aws-agentic-ai
AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway,…
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 assessing security posture. Essential when user mentions AWS costs, spending,
$ npx -y skills add zxkane/aws-skills --skill aws-cost-operations --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/aws-cost-operationsContext preview
The summary Claude sees to decide when to auto-load this skill.
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 assessing security posture. Essential when user mentions AWS costs, spending,
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 assessing security posture. Essential when user mentions AWS costs, spending, billing, budget, pricing, CloudWatch, observability, monitoring, alerting, CloudTrail, audit, or wants to optimize AWS infrastructure costs and operational efficiency.
context: fork
skills:
- aws-mcp-setup
allowed-tools:
- mcp__pricing__*
- mcp__costexp__*
- mcp__cw__*
- mcp__aws-mcp__*
- mcp__awsdocs__*
- Bash(aws ce *)
- Bash(aws cloudwatch *)
- Bash(aws logs *)
- Bash(aws budgets *)
- Bash(aws cloudtrail *)
- Bash(aws sts get-caller-identity)
hooks:
PreToolUse:
- matcher: Bash(aws ce *)
command: aws sts get-caller-identity --query Account --output text
once: trueThis skill provides comprehensive guidance for AWS cost optimization, monitoring, observability, and operational excellence with integrated MCP servers.
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.
This plugin provides 3 MCP servers:
**Purpose**: Pre-deployment cost estimation and optimization
**Purpose**: Detailed cost analysis and reporting
**Purpose**: Metrics, alarms, and logs analysis
> **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
Use this skill when:
**Always estimate costs before deploying**: 1. Use **AWS Pricing MCP** to estimate resource costs 2. Compare pricing across different regions 3. Evaluate alternative service options 4. Calculate expected monthly costs 5. 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"
**Regular cost reviews**: 1. Use **Cost Explorer MCP** to analyze spending trends 2. Identify cost anomalies and unexpected charges 3. Review costs by service, region, and environment 4. Compare actual vs. budgeted costs 5. Generate cost optimization recommendations
**Cost optimization strategies**:
**Track spending against budgets**: 1. Use **Billing and Cost Management MCP** to monitor budgets 2. Set up budget alerts for threshold breaches 3. Review budget utilization regularly 4. Adjust budgets based on trends 5. Implement cost controls and governance
**Implement comprehensive monitoring**: 1. Use **CloudWatch MCP** to query metrics and logs 2. Set up alarms for critical metrics:
3. Create CloudWatch dashboards for visualization 4. Use log insights for troubleshooting
**Example alarm scenarios**:
**Monitor application health**: 1. Use **CloudWatch Application Signals MCP** for APM 2. Track service-level objectives (SLOs) 3. Monitor application dependencies 4. Identify performance bottlenecks 5. Set up distributed tracing
**For containerized workloads**: 1. Use **AWS Managed Prometheus MCP** for metrics 2. Monitor container resource utilization 3. Track pod and node health 4. Create PromQL queries for custom metrics 5. Set up alerts for container anomalies
**Audit AWS activity**: 1. Use **CloudTrail MCP** to analyze API activity 2. Track who made changes to resources 3. Investigate security incidents 4. Monitor for suspicious activity patterns 5. Audit compliance with policies
**Common audit scenarios**:
Claude Code plugins for AWS development with specialized knowledge and MCP server integrations, including CDK, serverless architecture, cost optimization, and Bedrock AgentCore for AI agent deployment.
Repo: zxkane/aws-skills
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