Plan Capacity
Skill Verified ActivePerform capacity planning using historical metrics and growth models. Use predict_linear for forecasting, identify resource constraints, calculate headroom, and recommend scaling actions before saturation. Use before seasonal traffic spikes or product launches, during quarterly capacity reviews, when resource utilization trends upward, or before budget planning cycles.
Enable proactive resource management by predicting future capacity needs and identifying potential bottlenecks before they impact system performance.
Features
- Forecast resource saturation using linear growth models
- Identify resource constraints and calculate headroom
- Recommend proactive scaling actions
- Integrate with Prometheus for historical metrics
- Generate capacity reports and alert configurations
Use Cases
- Forecasting resource needs before seasonal traffic spikes or product launches
- Conducting quarterly capacity reviews
- Responding to upward trends in resource utilization
- Informing budget planning cycles with future capacity requirements
Non-Goals
- Performing direct infrastructure provisioning or scaling actions
- Optimizing cloud costs beyond capacity planning considerations
- Real-time performance monitoring or incident response
Code Execution
- info:ValidationThe skill relies on the correctness of Prometheus queries and a Python script. While basic validation of inputs is implied (e.g., time range), explicit schema validation for parameters is not present.
Installation
/plugin install agent-almanac@pjt222-agent-almanacQuality Score
VerifiedTrust Signals
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