·aeon

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

21Installs·0Trend·@ovachiever

Installation

$npx skills add https://github.com/ovachiever/droid-tings --skill aeon

SKILL.md

Aeon is a scikit-learn compatible Python toolkit for time series machine learning. It provides state-of-the-art algorithms for classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search.

Categorize time series into predefined classes. See references/classification.md for complete algorithm catalog.

Predict continuous values from time series. See references/regression.md for algorithms.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs. Source: ovachiever/droid-tings.

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/ovachiever/droid-tings --skill aeon
Category
{}Data Analysis
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is aeon?

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs. Source: ovachiever/droid-tings.

How do I install aeon?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ovachiever/droid-tings --skill aeon Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/ovachiever/droid-tings