Alterlab Aeon
Skill Verified ActivePart 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.
Features
- 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
Use Cases
- 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
Non-Goals
- 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.
Installation
npx skills add AlterLab-IEU/AlterLab-Academic-SkillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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