dot-ai

Manages Kubernetes cluster operations through natural language queries and commands.

2|Updated Dec 8, 2025

Search Tags:#devops #troubleshooting #cli #ai #kubernetes #cluster management

Ready to run

npx skills add https://github.com/vfarcic/dot-ai-website --skill dot-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dot-ai
Source: https://github.com/vfarcic/dot-ai-website/tree/main/.claude/skills/dot-ai
Command: npx skills add https://github.com/vfarcic/dot-ai-website --skill dot-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill simplifies complex Kubernetes and DevOps operations by providing natural language interfaces for cluster management, deployment, troubleshooting, and organizational knowledge management.

Core Features & Use Cases

Natural Language Queries: Ask questions about your Kubernetes cluster in plain English.
AI-Powered Deployments: Get intelligent recommendations for deploying applications.
Troubleshooting & Remediation: Automatically diagnose and fix common cluster issues.
Day 2 Operations: Manage scaling, updates, rollbacks, and deletions of resources.
Knowledge Management: Ingest, search, and query organizational knowledge bases and patterns.

Quick Start

Use the dot-ai skill to list all pods in the 'default' namespace.

Frequently Asked Questions about dot-ai

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

FAQPage Schema

How do I manage Kubernetes cluster operations using natural language commands?▼

You can manage Kubernetes cluster operations by issuing natural language queries to the dot-ai assistant. It interprets plain English requests to execute cluster queries, provide AI-driven deployment suggestions, and perform Day 2 operational tasks like scaling and rollbacks.

Can I use AI to troubleshoot and diagnose common Kubernetes cluster issues?▼

Yes, you can use AI to troubleshoot and diagnose Kubernetes cluster issues. The assistant automatically diagnoses common cluster problems and facilitates resolution, streamlining the remediation process during Day 2 operations without requiring complex manual CLI commands.

What is the best way to query organizational knowledge bases for DevOps patterns?▼

The best way to query organizational knowledge bases for DevOps patterns is through an AI assistant that supports ingestion, search, and querying. This approach allows you to retrieve established patterns, policies, and knowledge using plain natural language.

Does this AI assistant support Day 2 operations like scaling and rollbacks for Kubernetes resources?▼

Yes, this AI assistant supports Day 2 operations for Kubernetes resources. You can manage scaling, updates, rollbacks, and deletions of resources directly through a natural language interface, simplifying ongoing cluster maintenance.

How do I get AI-powered deployment recommendations for my Kubernetes cluster?▼

To get AI-powered deployment recommendations, you simply ask the assistant for deployment suggestions in natural language. It analyzes your Kubernetes cluster context and provides intelligent recommendations for deploying applications.

What are the limitations of using natural language interfaces for Kubernetes cluster management?▼

Natural language interfaces for Kubernetes cluster management abstract underlying CLI commands, which may limit granular control for highly complex or custom edge cases. Users should rely on it for standard queries, deployments, and Day 2 operations, while verifying critical changes manually.