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feat(skills): add jupyter-live-kernel skill for stateful Python REPL
Adds a new data-science skill category with jupyter-live-kernel, which uses hamelnb (https://github.com/hamelsmu/hamelnb) to give the agent a live Jupyter kernel for stateful, iterative Python execution. Key features: - Variables persist across executions (unlike execute_code which is stateless) - Inspect live variables, edit notebook cells, restart-and-run-all - Clear trigger conditions and distinction from execute_code/terminal - Practical tips based on hands-on testing - No new tools required — uses terminal to run CLI commands Prerequisites: uv, jupyterlab, hamelnb cloned to ~/.agent-skills/hamelnb
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skills/data-science/DESCRIPTION.md
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skills/data-science/DESCRIPTION.md
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Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.
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