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Kubernetes

Checked
kontrolplane·vlatest·cloud

Automates Kubernetes cluster management tasks like scaling, upgrades, and security patching via a unified control plane.

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 kontrolplane/skills --skill kubernetes -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

kontrolplane

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 kontrolplane/skills at 228d7342ef.

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

Scanned
1 file, 74 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 provides access to Kubernetes expertise within an AI agent. It allows users to interact with and manage Kubernetes clusters, deploy applications, and troubleshoot issues related to container orchestration. The skill can automate tasks like creating deployments, managing services, and scaling applications based on defined parameters.

When to use it

  • Deploying Applications: Quickly create and deploy new applications to a Kubernetes cluster.
  • Troubleshooting Cluster Issues: Diagnose and resolve problems within your Kubernetes environment.
  • Managing Resources: Scale existing deployments or adjust resource allocations for running containers.
  • Automating Routine Tasks: Automate repetitive tasks like rolling updates or log analysis.

Key capabilities

  • Kubernetes cluster management
  • Application deployment
  • Resource scaling
  • Troubleshooting and diagnostics

Example prompts

  • "Deploy the 'my-app' Docker image to my Kubernetes cluster."
  • "Scale the 'web-service' deployment to 3 replicas."
  • "Show me the logs for the 'database' pod in the 'production' namespace."
  • “Create a new service exposing port 80 on my application.”

Tips & gotchas

The skill requires access credentials and proper configuration to connect to your Kubernetes cluster. Ensure that the AI agent has sufficient permissions within the cluster to perform the requested actions.