dot-ai — for Claude Code dot-ai, dot-agent-deck, community, for Claude Code, ide skills, dot-ai --help, dot-ai <command> --help, project, Kubernetes, operations

v1.0.0
GitHub

Über diesen Skill

Geeigneter Einsatz: Ideal for AI agents that need this project uses the dot-ai cli for kubernetes and devops operations. Lokalisierte Zusammenfassung: A rich terminal dashboard for monitoring and controlling multiple AI coding agent sessions This project uses the dot-ai CLI for Kubernetes and DevOps operations. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Funktionen

This project uses the dot-ai CLI for Kubernetes and DevOps operations.
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.
A rich terminal dashboard for monitoring and controlling multiple AI coding agent sessions
You can fall back to raw tools when needed

# Kernthemen

for Claude Code dot-ai --help dot-ai <command> --help project Kubernetes operations
vfarcic vfarcic
[1]
[0]
Aktualisiert: 3/27/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

Geeigneter Einsatz: Ideal for AI agents that need this project uses the dot-ai cli for kubernetes and devops operations. Lokalisierte Zusammenfassung: A rich terminal dashboard for monitoring and controlling multiple AI coding agent sessions This project uses the dot-ai CLI for Kubernetes and DevOps operations. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Warum diese Fähigkeit verwenden

Empfehlung: dot-ai helps agents this project uses the dot-ai cli for kubernetes and devops operations. A rich terminal dashboard for monitoring and controlling multiple AI coding agent sessions This project uses the

Am besten geeignet für

Geeigneter Einsatz: Ideal for AI agents that need this project uses the dot-ai cli for kubernetes and devops operations.

↓ Handlungsfähige Anwendungsfälle for dot-ai

Anwendungsfall: This project uses the dot-ai CLI for Kubernetes and DevOps operations
Anwendungsfall: Prefer dot-ai CLI commands via Bash over MCP tools when both are available
Anwendungsfall: Run dot-ai --help to discover all available commands and dot-ai <command --help for detailed usage

! Sicherheit & Einschränkungen

  • Einschraenkung: Requires repository-specific context from the skill documentation
  • Einschraenkung: Works best when the underlying tools and dependencies are already configured

About The Source

The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

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 und Installationsschritte

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

? Häufige Fragen

Was ist dot-ai?

Geeigneter Einsatz: Ideal for AI agents that need this project uses the dot-ai cli for kubernetes and devops operations. Lokalisierte Zusammenfassung: A rich terminal dashboard for monitoring and controlling multiple AI coding agent sessions This project uses the dot-ai CLI for Kubernetes and DevOps operations. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Wie installiere ich dot-ai?

Führen Sie den Befehl aus: npx killer-skills add vfarcic/dot-agent-deck/dot-ai. Er funktioniert mit Cursor, Windsurf, VS Code, Claude Code und mehr als 19 weiteren IDEs.

Wofür kann ich dot-ai verwenden?

Wichtige Einsatzbereiche sind: Anwendungsfall: This project uses the dot-ai CLI for Kubernetes and DevOps operations, Anwendungsfall: Prefer dot-ai CLI commands via Bash over MCP tools when both are available, Anwendungsfall: Run dot-ai --help to discover all available commands and dot-ai <command --help for detailed usage.

Welche IDEs sind mit dot-ai kompatibel?

Dieser Skill ist mit 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 kompatibel. Nutzen Sie die Killer-Skills CLI für eine einheitliche Installation.

Gibt es Einschränkungen bei dot-ai?

Einschraenkung: Requires repository-specific context from the skill documentation. Einschraenkung: Works best when the underlying tools and dependencies are already configured.

↓ So installieren Sie den Skill

  1. 1. Terminal öffnen

    Öffnen Sie Ihr Terminal oder die Kommandozeile im Projektverzeichnis.

  2. 2. Installationsbefehl ausführen

    Führen Sie aus: npx killer-skills add vfarcic/dot-agent-deck/dot-ai. Die CLI erkennt Ihre IDE oder Ihren Agenten automatisch und richtet den Skill ein.

  3. 3. Skill verwenden

    Der Skill ist jetzt aktiv. Ihr KI-Agent kann dot-ai sofort im aktuellen Projekt verwenden.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

dot-ai

Install dot-ai, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

SKILL.md
Readonly
Upstream Repository Material
The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

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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