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KubeSphere ServiceMesh

94TrustedShips scripts

Traffic governance for microservices through Istio, Kiali, and Jaeger integration.

What it does

Adding this skill integrates service mesh capabilities directly into your assistant's workflow. It provides the logic needed to manage Istio, Kiali, and Jaeger components within Composed Apps on your cluster. By handling installation, uninstallation, and status monitoring, it reduces the complexity of maintaining sophisticated networking environments.

The assistant becomes capable of interpreting specific traffic governance requests, such as configuring grayscale release strategies or applying service policies. It interacts with your Kubernetes environment to verify cluster health and ensure that the necessary annotations for mesh governance are correctly applied to your services.

When it earns its place

Reach for it when…

Use this when you need to deploy or troubleshoot a service mesh architecture across your Kubernetes clusters. It is essential for teams implementing traffic mirroring, canary deployments, or blue-green releases who need to visualize network topology and trace requests without manually executing complex shell scripts.

Look elsewhere when…

Do not use this for managing standard Kubernetes services that lack Composed App structures or for tasks involving network policies outside the Istio ecosystem. If your application architecture does not rely on Istio or Jaeger for telemetry and traffic control, this skill will not provide relevant functionality.

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.

  • install the service mesh extension on my cluster
  • how do I check the status of my service mesh deployment
  • set up a grayscale release for my composed application
  • is the service mesh properly configured for my services

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-servicemesh ~/.claude/skills/kubesphere-servicemesh

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-servicemesh .claude/skills/kubesphere-servicemesh

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

How skills and MCP servers differ →