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Kubernetes

Checked
mindrally·vlatest·cloud·Apache-2.0

Automates Kubernetes cluster management tasks like scaling, deployments, and monitoring via intelligent AI assistance.

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 mindrally/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

mindrally

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 mindrally/skills at 7682ca7771.

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

Scanned
1 file, 65 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

The Kubernetes skill enables AI agents to interact directly with container orchestration platforms, allowing them to deploy, scale, and manage containerized applications dynamically. It provides the necessary interface to execute standard Kubernetes commands and manipulate cluster resources without manual intervention.

When to use it

  • Automating the deployment of microservices to a production cluster during CI/CD pipelines.
  • Scaling application pods up or down based on real-time traffic demands.
  • Troubleshooting failing containers by inspecting logs and restarting unhealthy pods.
  • Managing configuration updates across multiple nodes in a distributed environment.

Key capabilities

  • Deploying applications to Kubernetes clusters via YAML manifests or imperative commands.
  • Scaling replica counts for deployments, replicasets, and statefulsets.
  • Inspecting cluster health, pod status, and event logs.
  • Executing administrative tasks like rolling updates and rollbacks.

Example prompts

  • "Deploy the latest version of our payment service to the staging namespace using the provided Docker image."
  • "Scale the web-frontend deployment to 10 replicas to handle increased load during the marketing campaign."
  • "Check the status of all pods in the production cluster and restart any that are in a CrashLoopBackOff state."

Tips & gotchas

Ensure your AI agent has valid authentication credentials (such as kubeconfig files or service account tokens) before attempting to connect to the cluster. While this skill handles orchestration tasks, it does not replace the need for human oversight when making critical architectural changes to production environments.