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aeon

Agent skill fromK-Dense-AI/scientific-agent-skills

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.

How to install aeon

install aeon
# install the scientific-agent-skills pack with the skills CLI
npx skills add K-Dense-AI/scientific-agent-skills

# or add only this skill to Claude Code: copy the folder

skills/aeon/

# into

~/.claude/skills/aeon/ (all projects)

.claude/skills/aeon/ (one project)

skills/aeon/SKILL.md

MITFull file
1# Aeon Time Series Machine Learning
2
3## Overview
4
5Aeon is a scikit-learn compatible Python toolkit for time series machine learning ([aeon-toolkit.org](https://www.aeon-toolkit.org/)). It provides algorithms across classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search, distances, transformations, benchmarking, and visualization — with a consistent estimator API.
6
7**Version note:** Reviewed against **aeon 1.6.0** (Python 3.13). Small synthetic checks cover classification, regression, clustering, forecasts, preprocessing, distances, search, segmentation, matrix profiles, metrics, and local dataset I/O. Remote archive and TensorFlow training snippets are illustrative; they were not executed during this review. Reference catalogs are selected methods, not exhaustive lists. See the [1.6 release notes](https://www.aeon-toolkit.org/en/stable/changelogs/v1.6.html).
8
9## When to Use This Skill
10
11Apply this skill when:
12- Classifying or predicting from time series data
13- Detecting anomalies or change points in temporal sequences
14- Clustering similar time series patterns
15- Forecasting future values
16- Finding repeated patterns (motifs) or unusual subsequences (discords)
17- Comparing time series with specialized distance metrics
18- Extracting features from temporal data
19
20## Installation
21
22Requires **Python 3.11-3.14**. Pin the reviewed release for reproducibility:
23
24```bash
25uv pip install "aeon==1.6.0"
26```
27…

Excerpt shown under the repository's MIT license.

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