Managing Amazon Msk

If you're running MSK Provisioned clusters, this skill keeps you from conflating Standard and Express brokers, which emit different metrics and follow entirely different patching models. It walks you through performance troubleshooting (CPU, latency, traffic shaping), consumer lag diagnosis, storage management, and choosing between broker types. The critical warnings section alone is worth the load: it'll stop you from rebooting brokers during under-replication or blaming the cluster when linger.ms=0 is torching your CPU. Includes a Python sizing script that must be run for any capacity planning question. Does not cover MSK Serverless, Connect, or Replicator.

skills.sh installs: 5.5K
GitHub stars: 3.4K
last updated: Aug 21, 2026

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Install

$ npx -y skills add aws/agent-toolkit-for-aws --skill managing-amazon-msk --agent claude-code

Installs into .claude/skills of the current project.

Files

Amazon MSK

Overview

Domain expertise for operating Amazon MSK Provisioned clusters with Standard and Express broker types. Covers performance troubleshooting, consumer lag diagnosis, storage management, cluster sizing, client configuration, and CloudWatch monitoring.

Execute commands using available tools from the AWS MCP server when connected — it provides sandboxed execution, audit logging, and observability. When the MCP server is not available, fall back to the AWS CLI or shell as needed.

Standard brokers use customer-managed EBS volumes for storage. You choose instance types (kafka.m5/m7g/m8g families), provision EBS, and manage storage scaling.

SKILL.md on GitHub

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