Agent_skills k8s-resource-optimizer

Analyzes Kubernetes resource usage metrics and historical data to suggest optimal CPU and Memory requests and limits. Use to reduce cloud costs, prevent OOMKills, and improve overall cluster reliability by right-sizing your deployments.

install

source · Clone the upstream repo

git clone https://github.com/jorgealves/agent_skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/jorgealves/agent_skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/k8s-resource-optimizer" ~/.claude/skills/jorgealves-agent-skills-k8s-resource-optimizer-d80ed2 && rm -rf "$T"

manifest: k8s-resource-optimizer/SKILL.md

source content

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.