castai-cost-tuning
Maximize Kubernetes cost savings with CAST AI spot strategies and right-sizing. Use when analyzing cloud spend, optimizing spot-to-on-demand ratios, or configuring CAST AI for maximum savings. Trigger with phrases like "cast ai cost", "cast ai savings", "cast ai spot strategy", "reduce kubernetes cost", "cast ai budget". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill castai-cost-tuning --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 Cost Tuning ## Overview Maximize Kubernetes cost savings through CAST AI: spot instance strategies, workload right-sizing, cluster hibernation, and savings tracking. Typical savings: 50-70% on cloud compute costs. ## Prerequisites - CAST AI Phase 2 enabled with full automation - Savings report available (requires 24h+ of data) - Understanding of workload criticality tiers ## Instructions
What does the castai-cost-tuning skill do?
Maximize Kubernetes cost savings with CAST AI spot strategies and right-sizing. Use when analyzing cloud spend, optimizing spot-to-on-demand ratios, or configuring CAST AI for maximum savings. Trigger with phrases like "cast ai cost", "cast ai savings", "cast ai spot strategy", "reduce kubernetes cost", "cast ai budget". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill castai-cost-tuning --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.