dot-ai-query

Query Kubernetes cluster resources and status using natural language.

2|Updated Dec 8, 2025
One-click install
npx skills add https://github.com/vfarcic/dot-ai-website --skill dot-ai-query
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dot-ai-query
Source: https://github.com/vfarcic/dot-ai-website/tree/main/.claude/skills/dot-ai-query
Command: npx skills add https://github.com/vfarcic/dot-ai-website --skill dot-ai-query

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a natural language interface to query and understand your Kubernetes cluster, making complex information accessible without needing to memorize kubectl commands.

Core Features & Use Cases

  • Natural Language Queries: Ask questions about your cluster in plain English.
  • Resource Discovery: Find out what deployments, pods, services, and other resources are running.
  • Status Checks: Inquire about the health and status of specific applications or namespaces.
  • Use Case: Ask "What is the status of the database pods?" or "Show me all running deployments in the production namespace."

Quick Start

Use the dot-ai query skill to ask what databases are running in the cluster.

Frequently Asked Questions about dot-ai-query

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query Kubernetes cluster resources without using kubectl commands?

You can query Kubernetes cluster resources using a natural language interface, allowing you to ask questions about deployments, pods, and services in plain English without memorizing kubectl commands.

Can I check the health and status of specific pods in a Kubernetes namespace?

Yes, you can perform health checks for specific resources by asking status questions in plain English, such as inquiring about the health of database pods within a specific namespace.

What is the best way to find out what databases are running in my Kubernetes cluster?

The best way to find running databases is using a natural language query interface to ask what databases are currently running in the cluster, bypassing complex command-line syntax.

How do I discover installed operators and deployments across Kubernetes namespaces?

You can discover installed operators and running deployments by asking natural language questions about your cluster capabilities and resource status across different namespaces.

Does this natural language query approach work for checking application status in production environments?

Yes, this approach works for production environments by allowing you to ask plain English questions about the health and status of specific applications running in your production namespace.