# aeon

Gives Claude a working map of the aeon Python library for classification, forecasting, clustering and anomaly detection on time series.

- skill · `type=skill` · Claude Code · 52 installs
- Author: davila7
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/scientific/aeon
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/aeon

## What it does

This skill teaches the agent how to run time series machine learning with aeon. It covers classification, regression, clustering, forecasting, anomaly detection, segmentation and similarity search, each with code samples and notes on picking an algorithm. Want speed? `MiniRocketClassifier` or `Arsenal`. Want accuracy? `HIVECOTEV2` and `InceptionTimeClassifier`. Need to explain a decision? `ShapeletTransformClassifier` and `Catch22Classifier`.

There are also sections on feature extraction with `RocketTransformer` and `Catch22`, on temporal distance measures such as DTW, and on deep architectures including `FCNClassifier` and `ResNetClassifier`. Standard benchmark datasets load straight from the package, and `get_estimator_results` pulls published scores for comparison. The API follows scikit-learn, so extracted features drop into any sklearn estimator.

Install the library first with `uv pip install aeon` — the snippets will not run without it. Some algorithms get slow on large collections, and the deep learning networks ask for more compute than the classical ones.

## Install

### Claude Code (native platform)

1. **claude-code-templates**
```bash
npx claude-code-templates@latest --skill scientific/aeon
```

2. **Skills CLI (Vercel)**
```bash
npx skills add davila7/claude-code-templates --skill aeon -a claude-code
```

3. **Manually: put the files in place**
- File: `~/.claude/skills/aeon/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/aeon/

### Codex

**Manually: put the files in place**
- File: `.agents/skills/aeon/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

**Manually: put the files in place**
- File: `.cursor/skills/aeon/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install davila7/claude-code-templates aeon
```

2. **Manually: put the files in place**
- File: `.github/skills/aeon/SKILL.md`

### Gemini CLI

**Platform CLI**
```bash
gemini skills install https://github.com/davila7/claude-code-templates --path cli-tool/components/skills/scientific/aeon
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/aeon/SKILL.md` — The legacy .windsurf/skills/ path still works

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/scientific/aeon

## When to use it
- label time series into classes and score several classifiers
- forecast the next values of a series with ARIMA
- group unlabeled series by shape
- flag anomalies and change points in sensor data
- turn a series into features for a sklearn model

## Example prompts
- Pick a time series classifier for the GunPoint dataset and report test accuracy
- Find recurring motifs in `sensor.csv` with StompMotif
- Compare DTW against Euclidean distance on my series

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From the same set: [davila7/claude-code-templates](https://affpapa.org/en/nevibecode/by/davila7/claude-code-templates.md) — 495 cards

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md