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aeon Time Series Machine Learning

Teaches Claude to use the aeon 1.x toolkit correctly for time series classification, regression, clustering, forecasting and anomaly detection.

Data & AnalyticsIntermediate★ 46,134⑂ 4,181AI score 9/10Last updated: Sep 21, 2026

What it does

  • Gives Claude the correct aeon 1.x import paths and estimator APIs for scikit-learn-compatible time series work.
  • Provides quick-start code for 7+ task families: classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search — plus distance metrics and feature extraction (ROCKET, Catch22, TSFresh).
  • Includes algorithm-selection guidance by goal (fastest, most accurate, interpretable, small data) and practical rules: z-normalization, imputation, and the (n_cases, n_channels, n_timepoints) data layout.
  • Flags forecasting, anomaly detection, segmentation and similarity search as upstream-experimental so you can judge production readiness.
  • Ships 11 detailed reference docs under references/.

Who it's for

  • Data scientists and ML engineers handling sensor, financial, clinical or IoT log data.
  • Anyone migrating sktime/aeon 0.x code to 1.x and tired of broken imports.
  • Researchers who need a fast time series baseline plus comparison against published benchmarks.

Example uses

  1. "Build a RocketClassifier baseline on GunPoint and report accuracy" → full pipeline from data loading to score().
  2. "Find anomalous windows in this sensor series and plot them" → STOMP scores plotted with a 95th-percentile threshold line.
  3. "Group 300 machine curves by similar shape" → TimeSeriesKMeans with DTW distance and cluster centers.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/HEAD/skills/aeon/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

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 && mkdir -p ~/.claude/skills && cp -r scientific-agent-skills/skills/aeon ~/.claude/skills/

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

  1. Open a terminal and go to a working directory.
  2. Clone the repo: git clone https://github.com/K-Dense-AI/scientific-agent-skills.git
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy just this skill: cp -r scientific-agent-skills/skills/aeon ~/.claude/skills/
  5. On Python 3.10+, 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 "classify this time series dataset" — the skill triggers automatically.
View source on GitHub ↗License: MIT