marimo
Reactive Python notebook system. Cell reactivity, UI elements (sliders, dropdowns, tables), SQL cells, plotting, app deployment. Use when assembling Stage 9 notebooks, building data apps, or converting Jupyter to marimo .py format.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill marimo --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# marimo marimo reactive Python notebook system for reproducible and interactive data work. Covers cell reactivity model, UI elements (sliders, dropdowns, tables, forms), SQL cells, DataFrame display, plotting integration, validation patterns for data pipelines, and deployment as apps, scripts, or WASM. Use when assembling Stage 9 research notebooks, developing reactive marimo notebooks, building
What does the marimo skill do?
Reactive Python notebook system. Cell reactivity, UI elements (sliders, dropdowns, tables), SQL cells, plotting, app deployment. Use when assembling Stage 9 notebooks, building data apps, or converting Jupyter to marimo .py format.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill marimo --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.