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resource-cost-optimization

Right-sizes compute, storage, and network resources to reduce cloud infrastructure costs.

1|1|Updated May 16, 2026
Search Tags:#aws#migration#auto-scaling#cost optimization#cloud infrastructure#right-sizing#resource utilization
One-click install
npx skills add https://github.com/vanduc2514/hackathon-lablab-ibm-bob --skill resource-cost-optimization-vanduc2514
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: resource-cost-optimization
Source: https://github.com/vanduc2514/hackathon-lablab-ibm-bob/tree/main/.bob/skills/resource-cost-optimization
Command: npx skills add https://github.com/vanduc2514/hackathon-lablab-ibm-bob --skill resource-cost-optimization-vanduc2514

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Migrated systems often run on over-provisioned infrastructure, wasting budget on idle compute, oversized databases, and inefficient storage. This Skill analyzes resource utilization and produces a concrete optimization plan that cuts costs without violating performance SLAs. ## Core Features & Use Cases - Utilization Analysis: Compares actual CPU, memory, connection, and storage usage against allocated capacity to identify waste. - Right-Sizing Recommendations: Generates specific instance and storage adjustments with projected monthly and annual savings. - Auto-Scaling Configuration: Defines scaling policies (min/max instances, thresholds, schedules) to match demand patterns. - Use Case: After migrating an application to AWS, feed in your performance analysis and cost reports to receive an optimization_resource_tuning.md document showing, for example, how downsizing three m5.xlarge instances and a db.r5.2xlarge database saves 48% of monthly spend. ## Quick Start Analyze my current infrastructure utilization and cost reports, then produce a resource tuning document with right-sizing recommendations and projected savings.

Frequently Asked Questions about resource-cost-optimization

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

FAQPage Schema
How do I reduce cloud infrastructure costs after migration?▼

Analyze resource utilization over at least 7 days, identify over-provisioned compute, database, and storage resources, then right-size them incrementally. This Skill generates a tuning document with specific adjustments, auto-scaling policies, and projected savings per category.

How to right-size EC2 or VM instances based on utilization?▼

Compare average and peak CPU and memory usage against allocated capacity. If averages stay low with headroom at peak, downsize to a smaller instance type, then validate with load testing and keep 20-30% buffer for traffic spikes.

What inputs are required for resource cost optimization?▼

The Skill requires an optimization_performance_analysis.md file with utilization patterns, current infrastructure configuration and pricing, cost reports by resource type, and the performance SLAs that must be maintained after optimization.

Does cost optimization work on AWS, Azure, and GCP?▼

Yes, the Skill covers platform-specific mechanisms including AWS Reserved Instances and Spot Instances, Azure Hybrid Benefit and Spot VMs, and GCP Committed Use Discounts and Preemptible VMs, plus Kubernetes autoscalers.

When should I not downsize infrastructure resources?▼

Avoid downsizing when utilization data covers too short a period, when peak usage approaches capacity, or when SLA compliance would be at risk. Always maintain 20-30% headroom and implement changes gradually with monitoring.

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