Individual skill
castai-core-workflow-a
Connect a Kubernetes cluster to CAST AI in observation-first mode and establish a trustworthy cost baseline before automation. Use when onboarding a new EKS, GKE, AKS, or CAST AI Anywhere cluster. Trigger with: "connect a cluster to CAST AI", "start CAST AI cost monitoring", "onboard CAST AI safely".
skills/.curated/castai-core-workflow-a/SKILL.md
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- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- kubernetes Declared skill tag
- cast-ai Declared skill tag
- onboarding Declared skill tag
- cost-monitoring Declared skill tag
- devops Derived category
- devops-containers Derived category
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SKILL.mdcore · 4,798 bytesSKILL.mdcore · 4,798 bytesSKILL.mdcore · 4,798 bytesreferences/official-docs.mddoc · 920 bytes
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# CAST AI Observation-First Onboarding
## Overview
Connect one approved cluster with the recommended castctl path, keep optimization automation off initially, and prove identity, telemetry, ownership, and rollback before expanding control.
## Prerequisites
- A named kube context for EKS, GKE, AKS, or a supported CAST AI Anywhere environment
- Cluster-admin access for installation and reviewed least-privilege cloud permissions
- metrics-server when Workload Autoscaling will be evaluated
- An owner, maintenance window, rollback decision, and evidence location
## Instructions