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Kubernetes

Checked
bobmatnyc·vlatest·cloud·MIT

Automates Kubernetes deployments, scaling, and troubleshooting using Bobmatnyc's expertise for efficient cluster management.

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 bobmatnyc/claude-mpm-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

bobmatnyc

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 bobmatnyc/claude-mpm-skills at 718070a7d6.

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

Commit
718070a7d6
Manifest
universal/infrastructure/kubernetes/SKILL.md
Scanned
6 files, 398 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 with container orchestration platforms, allowing them to manage cluster lifecycles, deploy applications, and troubleshoot infrastructure issues directly. It provides direct access to core APIs for scaling workloads, monitoring pod health, and applying configuration changes across distributed systems.

When to use it

  • Automating the deployment of microservices during CI/CD pipelines without manual intervention.
  • Diagnosing runtime errors in production environments by querying pod logs and event streams.
  • Scaling application replicas dynamically based on traffic load or resource utilization metrics.
  • Managing cluster updates, including rolling upgrades and node maintenance windows.

Key capabilities

  • Deploying and managing pods, services, deployments, and stateful sets via YAML manifests.
  • Executing imperative commands to inspect resources like nodes, namespaces, and persistent volumes.
  • Applying configuration patches and scaling strategies to adjust workload capacity instantly.
  • Monitoring cluster health through built-in metrics and event history retrieval.

Example prompts

  • "Deploy a new Nginx pod in the production namespace with 3 replicas and expose it via a LoadBalancer service."
  • "Check the status of all pods in the 'data-processing' namespace and list any that are not running or pending."
  • "Scale the 'web-api' deployment to 5 replicas and verify the update completed successfully without downtime."

Tips & gotchas

Ensure your AI agent has appropriate RBAC permissions before attempting cluster modifications, as unauthorized actions can disrupt services. Always validate YAML manifests locally or in a staging environment before applying them to production clusters to prevent accidental outages.