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.
Quick integration into your workflow with minimal setup
Active open-source community with continuous updates
MIT/Apache licensed for commercial and personal use
Customizable and extendable based on your needs
Download or copy the skill file from the source repository
Place the skill file in Claude's skills directory (usually ~/.claude/skills/）。
Restart Claude or run the reload command to load the skill
Tip: Read the documentation and code carefully before first use to understand functionality and permission requirements
All Skills from open-source community, preserving original authors' copyrights
K-Dense-AI__claude-scientific-skills/scientific-skills/aeon/skill.mdProven benefits and measurable impact
Accelerate quantum system simulations compared to manual calculations.
Reduce time for quantum state and operator computations significantly.
Increase quantum research productivity with integrated tools.
Perfect for these scenarios
Simulate quantum logic gates and circuits for quantum computing research.
Model quantum system dynamics using Schrödinger or master equations.
Analyze dissipation and decoherence effects in noisy quantum environments.
Visualize quantum states using Bloch spheres and Wigner function plots.