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Kubernetes Deployment

Listed
maneeshanif·vlatest·cloud

Helps with Kubernetes, deployment as part of deploying and managing cloud infrastructure workflows.

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 maneeshanif/todo-spec-driven --skill kubernetes-deployment -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

maneeshanif

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: storage.googleapis.com.

    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

    storage.googleapis.comundeclared

    What it found

    • .claude/skills/kubernetes-deployment/SKILL.md:389contacts storage.googleapis.com
      curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64

  • 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 maneeshanif/todo-spec-driven at c76f22dd44.

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

Commit
c76f22dd44
Manifest
.claude/skills/kubernetes-deployment/SKILL.md
Scanned
5 files, 1,845 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 create and manage Kubernetes Deployment resources. It can generate YAML configurations for deployments, apply them to a Kubernetes cluster, and retrieve information about existing deployments. The agent can also update or delete deployment resources as needed.

When to use it

  • Deploying a new application: Quickly spin up a new application by defining its desired state in a Deployment resource.
  • Scaling an existing application: Adjust the number of replicas for a running application based on load or demand.
  • Updating an application's configuration: Modify the image version or other settings within a deployment without downtime.
  • Troubleshooting deployments: Inspect the status and logs of Kubernetes Deployments to diagnose issues.

Key capabilities

  • Generate Kubernetes Deployment YAML
  • Apply Deployment configurations to a cluster
  • Retrieve information about existing Deployments
  • Update Deployment resources
  • Delete Deployment resources

Example prompts

  • "Create a deployment named 'my-app' with 3 replicas using the image 'nginx:latest'."
  • "Scale the 'my-app' deployment to 5 replicas."
  • "Show me the status of the 'my-app' deployment."

Tips & gotchas

The agent requires access to a Kubernetes cluster and appropriate credentials. Ensure that the AI agent has sufficient permissions within the cluster to perform the requested actions.