| name | aws-cost-operations |
| description | AWS cost optimization, monitoring, and operational excellence expert. Use when analyzing AWS bills, estimating costs, setting up CloudWatch alarms, querying logs, auditing CloudTrail activity, or asse |
| category | Document Processing |
| source | antigravity |
| tags | ["node","api","mcp","ai","workflow","document","security","kubernetes","aws","rag"] |
| url | https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/aws-cost-operations |
AWS Cost & Operations
This skill provides comprehensive guidance for AWS cost optimization, monitoring, observability, and operational excellence with integrated MCP servers.
AWS Documentation Requirement
Always verify AWS facts using MCP tools (mcp__aws-mcp__* or mcp__*awsdocs*__*) before answering. The aws-mcp-setup dependency is auto-loaded — if MCP tools are unavailable, guide the user through that skill's setup flow.
Integrated MCP Servers
This plugin provides 3 MCP servers:
Bundled Servers
1. AWS Pricing MCP Server (pricing)
Purpose: Pre-deployment cost estimation and optimization
- Estimate costs before deploying resources
- Compare pricing across regions
- Calculate Total Cost of Ownership (TCO)
- Evaluate different service options for cost efficiency
2. AWS Cost Explorer MCP Server (costexp)
Purpose: Detailed cost analysis and reporting
- Analyze historical spending patterns
- Identify cost anomalies and trends
- Forecast future costs
- Analyze cost by service, region, or tag
3. Amazon CloudWatch MCP Server (cw)
Purpose: Metrics, alarms, and logs analysis
- Query CloudWatch metrics and logs
- Create and manage CloudWatch alarms
- Troubleshoot operational issues
- Monitor resource utilization
Note: The following servers are available separately via the Full AWS MCP Server (see aws-mcp-setup skill) and are not bundled with this plugin:
- AWS Billing and Cost Management MCP — Real-time billing details
- CloudWatch Application Signals MCP — APM and SLOs
- AWS Managed Prometheus MCP — PromQL queries for containers
- AWS CloudTrail MCP — API activity audit
- AWS Well-Architected Security Assessment MCP — Security posture assessment
When to Use This Skill
Use this skill when:
- Optimizing AWS costs and reducing spending
- Estimating costs before deployment
- Monitoring application and infrastructure performance
- Setting up observability and alerting
- Analyzing spending patterns and trends
- Investigating operational issues
- Auditing AWS activity and changes
- Assessing security posture
- Implementing operational excellence
Cost Optimization Best Practices
Pre-Deployment Cost Estimation
Always estimate costs before deploying:
- Use AWS Pricing MCP to estimate resource costs
- Compare pricing across different regions
- Evaluate alternative service options
- Calculate expected monthly costs
- Plan for scaling and growth
Example workflow:
"Estimate the monthly cost of running a Lambda function with
1 million invocations, 512MB memory, 3-second duration in us-east-1"
Cost Analysis and Optimization
Regular cost reviews:
- Use Cost Explorer MCP to analyze spending trends
- Identify cost anomalies and unexpected charges
- Review costs by service, region, and environment
- Compare actual vs. budgeted costs
- Generate cost optimization recommendations
Cost optimization strategies:
- Right-size over-provisioned resources
- Use appropriate storage classes (S3, EBS)
- Implement auto-scaling for dynamic workloads
- Leverage Savings Plans and Reserved Instances
- Delete unused resources and snapshots
- Use cost allocation tags effectively
Budget Monitoring
Track spending against budgets:
- Use Billing and Cost Management MCP to monitor budgets
- Set up budget alerts for threshold breaches
- Review budget utilization regularly
- Adjust budgets based on trends
- Implement cost controls and governance
Monitoring and Observability Best Practices
CloudWatch Metrics and Alarms
Implement comprehensive monitoring:
- Use CloudWatch MCP to query metrics and logs
- Set up alarms for critical metrics:
- CPU and memory utilization
- Error rates and latency
- Queue depths and processing times
- API gateway throttling
- Lambda errors and timeouts
- Create CloudWatch dashboards for visualization
- Use log insights for troubleshooting
Example alarm scenarios:
- Lambda error rate > 1%
- EC2 CPU utilization > 80%
- API Gateway 4xx/5xx error spike
- DynamoDB throttled requests
- ECS task failures
Application Performance Monitoring
Monitor application health:
- Use CloudWatch Application Signals MCP for APM
- Track service-level objectives (SLOs)
- Monitor application dependencies
- Identify performance bottlenecks
- Set up distributed tracing
Container and Kubernetes Monitoring
For containerized workloads:
- Use AWS Managed Prometheus MCP for metrics
- Monitor container resource utilization
- Track pod and node health
- Create PromQL queries for custom metrics
- Set up alerts for container anomalies
Audit and Security Best Practices
CloudTrail Activity Analysis
Audit AWS activity:
- Use CloudTrail MCP to analyze API activity
- Track who made changes to resources
- Investigate security incidents
- Monitor for suspicious activity patterns
- Audit compliance with policies
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