By tonone-ai
Build, audit, and validate time series forecasting models (demand, revenue, usage) with automated model recommendations, feature engineering, confidence intervals, walk-forward cross-validation, and baseline comparisons using Prophet, ARIMA, statsmodels, and LightGBM.
Build a forecasting model for a time series — demand, revenue, or usage prediction.
Survey existing forecasting code or models in a codebase — find gaps, stale models, and missing validation.
Validate and benchmark a forecasting model — walk-forward CV, error metrics, baseline comparison.
Uses power tools
Uses Bash, Write, or Edit tools
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub tonone-ai/tonone --plugin castBuild a forecasting model for a time series
Time series forecasting and analysis
Data engineering and time series analysis mastery. Expert in jq, SQL, pandas, time series forecasting, ETL pipelines, streaming, and analytics visualization.
Editorial "Business Analyst" bundle for Claude Code from Antigravity Awesome Skills.
Design a fine-tuning pipeline
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Write UX copy for a feature, flow, or component
Audit existing model evaluation code
Identify open legal questions and research gaps
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