castai-deploy-integration
Deploy CAST AI across multi-cloud Kubernetes clusters with Terraform modules. Use when onboarding EKS, GKE, or AKS clusters to CAST AI using infrastructure-as-code patterns. Trigger with phrases like "deploy cast ai", "cast ai eks", "cast ai gke", "cast ai aks", "cast ai terraform module". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill castai-deploy-integration --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# CAST AI Deploy Integration ## Overview Deploy CAST AI to EKS, GKE, and AKS clusters using official Terraform modules. Each cloud provider has a dedicated CAST AI module that handles IAM roles, node configuration, and autoscaler setup. ## Prerequisites - Terraform 1.0+ - CAST AI Full Access API key - Cloud provider credentials configured - Existing Kubernetes cluster ## Instructions ### EKS Deplo
What does the castai-deploy-integration skill do?
Deploy CAST AI across multi-cloud Kubernetes clusters with Terraform modules. Use when onboarding EKS, GKE, or AKS clusters to CAST AI using infrastructure-as-code patterns. Trigger with phrases like "deploy cast ai", "cast ai eks", "cast ai gke", "cast ai aks", "cast ai terraform module". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill castai-deploy-integration --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
