Uses AWS CloudWatch SDK (boto3) to create composite alarms with ML-powered anomaly detection bands. Integrates with AWS SNS for notifications and EventBridge for automated remediation triggers.
Installs into .claude/skills of the current project.
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---
name: "CloudWatch Intelligent Alarms"
slug: "cloudwatch-intelligent-alarms"
description: "Uses AWS CloudWatch SDK (boto3) to create composite alarms with ML-powered anomaly detection bands. Integrates with AWS SNS for notifications and EventBridge for automated remediation triggers."
verification: "security_reviewed"
source: "https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Anomaly_Detection.html"
category: "Monitoring & Alerts"
framework: "ChatGPT Agents"
---
# CloudWatch Intelligent Alarms
Uses AWS CloudWatch SDK (boto3) to create composite alarms with ML-powered anomaly detection bands. Integrates with AWS SNS for notifications and EventBridge for automated remediation triggers.
## Installation
Basic usage or getting-started notes:
- The machine learning model is specific to a metric and a statistic. For example, if you
- extend outside of logical values. For example, the band for MemoryUtilization of an EC2 instance will stay between 0 and 100, and the bands
- This works for any metric that returns a float value, such as CPU usage, request latency,
- Source: https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Anomaly_Detection.html
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/cloudwatch-intelligent-alarms/)
