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aeonby K-DenseDataGitHub stars: 47.3k

Aeon skill: what it does and how to install it

Applies Aeon, a scikit-learn compatible Python toolkit, to classify, forecast, cluster and analyse temporal data.

Summary generated from the skill's documentation.

Install

$ npx skills add K-Dense-AI/scientific-agent-skills --skill aeon

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Builds time series machine learning workflows with Aeon for classification, regression, clustering, forecasting, anomaly detection, segmentation and similarity search. It also covers preprocessing, feature extraction, temporal distances, deep learning models, dataset loading and benchmarking.

When to use it. For univariate or multivariate time-indexed data requiring specialised temporal algorithms and scikit-learn compatible APIs. Forecasting, anomaly detection, segmentation, similarity search and visualisation are experimental in Aeon 1.x, so interfaces may change between minor releases.

History

Repo stars

47.3kAbout +18.6k since 9 Jul 2026

Before 1 Oct 2026 the curve is estimated from public event data.

Stars are counted for the whole repository, which holds 50 skills.

Show as a table
Repo stars by day
DateRepo stars
1 Oct 202647,271
24 Sept 2026 (estimated)46,976
17 Sept 2026 (estimated)46,257
10 Sept 2026 (estimated)41,836
3 Sept 2026 (estimated)30,545
27 Aug 2026 (estimated)29,347
20 Aug 2026 (estimated)29,160
13 Aug 2026 (estimated)29,027
6 Aug 2026 (estimated)28,947
30 Jul 2026 (estimated)28,894
23 Jul 2026 (estimated)28,894
16 Jul 2026 (estimated)28,841
9 Jul 2026 (estimated)28,708

Installs

1.8k

Tracking since . A chart appears once there are 7 days of data.

Installs via skills.sh

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