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Operating Kubernetes

Listed
ancoleman·vlatest·cloud·MIT

Automates Kubernetes deployments, scaling, and management tasks using YAML configurations and command-line interactions.

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 ancoleman/ai-design-components --skill operating-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

ancoleman

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: prometheus.monitoring.svc.

    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.

    Hosts contacted

    prometheus.monitoring.svcundeclared

    What it found

    • skills/operating-kubernetes/references/autoscaling.md:470contacts prometheus.monitoring.svc
      serverAddress: http://prometheus.monitoring.svc:9090
    • skills/operating-kubernetes/references/autoscaling.md:536contacts prometheus.monitoring.svc
      serverAddress: http://prometheus.monitoring.svc:9090

  • 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 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 ancoleman/ai-design-components at 76551b7b19.

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

Commit
76551b7b19
Manifest
skills/operating-kubernetes/SKILL.md
Scanned
24 files, 6,451 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 allows AI agents to interact with and manage Kubernetes clusters. It can deploy applications, monitor cluster health, and perform basic administrative tasks within a Kubernetes environment. The agent can execute commands against the cluster using kubectl, enabling automation of common operational workflows.

When to use it

  • Automated deployments: Deploy new versions of an application to your Kubernetes cluster without manual intervention.
  • Cluster monitoring: Check the status of pods, services, and other resources within a Kubernetes cluster.
  • Troubleshooting: Investigate issues by examining logs or executing commands on specific containers.
  • Scaling applications: Automatically adjust the number of replicas for an application based on resource utilization.

Key capabilities

  • kubectl command execution
  • Cluster health monitoring
  • Application deployment and management
  • Resource inspection (pods, services)

Example prompts

  • "Deploy the 'my-app' Docker image to the 'development' namespace."
  • "What is the status of all pods in the 'production' cluster?"
  • "Scale the 'webserver' deployment to 3 replicas."

Tips & gotchas

  • Requires appropriate Kubernetes credentials and access configured for the AI agent.
  • The skill’s effectiveness depends on accurate kubectl commands provided as input.