KubeSphere Cluster Management
94TrustedInstructions onlyInformation retrieval for KubeSphere clusters via read-only status checks and inspection.
What it does
Installing this skill equips your assistant to interpret and summarize the state of your KubeSphere infrastructure. Instead of digging through raw configuration files, the assistant gains the ability to parse cluster metadata and conditions to answer specific questions about health or versioning.
This is strictly an observational tool. It converts technical cluster resource data into readable insights, allowing the assistant to provide immediate updates on the environment without manual intervention.
When it earns its place
Reach for it when…
Apply this when you need a quick health check on your clusters, require confirmation of current KubeSphere or Kubernetes versions, or want to verify which clusters are currently ready for workload deployment.
Look elsewhere when…
Do not attempt to use this for modifying cluster topology, scaling node pools, or performing administrative tasks such as upgrading KubeSphere versions or removing clusters, as it lacks permissions for write operations.
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.
- show me the status of all my clusters
- what version of kubesphere is my cluster running
- can you list all my kubesphere clusters and their current health
- give me the details for the specific cluster named production
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.
git clone --depth 1 --branch master https://github.com/kubesphere/kubesphere.git /tmp/kubesphere
mkdir -p ~/.claude/skills
cp -r /tmp/kubesphere/skills/kubesphere-cluster-management ~/.claude/skills/kubesphere-cluster-managementInstall 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.
cp -r /tmp/kubesphere/skills/kubesphere-cluster-management .claude/skills/kubesphere-cluster-managementIf 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 Cluster Management changes how the work is done. These servers change what Claude can reach while doing it.
- AWS Labs MCP Server76The skill encodes how your deployments are supposed to go; AWS Labs MCP Server is what lets Claude see the infrastructure they go to.
- Sentry MCP Server81Sentry MCP Server shows what actually broke, which is what turns a runbook from a document into a response.
- Circleci MCP Server58Pair with Circleci MCP Server so pipeline state informs the procedure rather than being described after the fact.