Individual skill
forecasting-time-series-data
Process this skill enables AI assistant to forecast future values based on historical time series data. it analyzes time-dependent data to identify trends, seasonality, and other patterns. use this skill when the user asks to predict future values of a time ser... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
plugins/ai-ml/time-series-forecaster/skills/forecasting-time-series-data/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 2,915
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- ai Declared skill tag
- forecasting-time Declared skill tag
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 3,752 bytesassets/README.mddoc · 358 bytesassets/configuration_template.jsonasset · 6,049 bytesassets/example_data.csvasset · 907 bytesassets/visualization_template.pyruns · 9,744 bytesreferences/README.mddoc · 65 bytesscripts/README.mddoc · 470 bytes
Read excerpt
# Time Series Forecaster
Forecast future values from historical time series data using ARIMA, Prophet, and other models with trend, seasonality, and confidence interval analysis.
## Overview
This skill empowers Claude to perform time series forecasting, providing insights into future trends and patterns. It automates the process of data analysis, model selection, and prediction generation, delivering valuable information for decision-making.
## How It Works
1. **Data Analysis**: Claude analyzes the provided time series data, identifying key characteristics such as trends, seasonality, and autocorrelation.
2. **Model Selection**: Based on the data characteristics, Claude selects an appropriate forecasting model (e.g., ARIMA, Prophet).
3. **Prediction Generation**: The selected model is trained on the historical data, and future values are predicted along with confidence intervals.
## When to Use This Skill