When should I trigger this capacity planning workflow?

The skill should be triggered during quarterly reviews, before major product launches, when investigating performance degradation, or during annual budget planning.

Does this skill support specific cloud providers like AWS?

Yes, it includes standardized templates and CLI command examples for major providers like AWS to facilitate data collection and metric analysis.

Can this skill help with cloud cost reduction?

While it includes cost summaries and efficiency analysis, it is primary focused on performance and availability. For cost-only analysis, the 'ops-cost-optimization' skill is recommended.

What is the primary purpose of the Ops Capacity Planning skill?

It provides a structured workflow to forecast infrastructure growth, analyze resource utilization, and plan scaling strategies to prevent outages and optimize costs.

Infrastructure Capacity Planning

Name: Infrastructure Capacity Planning
Author: LerianStudio

byLerianStudio

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クラウドインフラストラクチャ

Automates infrastructure capacity management through structured growth forecasting, resource utilization analysis, and proactive scaling strategies.

概要

The Infrastructure Capacity Planning skill provides a rigorous, six-phase framework for managing cloud resource growth and performance stability. By guiding Claude through current state assessment, usage analysis, and growth forecasting, it enables engineering teams to identify critical capacity gaps before they impact users. This skill is ideal for quarterly infrastructure reviews, pre-launch readiness assessments, and resolving systematic performance degradation by translating raw metrics into actionable scaling recommendations and implementation plans.

主な機能

Structured data collection templates for compute, database, and storage resources
Advanced growth forecasting utilizing linear, seasonal, and business-driven models
Integration with specialized sub-agents for architecture and cost optimization
Comprehensive six-phase workflow from baseline assessment to implementation
48 GitHub stars
Automated gap analysis with severity matrix for resource prioritization

ユースケース

Conducting quarterly infrastructure reviews to ensure resource alignment with budget and demand
Performing pre-launch capacity assessments to prepare for high-traffic events
Investigating systematic performance degradation to identify resource exhaustion patterns

概要

主な機能

Structured data collection templates for compute, database, and storage resources
Advanced growth forecasting utilizing linear, seasonal, and business-driven models
Integration with specialized sub-agents for architecture and cost optimization
Comprehensive six-phase workflow from baseline assessment to implementation
48 GitHub stars
Automated gap analysis with severity matrix for resource prioritization

ユースケース

Conducting quarterly infrastructure reviews to ensure resource alignment with budget and demand
Performing pre-launch capacity assessments to prepare for high-traffic events
Investigating systematic performance degradation to identify resource exhaustion patterns