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/aks-cost-optimization

Analyze advanced AKS cost efficiency. WHEN: \"AKS NAP readiness\", \"AKS bin packing\", \"AKS node scaling bottleneck\", \"AKS blocked scale-down\", \"AKS storage cost\". DO NOT USE AS DIRECT ENTRY FOR: overall AKS cost assessments or rightsizing/VPA/CAS/Spot (azure-kubernetes);

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github-copilot-for-azure
25956 skills2 MCP
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$ npx -y skills add microsoft/GitHub-Copilot-for-Azure --skill aks-cost-optimization --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/aks-cost-optimization

Context preview

The summary Claude sees to decide when to auto-load this skill.

Analyze advanced AKS cost efficiency. WHEN: \"AKS NAP readiness\", \"AKS bin packing\", \"AKS node scaling bottleneck\", \"AKS blocked scale-down\", \"AKS storage cost\". DO NOT USE AS DIRECT ENTRY FOR: overall AKS cost assessments or rightsizing/VPA/CAS/Spot (azure-kubernetes);

SKILL.md

aks-cost-optimization.SKILL.md
name: aks-cost-optimization
license: MIT
metadata:
  author: Microsoft
  version: "0.0.0-placeholder"
description: "Analyze advanced AKS cost efficiency. WHEN: \"AKS NAP readiness\", \"AKS bin packing\", \"AKS node scaling bottleneck\", \"AKS blocked scale-down\", \"AKS storage cost\". DO NOT USE AS DIRECT ENTRY FOR: overall AKS cost assessments or rightsizing/VPA/CAS/Spot (azure-kubernetes); spend/anomalies/commitments (cost-analysis/cost-optimization); incidents (aks-troubleshooting)."

AKS Cost Optimization

When to Use This Skill

Use for advanced existing-cluster analysis requiring scheduling, placement, or verified storage mapping. Route overall AKS cost assessments to `azure-kubernetes`, spend/anomalies to `cost-analysis`, commitments to `cost-optimization`, and incidents to `aks-troubleshooting` when those skills are available. When called from an overall assessment, return findings for its ranked report.

MCP Tools

Prefer fitting Azure MCP reads. Never invent tools or use `az`/`kubectl` without approved shell access and a target-bound context.

Workflow/Steps

1. Bind the subscription, cluster, resource group, and kube context. 2. Route to [NAP readiness](references/aks-nap.md), [bin-packing](references/aks-bin-packing.md), [node-scaling bottlenecks](references/node-scaling-bottlenecks.md), or [storage optimization](references/aks-storage-optimization.md). 3. When invoked for AKS commitment context, use the [commitment-demand handoff](references/aks-savings-plans-reservations.md) and return demand evidence without benefit analysis or a transaction. 4. Keep reads non-mutating; require approval for every change.

Error Handling

  • Missing capability: analyze supplied evidence or provide a collection plan;

mark dependent cost or commitment results unavailable.

  • Evidence conflict: mark the conclusion unconfirmed.
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