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aeon Time Series ML

Guides Claude through classification, regression, clustering, forecasting, and anomaly detection on time series using the aeon toolkit.

Data & AnalyticsIntermediate★ 33,030⑂ 3,248AI score 8/10Last updated: Aug 9, 2026

What it does

Turns Claude into a competent user of aeon, the scikit-learn compatible Python toolkit for time series machine learning:

  • Classification & regression: ROCKET, MiniRocket, HIVECOTEV2, InceptionTime with a selection guide by speed/accuracy/interpretability
  • Clustering: TimeSeriesKMeans with DTW and barycentre averaging
  • Forecasting: Naive, ARIMA, AutoARIMA using the correct aeon 1.x signatures
  • Anomaly detection, segmentation, motif search: STOMP, ClaSP, StompMotif
  • Transformations & distances: ROCKET features, Catch22, TSFresh, DTW/MSM/TWE/LCSS
  • Practical guidance on z-normalisation, imputation, and the (n_cases, n_channels, n_timepoints) data format

Who it's for

  • Data scientists working with sensor, IoT, financial, or biomedical signals
  • Teams migrating from sktime / aeon 0.x to the reworked aeon 1.x API
  • Anyone unsure which time series algorithm to try first

Examples

  1. "Classify these accelerometer traces as normal vs faulty" → builds a Normalizer + RocketClassifier pipeline and reports test accuracy.
  2. "Flag anomalies in this server metric" → runs STOMP, thresholds at the 95th percentile, and plots the score curve.
  3. "Forecast the next 5 periods" → fits ARIMA(p, d, q) and uses iterative_forecast for multi-step predictions.

· · · Install guide · · ·

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/aeon folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/aeon/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/K-Dense-AI/scientific-agent-skills.git /tmp/scientific-agent-skills && mkdir -p ~/.claude/skills && cp -r /tmp/scientific-agent-skills/skills/aeon ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Clone the repository: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  3. Copy the skill into place: mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/aeon ~/.claude/skills/
  4. Verify Python 3.10 or newer: python --version
  5. Install the library: uv pip install "aeon>=1.4,<2" (add deep learning support with uv pip install "aeon[all_extras]>=1.4,<2")
  6. Restart Claude Code and ask something like "help me classify this time series dataset" — the skill triggers automatically.
View source on GitHub ↗License: MIT