If you're doing anything serious with time series data, this gives you access to aeon's scikit-learn compatible toolkit for classification, regression, clustering, forecasting, and anomaly detection. The real value is in the specialized algorithms like ROCKET for fast feature extraction, DTW and other elastic distance metrics that understand temporal warping, and state-of-the-art classifiers like HIVECOTEV2. It handles both univariate and multivariate series and includes deep learning architectures like InceptionTime. The API mirrors sklearn, so pipelines and transformations work as expected. Beats cobbling together your own time series features or trying to force standard ML onto sequential data.
npx -y skills add davila7/claude-code-templates --skill aeon --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills