castai-reference-architecture
CAST AI reference architecture for multi-cluster Kubernetes cost optimization. Use when designing CAST AI deployment across environments, planning Terraform module structure, or establishing team standards. Trigger with phrases like "cast ai architecture", "cast ai best practices", "cast ai multi-cluster", "cast ai terraform structure". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill castai-reference-architecture --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 Reference Architecture ## Overview Production-grade architecture for managing CAST AI across multiple Kubernetes clusters. Covers Terraform module layout, per-environment policies, API key management, and observability integration. ## Prerequisites - Multiple Kubernetes clusters (dev, staging, production) - Terraform for infrastructure management - Centralized secrets management - Monito
What does the castai-reference-architecture skill do?
CAST AI reference architecture for multi-cluster Kubernetes cost optimization. Use when designing CAST AI deployment across environments, planning Terraform module structure, or establishing team standards. Trigger with phrases like "cast ai architecture", "cast ai best practices", "cast ai multi-cluster", "cast ai terraform structure". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill castai-reference-architecture --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.
