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Found 21 Skills
Add "Open in molab" badge(s) linking to marimo notebooks. Works with READMEs, docs, websites, or any markdown/HTML target.
Generate anywidget components for marimo notebooks.
Guide for creating and working with marimo notebooks, the reactive Python notebook that stores as pure .py files. This skill should be used when creating, editing, running, or deploying marimo notebooks.
Make a demo of a research paper in a marimo notebook fully automatically without extra user input.
Implement a research paper in a marimo notebook fully automatically without extra user input.
This skill should be used when the user asks to "use marimo", "create a marimo notebook", "debug a marimo notebook", "inspect cells", "understand reactive execution", "fix marimo errors", "convert from jupyter to marimo", or works with marimo reactive Python notebooks.
Convert a Jupyter notebook (.ipynb) to a marimo notebook (.py).
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.
Write a marimo notebook in a Python file in the right format.
An opintionated skill to prepare a marimo notebook to make it ready for a scheduled run.
Session retrospective for improving marimo-pair and marimo._code_mode. Use when the user wants to analyze friction from a pairing session, identify what went wrong, and brainstorm improvements to the skill docs or the underlying API. Trigger on: "retro", "what went wrong", "improve the skill", "session review", "friction", or /retro-marimo-pair.
Implement a research paper as an interactive marimo notebook. Starts by understanding what the user wants to explore, fetches the paper via alphaxiv, then builds a focused notebook.