Does it provide guidance on CloudWatch cost optimization?

Yes, it includes best practices for setting log retention policies and managing metric resolution to help prevent unexpected AWS billing charges.

Can I use this to set up custom metrics?

Yes, the skill includes detailed patterns for publishing custom metrics and creating metric filters to extract valuable data points from raw log streams.

What AWS services can I monitor using this skill?

It covers monitoring for most AWS services that integrate with CloudWatch, including Lambda, EC2, RDS, and custom applications.

How does this skill help with AWS troubleshooting?

It provides Claude with specific CLI and Boto3 patterns to query CloudWatch Logs Insights and retrieve metric statistics, allowing for rapid identification of errors and performance bottlenecks.

AWS CloudWatch Monitoring

Name: AWS CloudWatch Monitoring
Author: itsmostafa

byitsmostafa

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963

Analytics & Monitoring

Monitors AWS resources and applications using CloudWatch metrics, logs, alarms, and dashboards.

About

This skill empowers Claude with specialized knowledge to manage Amazon CloudWatch, the primary observability and monitoring service for AWS. It provides domain-specific implementation patterns for querying logs with Insights, configuring metric-based alarms, publishing custom data points, and building visualization dashboards. Whether you are troubleshooting production errors, setting up infrastructure alerts, or optimizing log retention policies, this skill ensures best practices are followed for high-performance AWS monitoring and cost management.

Key Features

Configure metric and composite alarms for automated alerting via SNS
963 GitHub stars
Create and manage CloudWatch Dashboards for real-time resource observability
Publish custom application metrics with Boto3 and AWS CLI
Extract metrics from log patterns using Metric Filters
Query and analyze log data using advanced CloudWatch Logs Insights syntax

Use Cases

Debugging application issues by searching log streams for specific error patterns
Automating Lambda error rate alerts and notification workflows
Building centralized monitoring dashboards for multi-service AWS environments

About

Key Features

Configure metric and composite alarms for automated alerting via SNS
963 GitHub stars
Create and manage CloudWatch Dashboards for real-time resource observability
Publish custom application metrics with Boto3 and AWS CLI
Extract metrics from log patterns using Metric Filters
Query and analyze log data using advanced CloudWatch Logs Insights syntax

Use Cases

Debugging application issues by searching log streams for specific error patterns
Automating Lambda error rate alerts and notification workflows
Building centralized monitoring dashboards for multi-service AWS environments