Aeon Time Series Machine Learning
技能 已验证 活跃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 AI agents with specialized algorithms for sophisticated time series analysis beyond standard machine learning approaches.
功能
- Time series classification and regression
- Forecasting and anomaly detection
- Clustering and segmentation
- Similarity search and pattern discovery
- Scikit-learn compatible APIs
使用场景
- Analyzing temporal data with specialized algorithms
- Detecting anomalies or change points in sequential patterns
- Clustering or forecasting time-indexed observations
- Performing univariate and multivariate time series analysis
非目标
- Handling general machine learning tasks outside of time series
- Providing basic data manipulation beyond what aeon offers
- Replacing standard scikit-learn for non-temporal data
Documentation
- info:Configuration & parameter referenceThe SKILL.md details algorithms and provides quick start examples, but does not explicitly document all parameters or configuration precedence for those algorithms.
Versioning
- info:Release ManagementThe SKILL.md frontmatter specifies a license, but no explicit version number is present. The installation command `uv pip install aeon` implies a specific version is installed, but it's not clearly declared in the skill's metadata.
Execution
- info:Pinned dependenciesThe installation instruction uses `uv pip install aeon`, which typically pins dependencies by default. However, a lockfile is not explicitly mentioned as part of the skill's bundle.
- info:Pinned dependenciesThe installation instruction uses `uv pip install aeon`, which typically pins dependencies by default. However, a lockfile is not explicitly mentioned as part of the skill's bundle, and versioning is not explicitly declared.
Practical Utility
- info:Edge casesThe SKILL.md documentation mentions data preparation best practices like normalization and handling missing values, but doesn't explicitly list failure modes with symptoms and recovery steps.
安装
npx skills add K-Dense-AI/claude-scientific-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
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