400 --statistics Average,Maximum
   ```

2. **AWS Cost Explorer**:
   ```bash
   aws ce get-cost-and-usage \
     --time-period Start=$(date -u -d '30 days ago' +%Y-%m-%d),End=$(date -u +%Y-%m-%d) \
     --granularity MONTHLY --metrics BlendedCost \
     --group-by Type=DIMENSION,Key=SERVICE
   ```

3. **Calculate Baseline Metrics**: CPU/Memory averages, Lambda invocation rates, data transfer patterns, and a realistic current monthly total.

### Step 4: Generate Cost Optimization Recommendations
**Action**: Analyze resources to identify optimization opportunities
**Process**:
1. **Apply Optimization Patterns**:

   **Compute**:
   - EC2: Right-size based on CPU/memory ( 20 | Medium: Score 5-20 | Low: Score 80% of estimated savings realized, no performance degradation).

## Error Handling
- **AWS Authentication Failure**: Guide through `aws configure`
- **No Resources Found**: Create informational issue about AWS resource deployment
- **Insufficient Permissions**: List required IAM read-only permissions
- **GitHub Creation Failure**: Output formatted recommendations to console
- **Cost Explorer Not Enabled**: Guide user to enable in AWS Console

## Success Criteria
- ✅ All cost estimates verified against actual configurations and AWS pricing
- ✅ Individual GitHub issues created for each optimization
- ✅ EPIC issue provides comprehensive coordination and tracking
- ✅ All recommendations include specific AWS CLI or IaC commands
- ✅ User confirmation obtained before creating issues

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [github](https://github.com/github)
- **Source:** [github/awesome-copilot](https://github.com/github/awesome-copilot)
- **License:** MIT
- **Homepage:** https://awesome-copilot.github.com/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-github-awesome-copilot-aws-cost-optimize
- Seller: https://agentstack.voostack.com/s/github
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.