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Kubernetes Orchestration

Checked
spjoshis·vlatest·cloud

Automates Kubernetes cluster deployment, scaling, and management using spjoshis's expertise for optimized cloud infrastructure.

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 spjoshis/claude-code-plugins --skill kubernetes-orchestration -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

spjoshis

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 spjoshis/claude-code-plugins at ddcf16ef7b.

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

Scanned
1 file, 114 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, scale resources based on demand, and troubleshoot common issues within a Kubernetes environment. The agent can execute commands against your cluster using kubectl and interpret the results.

When to use it

  • Automated deployments: Deploy new versions of an application to your Kubernetes cluster without manual intervention.
  • Resource scaling: Automatically increase or decrease the number of pods based on real-time traffic patterns.
  • Troubleshooting: Diagnose and resolve issues within a Kubernetes environment, such as pod failures or resource constraints.
  • Cluster management: Perform routine maintenance tasks like rolling updates and node upgrades.

Key capabilities

  • kubectl command execution
  • Resource deployment (pods, services, deployments)
  • Scaling of resources
  • Troubleshooting assistance

Example prompts

  • "Deploy the latest version of my application to the 'staging' Kubernetes cluster."
  • "Scale the number of pods for service 'my-app' based on CPU utilization."
  • "What is the status of pod 'nginx-deployment-789f456b7-abcde'?"

Tips & gotchas

  • This skill requires appropriate kubectl configuration and access to your Kubernetes cluster. Ensure the AI agent has the necessary credentials and permissions.