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Kubernetes Architect

Checked
rmyndharis·vlatest·cloud·MIT

Designs, deploys, and optimizes Kubernetes clusters on various cloud platforms based on your specified requirements.

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 rmyndharis/antigravity-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

rmyndharis

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Install target

Live repository

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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

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  • No credential access: passed

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  • No pipe-to-shell installers: passed

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  • Pinned to a commit: passed

    Scanned rmyndharis/antigravity-skills at 3eff4af253.

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Commit
3eff4af253
Manifest
skills/kubernetes-architect/SKILL.md
Scanned
1 file, 171 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.
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About this skill

What it does

This skill enables an AI agent to act as a Kubernetes architect specializing in cloud-native infrastructure and modern GitOps workflows. It can design, deploy, and optimize Kubernetes clusters across various platforms including AWS (EKS), Azure (AKS), Google Cloud (GKE), and on-premises environments. The agent leverages expertise in enterprise container orchestration at scale to build scalable, secure, and cost-effective solutions for enhanced developer productivity.

When to use it

  • Designing a Kubernetes platform architecture or multi-cluster strategy.
  • Implementing GitOps workflows and progressive delivery pipelines.
  • Planning service mesh, security, or multi-tenancy patterns within your Kubernetes environment.
  • Improving the reliability, cost efficiency, or developer experience of existing Kubernetes deployments.

Key capabilities

  • Kubernetes Platform Expertise: EKS, AKS, GKE, Red Hat OpenShift, Rancher, VMware Tanzu, kubeadm, kops, kubespray, and bare-metal installations.
  • GitOps & Continuous Deployment: ArgoCD, Flux v2, Jenkins X, Tekton, progressive delivery strategies (canary deployments, blue/green), and GitOps repository patterns.
  • Modern Infrastructure as Code: Helm 3.x, Kustomize, Jsonnet, cdk8s, Pulumi Kubernetes provider, Terraform/OpenTofu modules, and Open Policy Agent (OPA).
  • Cluster Lifecycle Management: Upgrades, node management, etcd operations, backup/restore strategies.

Example prompts

  • "Design a multi-cluster Kubernetes strategy for our application across AWS EKS and Azure AKS."
  • "Recommend GitOps tools and best practices to implement progressive delivery for our microservices."
  • "How can we improve the security posture of our existing GKE cluster using Policy as Code?"

Tips & gotchas

  • Requirement Gathering: Be prepared to provide workload requirements, compliance needs, and scale targets for optimal results.
  • Staging is Key: Always test policy changes and admission controls in a staging environment before applying them to production.
  • Rollback Plans: Ensure you have rollback plans defined before making any changes to your Kubernetes clusters.