debug_vpa — VPA not recommending resources debug_vpa, k8s-vpa-benchmarks, community, VPA not recommending resources, ide skills, debug_vpa install, debug_vpa for Kubernetes, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Kubernetes Agents needing advanced Vertical Pod Autoscaler (VPA) troubleshooting capabilities. debug_vpa is a troubleshooting skill for identifying and resolving issues with Vertical Pod Autoscaler (VPA) in Kubernetes environments.

Features

Checks Metrics Server status using kubectl commands
Verifies VPA components for proper functionality
Uses kubectl top commands to identify metrics issues
Provides step-by-step guidance for VPA troubleshooting
Helps resolve issues with VPA not recommending resources or updating pods

# Core Topics

josephaw1022 josephaw1022
[0]
[0]
Updated: 3/8/2026

Agent Capability Analysis

The debug_vpa skill by josephaw1022 is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for VPA not recommending resources, debug_vpa install, debug_vpa for Kubernetes.

Ideal Agent Persona

Perfect for Kubernetes Agents needing advanced Vertical Pod Autoscaler (VPA) troubleshooting capabilities.

Core Value

Empowers agents to diagnose VPA issues using Metrics Server and kubectl commands, providing step-by-step guidance for troubleshooting VPA problems with Kubernetes deployments and pods.

Capabilities Granted for debug_vpa

Debugging VPA resource recommendation issues
Troubleshooting pods not updating with VPA
Verifying Metrics Server status for VPA

! Prerequisites & Limits

  • Requires kubectl access
  • Kubernetes environment only
  • Metrics Server dependency
Labs Demo

Browser Sandbox Environment

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Boot Container Sandbox

debug_vpa

Install debug_vpa, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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Debugging Vertical Pod Autoscaler (VPA)

Follow these steps to diagnose issues with VPA not recommending resources or not updating pods.

1. Check Metrics Server

VPA relies on the Metrics Server to gather historical usage data. If it's down, VPA won't work.

bash
1kubectl get deployment metrics-server -n kube-system 2kubectl top nodes 3kubectl top pods -A

If kubectl top fails or returns "Metrics not available", the Metrics Server is the issue.

2. Check VPA Components

Ensure the VPA recommender, updater, and admission-controller are running.

bash
1kubectl get pods -n kube-system -l app.kubernetes.io/name=vpa

3. Inspect VPA Object

Check the VPA object for Conditions and Recommendations.

bash
1kubectl get vpa -A 2kubectl describe vpa <vpa-name> -n <namespace>

Look for Provided condition being True. If False, check the message field.

4. Check Recommender Logs

If recommendations are missing, check the recommender logs.

bash
1kubectl logs -n kube-system -l app=vpa-recommender

Look for permission errors or "no metrics" warnings.

5. Check Evictions

If recommendations exist but pods aren't updating, check if the VPA Updater is evicting pods.

bash
1kubectl get events -n <namespace> --sort-by='.lastTimestamp'

Look for EvictedByVPA events.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is debug_vpa?

Perfect for Kubernetes Agents needing advanced Vertical Pod Autoscaler (VPA) troubleshooting capabilities. debug_vpa is a troubleshooting skill for identifying and resolving issues with Vertical Pod Autoscaler (VPA) in Kubernetes environments.

How do I install debug_vpa?

Run the command: npx killer-skills add josephaw1022/k8s-vpa-benchmarks/debug_vpa. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for debug_vpa?

Key use cases include: Debugging VPA resource recommendation issues, Troubleshooting pods not updating with VPA, Verifying Metrics Server status for VPA.

Which IDEs are compatible with debug_vpa?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for debug_vpa?

Requires kubectl access. Kubernetes environment only. Metrics Server dependency.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add josephaw1022/k8s-vpa-benchmarks/debug_vpa. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use debug_vpa immediately in the current project.

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