aeon
This skill provides a scikit-learn compatible Python toolkit for time series machine learning tasks. It covers classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search with practical code examples and benchmark datasets.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install k-dense-ai-claude-scientific-skills-aeon
Repository
Skill path: scientific-skills/aeon
This skill provides a scikit-learn compatible Python toolkit for time series machine learning tasks. It covers classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search with practical code examples and benchmark datasets.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: K-Dense-AI.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install aeon into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/K-Dense-AI/claude-scientific-skills before adding aeon to shared team environments
- Use aeon for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.