Aeon

Aeon is a Data skill for Claude Code, published by K-Dense-AI in scientific-agent-skills.

33.5K stars3.3K forkson K-Dense-AI/scientific-agent-skillsAdded 2026/08/14Repository updated 2026/08/13

agent-skillsai-scientistbioinformaticschemoinformaticsclaudeclaude-skillsclaudecodeclinical-researchcomputational-biologydata-analysisdrug-discoverygenomicsmaterials-sciencemetabolomicsproteomicsscientific-computingscientific-visualization

Install in seconds

Install Aeon

Copy Aeon into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/aeon ~/.claude/skills/aeon

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/K-Dense-AI/scientific-agent-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/aeon/SKILL.md in K-Dense-AI/scientific-agent-skills
Installs to: ~/.claude/skills/aeon
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Aeon does

Aeon is a scikit-learn compatible toolkit for time series machine learning, covering classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use it when working with temporal data or time-indexed observations requiring specialized algorithms beyond standard ML approaches.

Aeon is cataloged under Data on DirSkills. Aeon comes from a repository tagged agent-skills, ai-scientist, bioinformatics, chemoinformatics and claude.

Documentation

README

Excerpt

Aeon Time Series Machine Learning

Overview

Aeon is a scikit-learn compatible Python toolkit for time series machine learning (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.

Version note: Examples target aeon 1.x (stable docs: v1.4.0, March 2026). The v1.0 release reworked forecasting and transformations; import paths differ from aeon 0.x/sktime-era code.

When to Use This Skill

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Aeon

What else does K-Dense-AI publish alongside Aeon?
Aeon is one of 25 skills that DirSkills catalogs from K-Dense-AI/scientific-agent-skills, the repository it ships in. Its siblings there include Adaptyv Bio Foundry API, Analytical Method Validation and AnnData. Each one is a separate skill with its own page in this directory, installs the same way Aeon does, and is maintained by K-Dense-AI in that same repository. The rest of the collection is listed on the K-Dense-AI/scientific-agent-skills page.
How does Aeon compare to other Data skills?
Aeon ranks #34 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Aeon against them. Open each page to compare what they document and how they install.