aeon

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.

1.33x

Quality

86%

Does it follow best practices?

Impact

84%

1.33x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Evaluation results

85%

29%

Wearable Activity Classifier

Classification algorithm selection and pipeline

Criteria

Without context

With context

Speed-optimized classifier

58%

100%

Accuracy-optimized classifier

16%

25%

Baseline comparison

37%

100%

Z-normalization used

100%

No data leakage

50%

100%

Pipeline composition

100%

Standard dataset splits

100%

Random state set

100%

Correct aeon import paths

100%

results.json written

100%

Avoids deep learning for small data

100%

80%

Machine Behavior Grouping for Predictive Maintenance

Time series clustering with elastic distance metrics

Criteria

Without context

With context

Uses TimeSeriesKMeans

100%

DTW distance selected

100%

Barycentric averaging

100%

DTW window constraint

Normalization applied

Elastic distance rationale

100%

Standard data loading

50%

100%

Cluster centers saved

100%

Cluster labels saved

100%

clustering_report.json written

100%

88%

32%

Server Response Time Anomaly Monitor

Anomaly detection with range-based evaluation metrics

Criteria

Without context

With context

STOMP or MERLIN used

100%

Window size 10-20% of length

100%

Percentile-based threshold

100%

Range-based precision metric

100%

Range-based recall metric

100%

Range-based F1 metric

100%

Data normalized before detection

100%

anomaly_scores.npy saved

100%

anomaly_labels.npy saved

100%

evaluation_report.json written

100%

Repository: K-Dense-AI/claude-scientific-skills
Commit: b58ad7e

Evaluated: 27 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Wearable Activity Classifier Machine Behavior Grouping for Predictive Maintenance Server Response Time Anomaly Monitor

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