From capacity-planning-analyzer
Analyzes CPU, memory, storage, network utilization; forecasts growth trends; recommends scaling strategies with cost estimates. Useful for infrastructure capacity planning and bottleneck identification.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin capacity-planning-analyzerThis skill is limited to using the following tools:
Analyze current resource utilization, forecast growth trends, and generate scaling recommendations with cost estimates for CPU, memory, storage, and network capacity.
Forecast infrastructure resource needs (compute, storage, network). Model growth scenarios and utilization targets. Use when planning infrastructure investments or optimizing costs.
Performs capacity planning using Prometheus metrics and predict_linear forecasting. Identifies constraints, calculates headroom, recommends scaling before saturation, spikes, launches, or reviews.
Guides scaling systems from startup (0-10K users) to enterprise (1M+), with stage architectures, metrics, bottlenecks diagnosis, and capacity planning.
Share bugs, ideas, or general feedback.
Analyze current resource utilization, forecast growth trends, and generate scaling recommendations with cost estimates for CPU, memory, storage, and network capacity.
This skill empowers Claude to analyze current resource utilization, predict future capacity needs, and provide actionable recommendations for scaling infrastructure. It generates insights into growth trends, identifies potential bottlenecks, and estimates costs associated with capacity expansion.
This skill activates when you need to:
User request: "Analyze database capacity and plan for future growth."
The skill will:
User request: "Analyze CPU utilization and identify potential bottlenecks."
The skill will:
This skill can be integrated with other monitoring and alerting tools to provide proactive capacity management. It can also be used in conjunction with infrastructure-as-code tools to automate scaling operations.
The skill produces structured output relevant to the task.