AWS Cost Optimizer

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/aws-cost-optimizer

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

AWS Cost Optimizer Analyze AWS spending patterns, identify waste, and provide actionable cost reduction strategies.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Core Capabilities, Cost Optimization Checklist, Integration with Kiro CLI, Safety Notes, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• Use this skill when you need to analyze AWS spending, identify cost optimization opportunities, or reduce cloud waste.
• Use when the request clearly matches the imported source intent: Comprehensive AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

metadata.json

ORIGIN.md

SKILL.md

SKILL.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Baseline Assessment
2. Pull 3-6 months of cost data
3. Identify top 5 spending services
4. Calculate growth rate
5. Quick Wins
6. Delete unattached EBS volumes
7. Release unused Elastic IPs

Imported Workflow Notes

Imported: Optimization Workflow

1. Baseline Assessment

   • Pull 3-6 months of cost data
   • Identify top 5 spending services
   • Calculate growth rate

2. Quick Wins

   • Delete unattached EBS volumes
   • Release unused Elastic IPs
   • Stop/terminate idle EC2 instances
   • Delete old snapshots

3. Strategic Optimization

   • Analyze Reserved Instance coverage
   • Review instance types vs. workload
   • Implement S3 lifecycle policies
   • Consider Spot instances for non-critical workloads

4. Ongoing Monitoring

   • Set up AWS Budgets with alerts
   • Enable Cost Anomaly Detection
   • Tag resources for cost allocation
   • Monthly cost review meetings

Imported: Core Capabilities

Cost Analysis

• Parse AWS Cost Explorer data for trends and anomalies
• Break down costs by service, region, and resource tags
• Identify month-over-month spending increases

Resource Optimization

• Detect idle EC2 instances (low CPU utilization)
• Find unattached EBS volumes and old snapshots
• Identify unused Elastic IPs
• Locate underutilized RDS instances
• Find old S3 objects eligible for lifecycle policies

Savings Recommendations

• Suggest Reserved Instance/Savings Plans opportunities
• Recommend instance rightsizing based on CloudWatch metrics
• Identify resources in expensive regions
• Calculate potential savings with specific actions

Examples

Example 1: Ask for the upstream workflow directly

Use @aws-cost-optimizer to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @aws-cost-optimizer against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @aws-cost-optimizer for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @aws-cost-optimizer using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Imported Usage Notes

Imported: AWS CLI Commands

Get Cost and Usage

# Last 30 days cost by service
aws ce get-cost-and-usage \
  --time-period Start=$(date -d '30 days ago' +%Y-%m-%d),End=$(date +%Y-%m-%d) \
  --granularity MONTHLY \
  --metrics BlendedCost \
  --group-by Type=DIMENSION,Key=SERVICE

# Daily costs for current month
aws ce get-cost-and-usage \
  --time-period Start=$(date +%Y-%m-01),End=$(date +%Y-%m-%d) \
  --granularity DAILY \
  --metrics UnblendedCost

Find Unused Resources

# Unattached EBS volumes
aws ec2 describe-volumes \
  --filters Name=status,Values=available \
  --query 'Volumes[*].[VolumeId,Size,VolumeType,CreateTime]' \
  --output table

# Unused Elastic IPs
aws ec2 describe-addresses \
  --query 'Addresses[?AssociationId==null].[PublicIp,AllocationId]' \
  --output table

# Idle EC2 instances (requires CloudWatch)
aws cloudwatch get-metric-statistics \
  --namespace AWS/EC2 \
  --metric-name CPUUtilization \
  --dimensions Name=InstanceId,Value=i-xxxxx \
  --start-time $(date -u -d '7 days ago' +%Y-%m-%dT%H:%M:%S) \
  --end-time $(date -u +%Y-%m-%dT%H:%M:%S) \
  --period 86400 \
  --statistics Average

# Old EBS snapshots (>90 days)
aws ec2 describe-snapshots \
  --owner-ids self \
  --query 'Snapshots[?StartTime<=`'$(date -d '90 days ago' --iso-8601)'`].[SnapshotId,StartTime,VolumeSize]' \
  --output table

Rightsizing Analysis

# List EC2 instances with their types
aws ec2 describe-instances \
  --query 'Reservations[*].Instances[*].[InstanceId,InstanceType,State.Name,Tags[?Key==`Name`].Value|[0]]' \
  --output table

# Get RDS instance utilization
aws cloudwatch get-metric-statistics \
  --namespace AWS/RDS \
  --metric-name CPUUtilization \
  --dimensions Name=DBInstanceIdentifier,Value=mydb \
  --start-time $(date -u -d '30 days ago' +%Y-%m-%dT%H:%M:%S) \
  --end-time $(date -u +%Y-%m-%dT%H:%M:%S) \
  --period 86400 \
  --statistics Average,Maximum

Imported: Example Prompts

Analysis

• "Show me AWS costs for the last 3 months broken down by service"
• "What are my top 10 most expensive resources?"
• "Compare this month's spending to last month"

Optimization

• "Find all unattached EBS volumes and calculate savings"
• "Identify EC2 instances with <5% CPU utilization"
• "Suggest Reserved Instance purchases based on usage"
• "Calculate savings from deleting snapshots older than 90 days"

Implementation

• "Create a script to delete unattached volumes"
• "Set up a budget alert for $1000/month"
• "Generate a cost optimization report for leadership"

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Always test in non-production first
• Verify resources are truly unused before deletion
• Document all cost optimization actions
• Calculate ROI for optimization efforts
• Automate recurring optimization tasks
• Use AWS Trusted Advisor recommendations
• Enable AWS Cost Anomaly Detection

Imported Operating Notes

Imported: Best Practices

• Always test in non-production first
• Verify resources are truly unused before deletion
• Document all cost optimization actions
• Calculate ROI for optimization efforts
• Automate recurring optimization tasks
• Use AWS Trusted Advisor recommendations
• Enable AWS Cost Anomaly Detection

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills-claude/skills/aws-cost-optimizer

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @ai-dev-jobs-mcp

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @arm-cortex-expert

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @asana-automation

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @ask-questions-if-underspecified

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/n/a

agents

agents/n/a

assets

assets/n/a

Imported Reference Notes

Imported: Additional Resources

• AWS Cost Optimization Best Practices
• AWS Well-Architected Framework - Cost Optimization
• AWS Cost Explorer API

Imported: Cost Optimization Checklist

• Enable AWS Cost Explorer
• Set up cost allocation tags
• Create AWS Budget with alerts
• Review and delete unused resources
• Analyze Reserved Instance opportunities
• Implement S3 Intelligent-Tiering
• Review data transfer costs
• Optimize Lambda memory allocation
• Use CloudWatch Logs retention policies
• Consider multi-region cost differences

Imported: Integration with Kiro CLI

This skill works seamlessly with Kiro CLI's AWS integration:

# Use Kiro to analyze costs
kiro-cli chat "Use aws-cost-optimizer to analyze my spending"

# Generate optimization report
kiro-cli chat "Create a cost optimization plan using aws-cost-optimizer"

Imported: Safety Notes

• Risk Level: Low - Read-only analysis is safe
• Deletion Actions: Medium Risk - Always verify before deleting resources
• Production Changes: High Risk - Test rightsizing in dev/staging first
• Maintain backups before any deletion
• Use

  --dry-run

  flag when available

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.