Summary
This analyzes your Kubernetes resource configurations against actual usage patterns to tell you which containers are overprovisioned (wasting money) or underprovisioned (risking OOMKills). Run it monthly for cost optimization or after production incidents to dial in the right CPU and memory limits. The workflow assumes you're feeding it metrics as text or JSON rather than connecting directly to a live cluster, which keeps it safe for reviewing infrastructure-as-code. Skip this during initial development when you don't have real traffic data yet, and remember it's for right-sizing your baseline config, not real-time autoscaling.
Install to Claude Code
npx -y skills add jorgealves/agent_skills --skill k8s-resource-optimizer --agent claude-codeInstalls into .claude/skills of the current project.
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SKILL.mdView on GitHub
K8s Resource Optimizer
Purpose and Intent
The k8s-resource-optimizer helps teams balance performance and cost. It identifies containers that are either "starving" (causing crashes) or "bloated" (wasting money) by comparing their configuration against actual usage patterns.
When to Use
- Cloud Cost Optimization: Run monthly to identify waste in your clusters.
- Reliability Engineering: Use after a production incident involving OOMKills to find the correct memory threshold.
- Pre-production Scaling: Set realistic requests/limits before a major launch.
When NOT to Use
- Initial Development: Don't over-optimize before you have real traffic patterns.
- Real-time Autoscaling: This tool is for "right-sizing" configuration; use a HPA/VPA for real-time adjustments.
Security and Data-Handling Considerations
- No live cluster interaction required if metrics are passed as text/json.
- Safe to run on infrastructure-as-code files.
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Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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one prompt install →First SeenJun 3, 2026
