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KubeSphere DevOps Overview

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Automated pipeline construction and troubleshooting for KubeSphere DevOps projects.

What it does

Adding this skill configures your assistant to navigate the complex relationship between KubeSphere, Kubernetes namespaces, and Jenkins backends. It translates user-friendly project requests into the precise API calls required for the KubeSphere DevOps extension, handling the nuances of workspace-based resource mapping and identifier generation automatically.

By installing this, you allow the assistant to manage pipeline lifecycle tasks, credential management, and Git-based repository hooks within a KubeSphere environment. It acts as an abstraction layer for operators who need to perform administrative or developer tasks without manually reconciling the differences between custom resources and underlying namespace labels.

When it earns its place

Reach for it when…

Apply this when designing or debugging CI/CD workflows that rely on Jenkins-backed pipelines within a KubeSphere cluster, or when you need to programmatically define DevOps projects and their associated workspace labels.

Look elsewhere when…

Do not use this for general Kubernetes cluster administration that falls outside the specific KubeSphere DevOps extension, such as standard pod scheduling, network policy management, or managing non-DevOps-linked workspaces.

What to say to use it

You never invoke a skill directly — the assistant picks it up when your request matches what it covers. These are the kinds of things that do that.

  • help me figure out why my KubeSphere pipeline is failing to trigger
  • how do I associate a new DevOps project with a specific workspace
  • show me the steps to configure a Jenkins pipeline in KubeSphere
  • explain the difference between shortnames and fullnames for DevOps projects

Install it

Install for all your projects

Copy the skill directory into your personal skills folder. Claude picks it up on its own the next time your request matches what it does — there is nothing to enable.

bash
git clone --depth 1 --branch master https://github.com/kubesphere/kubesphere.git /tmp/kubesphere
mkdir -p ~/.claude/skills
cp -r /tmp/kubesphere/skills/kubesphere-devops-overview ~/.claude/skills/kubesphere-devops-overview

Install for one project only

Put it in the project's own skills folder instead, so it can be committed and shared with everyone working on that repository.

bash
cp -r /tmp/kubesphere/skills/kubesphere-devops-overview .claude/skills/kubesphere-devops-overview

If a skill of the same name exists in both places, the personal one wins.

Installing on Claude.ai or through the API instead? The full guide covers every surface.

Pair it with an MCP server

KubeSphere DevOps Overview changes how the work is done. These servers change what Claude can reach while doing it.

How skills and MCP servers differ →