Execute and manage Kubernetes clusters via kubectl commands. Query resources, deploy applications, debug containers, manage configurations, and monitor cluster health. Use when working with Kubernetes clusters, containers, deployments, or pod diagnostics.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install kubectlOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install kubectlβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/kubectl/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What kubectl can do for your AI workflow
Kubernetes clusters via directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 3,611+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing kubectl
Help me get started with kubectl
Explains what kubectl does, walks through the setup, and runs a quick demo based on your current project
Use kubectl to execute and manage Kubernetes clusters via kubectl commands
Invokes kubectl with the right parameters and returns the result directly in the conversation
What can I do with kubectl in my developer & devops workflow?
Lists the top use cases for kubectl, with example commands for each scenario
Guides & tutorials for AI skills
kubectl extends your AI assistant with the ability to execute and manage Kubernetes clusters via kubectl commands. Query resources, deploy applications, debug containers, manage configurations, and monitor cluster health. Use when working with Kubernetes clusters, containers, deployments, or pod diagnostics. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using kubectl as its underlying capability.
kubectl works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install kubectl once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with kubectl takes about two minutes. Place the skill at `~/.claude/skills/kubectl/` (personal, all projects) or `.claude/skills/kubectl/` (project-specific), then restart your AI client. From that point, typing `/kubectl` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
kubectl has been installed 3,611 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/kubectl/ for personal use (all projects), or .claude/skills/kubectl/ for project-specific use. Restart your AI client, then invoke with /kubectl or let the AI discover it automatically.
kubectl supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
kubectl is free to install. Check the repository for licensing information.
Execute and manage Kubernetes clusters via kubectl commands. Query resources, deploy applications, debug containers, manage configurations, and monitor cluster health. Use when working with Kubernetes clusters, containers, deployments, or pod diagnostics.
Automate my developer & devops tasks using kubectl
Identifies repetitive steps in your workflow and sets up kubectl to handle them automatically
MCP vs traditional plugins: what's the difference?
kubectl is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.