{"skill":{"slug":"jpeng-predictive-scaler","displayName":"predictive-scaler","summary":"Analyze resource usage patterns and predict future scaling needs using trend analysis and forecasting methods for capacity planning and auto-scaling decisions.","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":137,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1774443757387,"updatedAt":1774450611461},"latestVersion":{"version":"1.0.0","createdAt":1774443757387,"changelog":"Initial release of predictive-scaler.\n\n- Provides resource usage trend analysis and forecasting for capacity planning and auto-scaling.\n- Supports predictions for single and multiple resources, including CPU, memory, and request load.\n- Includes methods for linear regression, exponential smoothing, and combined forecasting.\n- Offers utilities for trend and bursty pattern detection, capacity calculation, and historical scaling analysis.\n- Output delivers predictions with confidence scores, trends, bursty analysis, scaling recommendations, and usage statistics.\n- Includes usage examples and best practices for reliable scaling decisions.","license":"MIT-0"},"metadata":null,"owner":{"handle":"jpengcheng523-netizen","userId":"s177n9nwg73ep3g6fp9z19025n83h4xr","displayName":"jpengcheng523-netizen","image":"https://avatars.githubusercontent.com/u/226868999?v=4"},"moderation":null}