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tollama-forecast

Official

Forecast time series with local AI models.

Data & Analytics#data science#time series#forecasting#ai models#local execution#tollama
Authortollama
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill simplifies time-series forecasting by allowing you to run various AI models locally through a unified interface, eliminating the need for complex per-model setups and dependencies.

Core Features & Use Cases

  • Unified Forecasting: Run forecasts using different Time Series Foundation Models (TSFMs) and baselines through a single API.
  • Local Execution: Leverage powerful forecasting models directly on your machine without cloud dependencies.
  • Use Case: You need to predict sales for the next 30 days based on historical data. Use this Skill to quickly get forecasts from models like 'chronos2' or 'timesfm' without installing them individually.

Quick Start

Use the tollama-forecast skill to run a forecast using the 'mock' model with the input data from './examples/simple_forecast.json'.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: tollama-forecast
Download link: https://github.com/tollama/tollama/archive/main.zip#tollama-forecast

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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