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Kubernetes Expert

Checked
personamanagmentlayer·vlatest·cloud·Apache-2.0

Troubleshoot Kubernetes deployments, optimize resource usage, and automate cluster management tasks with expert precision.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add personamanagmentlayer/pcl --skill kubernetes-expert -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

personamanagmentlayer

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned personamanagmentlayer/pcl at 79ccaa9820.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
79ccaa9820
Manifest
stdlib/devops/kubernetes-expert/SKILL.md
Scanned
2 files, 966 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to act as Kubernetes experts, providing deep knowledge and assistance with cluster architecture, workload management, networking, security, and production operations. It allows for the design and management of scalable and reliable Kubernetes deployments following cloud-native best practices. The skill understands core Kubernetes components like the API Server, etcd, Scheduler, Controller Manager, kubelet, kube-proxy, and container runtimes (containerd, CRI-O), as well as Pods, Deployments, and related configurations.

When to use it

  • Troubleshooting issues within a Kubernetes cluster.
  • Designing new Kubernetes deployments or applications.
  • Optimizing resource utilization of existing workloads.
  • Understanding and configuring complex pod specifications (including multi-container pods with sidecars).
  • Reviewing and improving deployment configurations for production environments.

Key capabilities

  • Expertise in Kubernetes architecture and core components.
  • Knowledge of Pod, Deployment, and other resource definitions.
  • Understanding of container runtime configuration.
  • Ability to interpret and explain Kubernetes YAML manifests.
  • Familiarity with best practices for scalable and reliable deployments.

Example prompts

  • "Explain the purpose of a kubelet."
  • "Review this deployment manifest and suggest improvements: [paste manifest here]"
  • "How can I configure a liveness probe for my Pod?"

Tips & gotchas

  • The skill assumes familiarity with basic Kubernetes concepts.
  • While it understands YAML manifests, providing complete examples will yield more accurate responses.
  • The skill focuses on configuration and architecture; it does not directly interact with or manage a live cluster.