cost-optimizer

Analyze Go backend infrastructure costs and generate optimization plans.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/italosilva18/infra-architect --skill cost-optimizer-italosilva18
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cost-optimizer
Source: https://github.com/italosilva18/infra-architect/tree/main/skills/cost-optimizer
Command: npx skills add https://github.com/italosilva18/infra-architect --skill cost-optimizer-italosilva18

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams reduce infrastructure costs by systematically identifying waste, sizing resources to real demand, and planning scalable cost-aware deployments.

Core Features & Use Cases

  • Rightsizing VPS and Docker resources to match actual workload demand.
  • ROI-focused cost analysis, benchmarking, and budgeting for Go/Docker deployments.
  • Use Case: In a production Go service with fluctuating traffic, identify waste and propose targeted optimizations to lower monthly spend.

Quick Start

Run this guide to assess current usage and generate a prioritized cost-optimization plan.

Frequently Asked Questions about cost-optimizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize VPS costs for a Go backend running on Docker Compose?

To optimize VPS costs for a Go backend, this skill analyzes your Docker Compose resource usage and matches CPU and memory allocations to actual workload demand, generating a prioritized cost-reduction plan.

What is infrastructure rightsizing and how does it lower my hosting budget?

Infrastructure rightsizing lowers your hosting budget by systematically identifying wasted resources and adjusting VPS configurations to match real traffic demand, ensuring you only pay for the compute power you actually need.

Can I calculate ROI for Docker and VPS infrastructure changes?

Yes, you can calculate ROI for Docker and VPS infrastructure changes using built-in benchmarking and cost analysis features that compare current monthly spend against proposed resource scaling recommendations.

Does this approach work for both development and production Go deployments?

Yes, this approach works across development and production environments, applying storage and CDN cost optimization, Docker resource tuning, and budget planning tailored to each environment's specific traffic patterns.

What's the best way to reduce monthly spend for a production Go service with fluctuating traffic?

The best way to reduce monthly spend for a Go service with fluctuating traffic is to collect usage data, identify waste through benchmarking, and apply targeted Docker and VPS scaling recommendations to lower costs.

When should I not use VPS rightsizing for my Docker deployments?

You should avoid VPS rightsizing when your Docker deployments require fixed resource guarantees for sudden traffic spikes without auto-scaling, as prioritizing aggressive cost reduction may impact performance during peak loads.