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Kubernetes Architect

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sickn33·vlatest·cloud·MIT

Designs, deploys, and optimizes Kubernetes clusters based on provided requirements and best practices.

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 sickn33/agentic-awesome-skills --skill kubernetes-architect -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

sickn33

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.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/kubernetes-architect/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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.
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About this skill

What it does

This skill enables AI agents to design, deploy, and manage Kubernetes clusters with precision. It handles complex orchestration tasks including resource allocation, scaling strategies, and cluster lifecycle management directly within the agent's workflow.

When to use it

  • Automating the initial setup of production-grade Kubernetes environments for new microservices.
  • Generating optimized kubectl commands or YAML manifests for specific deployment requirements.
  • Troubleshooting cluster node failures or pod scheduling issues by analyzing logs and events.
  • Planning high-availability architectures involving multiple nodes, load balancers, and storage classes.

Key capabilities

  • Cluster provisioning and configuration management.
  • Pod lifecycle control and resource quota enforcement.
  • Service mesh integration and network policy definition.
  • Automated scaling based on custom metrics or thresholds.
  • Helm chart generation and package management.

Example prompts

  • "Create a Kubernetes manifest for a stateless web application with 3 replicas, liveness probes, and an HPA configured to scale between 2 and 10 pods."
  • "Analyze why my production cluster is experiencing high CPU throttling and suggest specific node resource adjustments."
  • "Generate a Helm values file that enables TLS termination at the ingress controller and configures persistent storage for a database pod."

Tips & gotchas

Ensure your AI agent has read-only access to view existing cluster state before attempting write operations to prevent accidental data loss. Always validate generated YAML manifests using kubectl apply --dry-run=client in non-production environments first.