What types of forecasting models does this skill use?

The skill automatically selects the most appropriate model based on your data's characteristics, typically utilizing industry standards like ARIMA for stationary data or Prophet for data with strong seasonal components.

Does the forecast include a margin of error?

Yes, the skill generates predictions along with confidence intervals to help you understand the statistical certainty of the forecasted values.

Can I use this for financial and stock market analysis?

Yes, it is specifically designed to analyze temporal data such as stock prices, revenue, and market trends to identify potential future movements.

What kind of data format is required for the forecaster?

It works best with clean, sequential historical data. You can provide data in common formats like CSV, JSON, or structured lists containing timestamps and corresponding values.

Time Series Forecaster

Name: Time Series Forecaster
Author: BbgnsurfTech

byBbgnsurfTech

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데이터 과학 및 ML

Analyzes historical time-series data to predict future values and identify temporal patterns like seasonality and trends.

The Time Series Forecaster skill empowers Claude to perform advanced temporal data analysis and predictive modeling within your development environment. By evaluating historical datasets, it automatically identifies underlying patterns such as trends, seasonality, and autocorrelation to select the most effective forecasting models, including ARIMA and Prophet. This skill is essential for developers and data analysts who need to generate data-driven predictions for sales, web traffic, or financial metrics, providing both future estimates and confidence intervals to support informed decision-making.

주요 기능

01Future value prediction with confidence intervals

02Support for various temporal data frequencies (daily, monthly, quarterly)

03Trend, seasonality, and autocorrelation identification

04Automated model selection including ARIMA and Prophet

053 GitHub stars

06Historical data pattern analysis and visualization guidance

사용 사례

01Forecasting quarterly sales targets based on multi-year historical data

02Predicting monthly website traffic peaks for infrastructure and capacity planning

03Analyzing long-term stock price trends and market volatility patterns

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add bbgnsurftech/claude-skills-collection time-series-forecaster

For use in Claude.ai and ChatGPT

Download Skill