marimo-team

Implement a research paper as an interactive marimo notebook together with the user. Start by understanding what the user wants to explore, fetch the paper via alphaxiv, then build a focused notebook.

An opintionated skill to prepare a marimo notebook to make it ready for a scheduled run.

Implement a research paper in a marimo notebook fully automatically without extra user input.

Make a demo of a research paper in a marimo notebook fully automatically without extra user input.

Add "Open in molab" badge(s) linking to marimo notebooks. Works with READMEs, docs, websites, or any markdown/HTML target.

Convert a Streamlit app to a marimo notebook

Work inside the user's live marimo notebook from the code editor: run Python in the same kernel the user does, inspect live notebook state, and commit durable notebook changes through code mode. Use whenever you create, analyze, or improve the user's marimo…

Fill missing and refresh obsolete model descriptions in `packages/llm-info/data/models.yml` by querying OpenRouter and provider documentation. Use when the user asks to populate model descriptions, enrich the model catalog, or curate descriptions after…

Drive a live marimo notebook as a workspace: run Python in the same kernel the user does, inspect live notebook state, and commit durable notebook changes. Use when the user wants to start a marimo notebook or pair on an active marimo session.

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",…

Drive a live marimo notebook in VS Code as a workspace: run Python in the same kernel the user does, inspect and explore live notebook state and data, prototype and debug code, and commit durable notebook changes (cells, values, packages). Use whenever…

Prepare a marimo-for-JetBrains release — generate CHANGELOG.md entries from merged pull requests, bump the version, and publish. Use when cutting a new plugin release.

Turn a Marimo notebook into focused web views. Use when an agent needs to inspect notebook and view source, edit a view safely, build it, show it in Studio, inspect its URL with browser tools, run it, or export it.

Turn an existing marimo Python notebook into a polished static HTML, CSS, and TypeScript application by designing an ExportSpec, creating and capturing finite notebook states with marimo-export, loading outputs through @marimo-team/marimo-export, and…