creating-kubernetes-deployments
About
This skill generates production-ready Kubernetes manifests including Deployments, Services, Ingress, and ConfigMaps following best practices. Use it when developers request K8s resource creation, mentioning terms like "Kubernetes deployment" or "create service." It outputs complete YAML configurations with health checks, auto-scaling, and resource management.
Quick Install
Claude Code
Recommended/plugin add https://github.com/jeremylongshore/claude-code-plugins-plusgit clone https://github.com/jeremylongshore/claude-code-plugins-plus.git ~/.claude/skills/creating-kubernetes-deploymentsCopy and paste this command in Claude Code to install this skill
Documentation
Overview
This skill allows Claude to create production-ready Kubernetes deployments and services. It generates complete K8s manifests with health checks, auto-scaling, ingress, TLS, and resource management configured.
How It Works
- Receiving Request: Claude receives a request to create Kubernetes resources.
- Generating Manifests: Claude generates YAML manifests for deployments, services, configmaps, secrets, ingress, and horizontal pod autoscalers based on the user's requirements.
- Presenting Manifests: Claude presents the generated manifests to the user for review and deployment.
When to Use This Skill
This skill activates when you need to:
- Create a new Kubernetes deployment.
- Define a Kubernetes service for an application.
- Generate Kubernetes manifests for any K8s resource.
Examples
Example 1: Deploying a Web Application
User request: "Create a Kubernetes deployment for a web application named 'my-web-app' with 3 replicas, exposing port 80."
The skill will:
- Generate a Deployment manifest for 'my-web-app' with 3 replicas.
- Generate a Service manifest to expose port 80 of the deployment.
Example 2: Setting up Ingress for a Service
User request: "Set up an Ingress resource to route traffic to the 'my-web-app' service."
The skill will:
- Generate an Ingress manifest to route external traffic to the 'my-web-app' service.
- Configure TLS termination for secure access.
Best Practices
- Resource Limits: Define resource requests and limits for each container to ensure fair resource allocation.
- Health Checks: Configure liveness and readiness probes to enable automatic restarts and prevent traffic from being routed to unhealthy pods.
- Namespaces: Use namespaces to isolate different environments or applications within the cluster.
Integration
This skill can be used with other Claude Code plugins for tasks such as deploying infrastructure-as-code (IaC) or integrating with CI/CD pipelines. It provides the Kubernetes manifests that other plugins can then deploy or manage.
GitHub Repository
Related Skills
sglang
MetaSGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
evaluating-llms-harness
TestingThis Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.
llamaguard
OtherLlamaGuard is Meta's 7-8B parameter model for moderating LLM inputs and outputs across six safety categories like violence and hate speech. It offers 94-95% accuracy and can be deployed using vLLM, Hugging Face, or Amazon SageMaker. Use this skill to easily integrate content filtering and safety guardrails into your AI applications.
langchain
MetaLangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.
