Alterlab Aeon
技能 已验证 活跃Part of the AlterLab Academic Skills suite. This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
To empower users with specialized algorithms for complex time series machine learning tasks, going beyond standard ML approaches when working with temporal data.
功能
- Time series classification with multiple algorithm categories
- Time series regression across various model types
- Forecasting with statistical and deep learning models
- Anomaly detection for series and collections
- Time series clustering with specialized distances
- Segmentation, similarity search, and feature extraction
使用场景
- Classifying or predicting from temporal data sequences
- Detecting anomalies or change points in time-indexed observations
- Clustering similar time series patterns
- Forecasting future values based on historical data
非目标
- Performing standard machine learning tasks on non-temporal data
- Replacing general-purpose data analysis libraries
- Providing a graphical user interface for model training
Execution
- info:Pinned dependenciesWhile standard Python installation is indicated, explicit dependency pinning via a lockfile is not evident in the provided context.
安装
npx skills add AlterLab-IEU/AlterLab-Academic-Skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
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