RepoAI
Browse MCPs

KubeSphere DevOps Pipeline

94TrustedInstructions only

Automated pipeline lifecycle management using Kubernetes custom resource definitions.

What it does

Integrating this skill shifts the assistant from generic automation to specific KubeSphere DevOps management. It enables the assistant to interface with Jenkins-backed pipelines through the native Kubernetes API, allowing for a declaration-first approach to CI/CD workflows.

By treating pipeline runs and definitions as custom resources, the assistant helps maintain consistent state across your cluster. It translates high-level task requirements into the necessary resource manifests, ensuring that your automated workflows align with your existing cluster architecture.

When it earns its place

Reach for it when…

Use this to programmatically initialize, execute, or inspect status for CI/CD pipelines defined within a KubeSphere environment. It is ideal for drafting the required custom resource YAML manifests for multi-branch or standard pipelines while ensuring proper handling of build parameters.

Look elsewhere when…

Do not use this for managing Jenkins instances that exist outside of a KubeSphere deployment or for workflows not utilizing the specific custom resource definitions provided by this platform. It also lacks support for deep debugging of internal Jenkins agent pod configurations or underlying Kubernetes node hardware issues.

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.

  • Create a new pipeline run for my Go application in the demo project
  • How can I check the status of my current KubeSphere pipeline
  • List all recent pipeline runs in the production namespace
  • Draft a PipelineRun resource for my main branch deployment

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-pipeline ~/.claude/skills/kubesphere-devops-pipeline

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-pipeline .claude/skills/kubesphere-devops-pipeline

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

How skills and MCP servers differ →