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jupyter-to-marimo

Convert a Jupyter notebook (.ipynb) to a marimo notebook (.py).

DeepseekModel Curated skill Quality Excellent · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=marimo-team-skills-skills-jupyter-to-marimo-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name jupyter-to-marimo description Convert a Jupyter notebook (.ipynb) to a marimo notebook (.py). Converting Jupyter Notebooks to Marimo Convert first Important: Run the converter before you read the source notebook: uvx marimo convert <notebook.ipynb> -o <notebook.py> Read the .ipynb file only if conversion fails or the generated file omits required information. Treat the generated file as a first draft. Run this command after conversion and after substantial edits: uvx marimo check <notebook.py> Review the conversion Verify all required packages in the PEP 723 metadata. The converter can miss some package-installation forms. Remove residual installation cells and stale installation prose. Add version constraints only when required. Use --sandbox when a notebook uses PEP 723 metadata. Preserve the purpose and intended workflow of the source notebook. Arrange cells for presentation. marimo determines execution order from variable definitions and references. A cell can appear before a cell that defines its input. Merge or split cells when the current boundaries reduce clarity. Remove redundant Jupyter artifacts, such as unnecessary display() calls. Review converted magic commands. Keep valid conversions, and resolve comments that report unsupported magics. Put the value to render in the final expression of each cell. Keep added UI and helper functions proportional to the notebook purpose. Replace interactive input methods that wait for terminal input or do not work in the target interface. Use suitable UI controls, script parameters, or environment values. Do not print, log, or save secrets. Consider EnvConfig for multiple environment values. Identify expensive work and external side effects. If work must wait, gate it with mo.stop() and a suitable UI element. Use a form if the user must submit multiple values together. Define downstream values after the gate so the dependency graph defers dependent cells. Present useful results with simple native components. Add live refresh only when the intended workflow requires it. For ipywidgets, read references/widgets.md . For LaTeX and MathJax, read references/latex.md . Validate the result Run marimo check again after all edits. Run the notebook in each intended mode. Confirm that it has the intended behavior. When practical, open the source and converted notebooks side by side and invite the user to review. Compare content, controls, outputs, and workflow. Cell order and layout can differ. Inspect changed files for secrets, generated data, caches, logs, and other runtime files.
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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