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 aeonRun 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
| Date | Repo stars |
|---|---|
| 1 Oct 2026 | 47,271 |
| 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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