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KubeSphere Volcano

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Batch job lifecycle management and queue configuration for KubeSphere Volcano clusters.

What it does

Adding this skill enables your assistant to act as an administrator for Volcano jobs within KubeSphere. It provides the necessary logic to generate structural templates for training workloads like PyTorch or MPI, and helps navigate the specific API requirements for interacting with these resources.

Beyond drafting configuration files, the assistant gains the capability to query and manage job queues or diagnostic information. It bridges the gap between high-level scheduling requests and the underlying API calls or kubectl syntax needed to execute them in a KubeSphere-integrated environment.

When it earns its place

Reach for it when…

This skill is suited for DevOps or engineering teams who need to deploy batch processing tasks, manage resource allocation queues, or investigate why specific Volcano jobs remain stuck in a pending state within a KubeSphere cluster.

Look elsewhere when…

Do not use this for managing standard Kubernetes CronJobs or generic deployments that do not rely on Volcano scheduling. It is also not intended for deep modifications to the core scheduler installation or advanced orchestration flows like JobFlow that sit outside standard job management.

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.

  • Draft a YAML template for a new PyTorch training job
  • List all active queues in my cluster
  • How can I troubleshoot this pending Volcano job
  • Remove the current training job from the namespace

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-volcano ~/.claude/skills/kubesphere-volcano

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-volcano .claude/skills/kubesphere-volcano

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

How skills and MCP servers differ →