k8s-gen

What This Skill Does

The k8s-gen skill is an intelligent agent designed to bridge the gap between container-based development and production-grade Kubernetes deployments. By leveraging the power of AI, it eliminates the manual, error-prone task of writing complex Kubernetes YAML manifests. Whether you are migrating existing infrastructure from a docker-compose setup or describing a new service architecture in plain English, this skill interprets your requirements to generate idiomatic, production-ready Kubernetes objects including Deployments, Services, ConfigMaps, and PersistentVolumeClaims. It ensures that standard configurations, such as resource limits, health checks, and networking strategies, are correctly defined, enabling you to move from intent to deployment in seconds.

Installation

To integrate this tool into your environment using OpenClaw, run the following command in your terminal:

clawhub install openclaw/skills/skills/lxgicstudios/k8s-gen

No complex configuration or environment setup is required. The skill leverages npx for execution, requiring only Node.js 18+ to function, making it highly portable across different operating systems and CI/CD pipelines.

Use Cases

This skill is ideal for developers who are comfortable with Docker but find the verbosity of K8s YAML overwhelming. It is perfect for rapidly prototyping cloud-native applications, migrating local docker-compose stacks to cloud clusters, or standardizing infrastructure as code within a team. It acts as an educational tool for those learning K8s concepts by providing readable, well-structured examples of how services and volumes translate to the Kubernetes API.

Example Prompts

1. "Generate K8s manifests for a Node.js web server with 3 replicas and a Redis cache dependency."
2. "Convert this docker-compose.yml file to a Kubernetes deployment with an Ingress controller and persistent storage for the database."
3. "Create a Kubernetes ConfigMap and Deployment for a Go service that needs environment variables loaded from a file."

Tips & Limitations

• Review Before Apply: While the generated YAML follows best practices, always audit the resource limits (CPU/Memory) before running kubectl apply to ensure they match your specific cluster's capacity.
• Start Small: Build your architecture service-by-service. Validating individual components ensures you understand the networking topology before scaling up to complex, multi-service micro-architectures.
• Namespace Management: Always utilize the --namespace flag if you are working in a shared cluster to prevent resource collisions.
• Version Control: Treat the output as code. Once generated, save the manifests in your Git repository to track infrastructure changes over time.