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.
npx skills add LeonChaoX/qinyan-academic-skills --skill aeon --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Aeon Time Series Machine Learning ## Overview 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. ## When to Use This Skill Apply this skill when: - Classifying or predicting from time series data - Detecting anomalies or change points in temporal sequences - Clustering similar time series patterns - Forecasting future values - Finding repeated patterns (motifs) or unusual subsequences (discords) - Comparing time series with specialized distance metrics - Extracting features from temporal data ## Installation ```bash uv pip install aeon ``` ## Core Capabilities ### 1. Time Series Classification Categorize time series into predefined classes. See `references/classification.md` for complete algorithm catalog. **Quick Start:** ```python from aeon.classification.convolution_based import RocketClassifier from aeon.datasets import load_classification # Load data X_train, y_train = load_classification("GunPoint", split="train") X_test, y_test = load_classification("GunPoint", split="test") # Train classifi
- Overview
- When to Use This Skill
- Installation
- Core Capabilities
- 1. Time Series Classification
- 2. Time Series Regression
- 3. Time Series Clustering
- 4. Forecasting
- 5. Anomaly Detection
- 6. Segmentation
- 7. Similarity Search
- Feature Extraction and Transformations
- Distance Metrics
- Deep Learning Networks
uv pip install aeon
What does the aeon skill do?
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 do I install it?
Run `npx skills add LeonChaoX/qinyan-academic-skills --skill aeon --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.