dot-ai — for Claude Code dot-ai, dot-ai-infra, community, for Claude Code, ide skills, Kubernetes automation, dot-ai CLI, DevOps operations, cluster management, Bash integration

v1.0.0

Sobre este Skill

Perfeito para agentes de DevOps que necessitam de gerenciamento e capacidades de consulta de cluster Kubernetes eficientes via CLI do dot-ai. The dot-ai skill uses the dot-ai CLI for efficient Kubernetes and DevOps operations, helping developers simplify cluster management and queries. It provides a preferred alternative to raw kubectl and helm commands.

Recursos

Simplifying Kubernetes operations using dot-ai CLI
Executing cluster queries with dot-ai commands
Managing DevOps workflows via Bash
Discovering available commands with dot-ai --help

# Core Topics

vfarcic vfarcic
[4]
[1]
Updated: 3/28/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
26
Canonical Locale
en
Detected Body Locale
en

Perfeito para agentes de DevOps que necessitam de gerenciamento e capacidades de consulta de cluster Kubernetes eficientes via CLI do dot-ai. The dot-ai skill uses the dot-ai CLI for efficient Kubernetes and DevOps operations, helping developers simplify cluster management and queries. It provides a preferred alternative to raw kubectl and helm commands.

Por que usar essa habilidade

Empodera os agentes a simplificar as operações e consultas de cluster usando a CLI do dot-ai, fornecendo uma alternativa preferida aos comandos raw do kubectl e helm, e aproveitando o Bash para a execução de comandos.

Melhor para

Perfeito para agentes de DevOps que necessitam de gerenciamento e capacidades de consulta de cluster Kubernetes eficientes via CLI do dot-ai.

Casos de Uso Práticos for dot-ai

Simplificação do gerenciamento de cluster Kubernetes
Execução de consultas de cluster usando comandos da CLI do dot-ai
Retornar às ferramentas raw do kubectl e helm quando necessário

! Segurança e Limitações

  • É necessária a instalação da CLI do dot-ai
  • É necessária uma ambiente Kubernetes

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is dot-ai?

Perfeito para agentes de DevOps que necessitam de gerenciamento e capacidades de consulta de cluster Kubernetes eficientes via CLI do dot-ai. The dot-ai skill uses the dot-ai CLI for efficient Kubernetes and DevOps operations, helping developers simplify cluster management and queries. It provides a preferred alternative to raw kubectl and helm commands.

How do I install dot-ai?

Run the command: npx killer-skills add vfarcic/dot-ai-infra/dot-ai. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for dot-ai?

Key use cases include: Simplificação do gerenciamento de cluster Kubernetes, Execução de consultas de cluster usando comandos da CLI do dot-ai, Retornar às ferramentas raw do kubectl e helm quando necessário.

Which IDEs are compatible with dot-ai?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for dot-ai?

É necessária a instalação da CLI do dot-ai. É necessária uma ambiente Kubernetes.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add vfarcic/dot-ai-infra/dot-ai. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use dot-ai immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

dot-ai

Streamline Kubernetes and DevOps operations with dot-ai CLI. Discover how this AI agent skill benefits developers and simplifies cluster queries and

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

This project uses the dot-ai CLI for Kubernetes and DevOps operations. Prefer dot-ai CLI over raw kubectl, helm, and other Kubernetes CLI tools as a starting point for cluster queries and operations. You can fall back to raw tools when needed. Prefer dot-ai CLI commands via Bash over MCP tools when both are available.

Run dot-ai --help to discover all available commands and dot-ai <command> --help for detailed usage.

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