Polars
K-DenseReference for Polars, the Python DataFrame library: expressions, lazy queries, streaming and migration from pandas.
By agent · Claude Code
Skills in the open SKILL.md format that Claude Code reads. Each one has a plain-language summary and the command to install it.
$ npx skills add <author>/<skill>Replace the placeholder with the author and skill name from the skill's page. Start a new Claude Code session afterwards so the skill is picked up.
Reference for Polars, the Python DataFrame library: expressions, lazy queries, streaming and migration from pandas.
Builds Bayesian models with PyMC: hierarchical models, MCMC, variational inference and model comparison.
Cheminformatics with RDKit: SMILES parsing, molecular descriptors, fingerprints, substructure search and reactions.
Writes research proposals for NSF, NIH, DOE and DARPA, with agency-specific formatting, review criteria and budgets.
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Machine learning in Python with scikit-learn: classification, regression, clustering, model evaluation and tuning.
Statistical visualisation with Seaborn: distributions, relationships and categorical comparisons.
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Statistical modelling with statsmodels: OLS, GLM, mixed models and ARIMA, with diagnostics and inference.
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The core usage guide for agent-browser: the snapshot-and-ref workflow, navigation, element interaction and data extraction.
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Questions
A folder with a SKILL.md file: instructions, and sometimes scripts and reference files, that Claude Code loads when a task calls for them.
Each skill page has an install command. Run it in a terminal, then start a new Claude Code session so the skill is picked up.
An instructions file is loaded in every session and describes the project. A skill is loaded only when a task calls for it, so it can be long and specific without costing context on every turn.