This handles AWS CloudWatch operations for monitoring your infrastructure and applications. You'll reach for it when setting up metric alarms, querying logs with Insights, publishing custom metrics, or building dashboards. The skill covers the practical stuff: creating CPU and error rate alarms, writing CloudWatch Insights queries to find errors in Lambda logs, setting up metric filters to extract data from log patterns, and publishing custom application metrics with proper dimensions. One thing to note is that CloudWatch's pricing model means you need to be intentional about metric cardinality and log retention, so the best practices section on avoiding metric explosion and setting retention policies is worth reading before you start instrumenting everything.

skills.sh installs
245
GitHub stars
1.2K
last updated
Aug 21, 2026

Install

$ npx -y skills add itsmostafa/aws-agent-skills --skill cloudwatch --agent claude-code

Installs into .claude/skills of the current project.

Files

AWS CloudWatch

Amazon CloudWatch provides monitoring and observability for AWS resources and applications. It collects metrics, logs, and events, enabling you to monitor, troubleshoot, and optimize your AWS environment.

Table of Contents

Core Concepts

Metrics

Time-ordered data points published to CloudWatch. Key components:

  • Namespace: Container for metrics (e.g., AWS/Lambda)
  • Metric name: Name of the measurement (e.g., Invocations)
  • Dimensions: Name-value pairs for filtering (e.g., FunctionName=MyFunc)
  • Statistics: Aggregations (Sum, Average, Min, Max, SampleCount, pN)

Logs

Log data from AWS services and applications:

  • Log groups: Collections of log streams
  • Log streams: Sequences of log events from same source
  • Log events: Individual log entries with timestamp and message

Alarms

Sponsors

Details

Repository
github.com/itsmostafa/aws-agent-skills
Categories
DevOps & CI/CD, AI & Agent Building, Debugging, Cloud & Infrastructure
License
MIT
First seen
Jun 3, 2026

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