Skill

deploy

Deploy an app to multiple clusters with smart placement

Install

npx claudepluginhub kubestellar/claude-plugins --plugin kubestellar-deploy

Tool Access

This skill is limited to using the following tools:

mcp__plugin_kubestellar-deploy_kubestellar-deploy__*

Preview

Deploy a workload to clusters. You can specify target clusters explicitly or let kubestellar-deploy find matching clusters based on requirements.

SKILL.md

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Stats

Parent Repo Stars1

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Last CommitFeb 11, 2026

Actions

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Your task

Deploy a workload to clusters. You can specify target clusters explicitly or let kubestellar-deploy find matching clusters based on requirements.

Get the manifest from the user or help them create one
Ask about target clusters or placement requirements (GPU, memory, CPU)
Use deploy_app to deploy the manifest

Parameters

manifest: The Kubernetes YAML manifest
clusters: Optional list of target clusters
gpu_type: Optional GPU type requirement (e.g., "nvidia.com/gpu")
min_gpu: Optional minimum GPU count
dry_run: Set to true to preview without applying

Smart Placement

If the user doesn't specify clusters, kubestellar-deploy can:

Deploy to all clusters
Filter to clusters with specific GPU types
Filter to clusters with minimum CPU/memory
Filter to clusters with specific node labels

Use find_clusters_for_workload and list_cluster_capabilities to help with placement decisions.

Examples

"Deploy this nginx deployment to all clusters"
"Deploy my ML model to clusters with GPUs"
"Deploy this app to clusters with at least 16Gi memory"
"Do a dry run of deploying this manifest"

Do not use any other tools besides the kubestellar-deploy MCP tools.