How do I trigger the forecasting capability in Claude?

You can trigger the skill by using terms like 'forecast', 'predict', 'time series analysis', or by asking Claude to analyze temporal data patterns.

Does it provide confidence levels for its predictions?

Yes, the skill generates future values along with confidence intervals to help you understand the statistical reliability of the forecast.

Which forecasting models does this skill support?

The skill intelligently selects the best model based on data characteristics, supporting ARIMA, Prophet, and Nixtla's TimeGPT for high-performance predictions.

Can I use this skill to build forecasting APIs?

Yes, this skill can generate FastAPI services and deployment-ready pipelines from natural language descriptions.

What kind of data is required for accurate forecasting?

The skill works best with clean, sequential historical data. It identifies patterns like seasonality and trends to provide accurate future estimates.

Time Series Forecasting

Name: Time Series Forecasting
Author: intent-solutions-io

byintent-solutions-io

データサイエンスとML

Forecasts future values and identifies temporal patterns in historical data using advanced statistical models and TimeGPT pipelines.

概要

This skill empowers Claude to perform end-to-end time series analysis by identifying seasonality, trends, and autocorrelation within historical datasets. It automates the complex process of data preparation, model selection (such as ARIMA or Prophet), and prediction generation, allowing developers to generate sophisticated forecasting pipelines and FastAPI services from natural language. Whether predicting sales, website traffic, or financial trends, this skill provides actionable insights with associated confidence intervals to support data-driven decision-making.

主な機能

Intelligent model selection including ARIMA, Prophet, and TimeGPT
0 GitHub stars
Automated trend and seasonality detection in historical data
Natural language generation of time series pipelines and FastAPI services
Predictive analysis with confidence interval generation
Historical data benchmarking and performance evaluation

ユースケース

Predicting quarterly sales and revenue growth based on historical trends
Forecasting server load and website traffic to optimize infrastructure
Analyzing financial market volatility and future price movements

概要

主な機能

Intelligent model selection including ARIMA, Prophet, and TimeGPT
0 GitHub stars
Automated trend and seasonality detection in historical data
Natural language generation of time series pipelines and FastAPI services
Predictive analysis with confidence interval generation
Historical data benchmarking and performance evaluation

ユースケース

Predicting quarterly sales and revenue growth based on historical trends
Forecasting server load and website traffic to optimize infrastructure
Analyzing financial market volatility and future price movements