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infra-intelligence

Automate AWS cost monitoring, capacity forecasting, and optimization recommendations.

6|1|Updated Apr 7, 2026
Search Tags:#aws#optimization#infrastructure#budgeting#cost-monitoring#capacity-forecasting
One-click install
npx skills add https://github.com/kmshihab7878/claude-code-setup --skill infra-intelligence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: infra-intelligence
Source: https://github.com/kmshihab7878/claude-code-setup/tree/main/skills/infra-intelligence
Command: npx skills add https://github.com/kmshihab7878/claude-code-setup --skill infra-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automated cloud cost monitoring, capacity forecasting, and optimization recommendations for Infrastructure teams.

The skill helps teams track cloud spend, identify waste, and plan capacity across AWS environments with a governance-aware workflow.

Core Features & Use Cases

  • Cost data collection across AWS services (cost centers, utilization, budgets)
  • Anomaly detection for unusual spend and under/over-utilization
  • Capacity forecasting to anticipate scaling needs
  • Optimization reporting with actionable recommendations and right-sizing guidance
  • Pre-change impact assessment to model cost implications of infra changes

Quick Start

Analyze the AWS bill for the last 90 days and generate a cost-optimization plan.

Frequently Asked Questions about infra-intelligence

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

FAQPage Schema
How do I automate AWS cost monitoring and capacity forecasting?▼

Automate AWS cost monitoring by collecting utilization data, detecting spend anomalies, and forecasting capacity needs. This generates governance-aware reports with right-sizing guidance for monthly reviews and pre-change impact assessments.

What is the best way to generate a cost-optimization plan for AWS infrastructure?▼

Generate a cost-optimization plan by analyzing 90 days of AWS billing data to identify waste, right-size resources, and forecast scaling needs. This yields actionable recommendations for reducing cloud spend.

Can I model the cost implications of infrastructure changes before deploying?▼

Model cost implications of infrastructure changes through pre-change impact assessments. This evaluates AWS resource adjustments against current utilization and budgets to project financial outcomes before deployment.

How does anomaly detection work for AWS cloud spend?▼

Anomaly detection for AWS cloud spend identifies unusual billing patterns and under or over-utilization by continuously analyzing collected cost data against established baselines and budgets.

Does this approach support capacity planning across multiple AWS services?▼

Capacity planning across multiple AWS services is supported by analyzing historical utilization and cost center data. This anticipates scaling needs and provides right-sizing guidance for infrastructure teams.

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