Autoscaling configuration

Skill ulpi-io/plugin-marketplace/plugins/aj-geddes/skills/autoscaling-configuration

A curated collection of 7,800+ agent skills for Claude Desktop, sourced from skills.sh

Install

npx -y skills add ulpi-io/plugin-marketplace --skill autoscaling-configuration

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Configure autoscaling for Kubernetes, VMs, and serverless workloads based on metrics, schedules, and custom indicators.

SKILL.md

2.4 KB, 521 tokens by cl100k_base, as published. Nobody here has run it

Overview

Implement autoscaling strategies to automatically adjust resource capacity based on demand, ensuring cost efficiency while maintaining performance and availability.

When to Use

Traffic-driven workload scaling
Time-based scheduled scaling
Resource utilization optimization
Cost reduction
High-traffic event handling
Batch processing optimization
Database connection pooling

Quick Start

Minimal working example:

# hpa-configuration.yaml
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: myapp-hpa
  namespace: production
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: myapp
  minReplicas: 2
  maxReplicas: 20
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 70
    - type: Resource
      resource:
        name: memory
        target:
          type: Utilization
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide	Contents
Kubernetes Horizontal Pod Autoscaler	Kubernetes Horizontal Pod Autoscaler
AWS Auto Scaling	AWS Auto Scaling
Custom Metrics Autoscaling	Custom Metrics Autoscaling
Autoscaling Script	Autoscaling Script
Monitoring Autoscaling	Monitoring Autoscaling

Best Practices

✅ DO

Set appropriate min/max replicas
Monitor metric aggregation window
Implement cooldown periods
Use multiple metrics
Test scaling behavior
Monitor scaling events
Plan for peak loads
Implement fallback strategies

❌ DON'T

Set min replicas to 1
Scale too aggressively
Ignore cooldown periods
Use single metric only
Forget to test scaling
Scale below resource needs
Neglect monitoring
Deploy without capacity tests

What ships with it: 7 files

9.6 KB alongside SKILL.md, 1 of them executable