implement-paper-auto

Provides guidance for writing marimo notebooks in the correct Python file format, covering script mode detection, interactive vs. CLI usage, UI widget patterns, and best practices for keeping notebook cells simple.

An opinionated skill to prepare marimo notebooks for scheduled batch runs, using Pydantic for parameter declaration with both UI form and CLI argument support, plus optional Weights and Biases integration.

Official marimo skills for AI agents including anywidget generator, designed for use with marimo notebooks and supporting multiple agents via the skills.sh universal installer.

Converts Jupyter notebooks (.ipynb) to marimo notebooks (.py) using the marimo CLI, with guidance on cleaning up artifacts, replacing ipywidgets, fixing metadata, and validating the converted output.

A skill for marimo notebook development providing WASM compatibility guidance, installable for use with Claude Code, OpenCode, and other agents that support the skills format.

A skill for turning research papers into interactive marimo notebooks, fetching papers via alphaxiv and building focused implementations scoped to the user's specific interests and background.

A skill from the marimo team for adding molab badges to projects. Part of a collection of skills designed for use with marimo, a reactive Python notebook framework, supporting multiple AI agents.

A marimo skill that converts Streamlit apps to marimo notebooks, mapping Streamlit widgets to marimo UI equivalents. Covers execution model differences, state management, and caching pattern migration.

Fully automatic skill that builds a marimo notebook demo of a research paper without asking the user for input — fetches the paper through AlphaXiv, picks a single clear story to tell, and produces a CPU-runnable minimum example centered on one or two interactive charts.

Skill