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Kubernetes Specialist

Listed
jeffallan·vlatest·cloud·MIT

Troubleshoot Kubernetes deployments, optimize resource usage, and automate cluster management tasks with expert guidance.

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 jeffallan/claude-skills --skill kubernetes-specialist -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

jeffallan

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 3 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 4 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: get.submariner.io, istio.io, myapp-canary.production, run.linkerd.io.

    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

    myapp-canary.productionundeclaredgithub.comsource hostget.submariner.ioundeclaredweb-app-service.production.svc.cluster.locallocalistio.ioundeclaredrun.linkerd.ioundeclaredweb-app.production.svc.cluster.locallocal

    What it found (3 of 4)

    • skills/kubernetes-specialist/references/gitops.md:389contacts myapp-canary.production
      cmd: "hey -z 1m -q 10 -c 2 http://myapp-canary.production:80/"
    • skills/kubernetes-specialist/references/multi-cluster.md:151contacts get.submariner.io
      curl -Ls https://get.submariner.io | bash
    • skills/kubernetes-specialist/references/service-mesh.md:9contacts istio.io
      curl -L https://istio.io/downloadIstio | sh -

  • No credential access: failed

    Touches credential material in 1 place.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found

    • skills/kubernetes-specialist/references/multi-cluster.md:448Kubernetes credentials
      # ~/.kube/config

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 3 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • skills/kubernetes-specialist/references/multi-cluster.md:151remote script piped into a shell
      curl -Ls https://get.submariner.io | bash
    • skills/kubernetes-specialist/references/service-mesh.md:9remote script piped into a shell
      curl -L https://istio.io/downloadIstio | sh -
    • skills/kubernetes-specialist/references/service-mesh.md:322remote script piped into a shell
      curl --proto '=https' --tlsv1.2 -sSfL https://run.linkerd.io/install | sh

  • 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.

  • Pinned to a commit: passed

    Scanned jeffallan/claude-skills at 1be15d8064.

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

Commit
1be15d8064
Manifest
skills/kubernetes-specialist/SKILL.md
Scanned
12 files, 5,554 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

The Kubernetes Specialist skill enables AI agents to manage and optimize containerized applications using Kubernetes. It provides capabilities such as deploying, scaling, and monitoring workloads on Kubernetes clusters, along with troubleshooting common issues related to pods, services, and configurations.

When to use it

  • Deploying microservices-based applications in a production environment.
  • Scaling applications based on traffic or resource usage.
  • Diagnosing failures in Kubernetes pods or services.
  • Automating CI/CD pipelines that interact with Kubernetes clusters.

Key capabilities

  • Deployment of containerized applications using Kubernetes manifests.
  • Cluster scaling and resource management.
  • Monitoring and logging for Kubernetes workloads.
  • Troubleshooting pod errors, service configurations, and network policies.

Example prompts

  • "Deploy a new microservice to the Kubernetes cluster using this manifest."
  • "Scale the 'user-service' deployment to 5 replicas based on CPU usage."
  • "Investigate why the 'database-pod' is in a CrashLoopBackOff state."

Tips & gotchas

  • Ensure that your AI agent has access to the correct Kubernetes API credentials and cluster context.
  • Some advanced features may require familiarity with YAML manifests and Kubernetes APIs.