Paper Figures
EvoScientist/EvoSkills
A skill your agent uses to produce standalone, publication-ready PNG graphics and reproducible matplotlib scripts from tabular data (CSVs or DataFrames).
Convert a Streamlit app to a marimo notebook. An agent skill from marimo-team/skills.
Install Streamlit To Marimo
$ npx skills add marimo-team/skills --skill streamlit-to-marimo -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install marimo-team/skills streamlit-to-marimo --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/marimo-team/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/streamlit-to-marimo .claude/skills/streamlit-to-marimo && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "streamlit-to-marimo" agent skill from https://github.com/marimo-team/skills/tree/main/skills/streamlit-to-marimo into .claude/skills/streamlit-to-marimo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "streamlit-to-marimo", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/marimo-team/skills/tree/main/skills/streamlit-to-marimoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add marimo-team/skills --skill streamlit-to-marimo -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install marimo-team/skills streamlit-to-marimo --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marimo-team/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/streamlit-to-marimo .agents/skills/streamlit-to-marimo && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "streamlit-to-marimo" agent skill from https://github.com/marimo-team/skills/tree/main/skills/streamlit-to-marimo into .agents/skills/streamlit-to-marimo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "streamlit-to-marimo", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add marimo-team/skills --skill streamlit-to-marimo -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install marimo-team/skills streamlit-to-marimo --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marimo-team/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/streamlit-to-marimo .cursor/skills/streamlit-to-marimo && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "streamlit-to-marimo" agent skill from https://github.com/marimo-team/skills/tree/main/skills/streamlit-to-marimo into .cursor/skills/streamlit-to-marimo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "streamlit-to-marimo", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/marimo-team/skills.git --path skills/streamlit-to-marimo--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add marimo-team/skills --skill streamlit-to-marimo -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install marimo-team/skills streamlit-to-marimo --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marimo-team/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/streamlit-to-marimo .gemini/skills/streamlit-to-marimo && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "streamlit-to-marimo" agent skill from https://github.com/marimo-team/skills/tree/main/skills/streamlit-to-marimo into .gemini/skills/streamlit-to-marimo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "streamlit-to-marimo", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install marimo-team/skills streamlit-to-marimoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add marimo-team/skills --skill streamlit-to-marimo -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/marimo-team/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/streamlit-to-marimo .github/skills/streamlit-to-marimo && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "streamlit-to-marimo" agent skill from https://github.com/marimo-team/skills/tree/main/skills/streamlit-to-marimo into .github/skills/streamlit-to-marimo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "streamlit-to-marimo", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add marimo-team/skills --skill streamlit-to-marimo -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install marimo-team/skills streamlit-to-marimo --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/marimo-team/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/streamlit-to-marimo .opencode/skills/streamlit-to-marimo && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "streamlit-to-marimo" agent skill from https://github.com/marimo-team/skills/tree/main/skills/streamlit-to-marimo into .opencode/skills/streamlit-to-marimo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "streamlit-to-marimo", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
streamlit-to-marimo- GitHub stars
- 174
- Token cost
- ~1.5k tokens
- SKILL.md length
- 615 words
- Files
- 1
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Convert a Streamlit app to a marimo notebook. An agent skill from marimo-team/skills.
- Works in 5 steps: Read the Streamlit app to understand its… → Create a new marimo notebook following… → Map Streamlit components to marimo… → …
- Tasks that involve Jupyter notebooks
- SKILL.md covers Steps, Widget Mapping Reference and Key Conceptual Differences
- Calls uvx
What it does
Streamlit To Marimo is an agent skill from marimo-team/skills. Convert a Streamlit app to a marimo notebook
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Jupyter notebooks. It works with marimo and Streamlit. The repository describes itself as: skills for coding agents related to marimo. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Jupyter notebooks
Example prompts
- “/streamlit-to-marimo”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Read the Streamlit app to understand its widgets, layout, and state management.
- Create a new marimo notebook following the marimo-notebook skill conventions. Add all dependencies the Streamlit app uses (pandas, plotly…
- Map Streamlit components to marimo equivalents using the reference tables below. Key principles
- Handle conceptual differences in execution model, state, and caching (see below).
- Run uvx marimo check on the result and fix any issues.
What it can do on your machine
Read from SKILL.md and the folder at commit 6454470. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
uvx
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uvx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Streamlit To Marimo loads about 1.5k tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 615 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from marimo-team/skills at commit 6454470, republished under its Apache-2.0 licence (© marimo-team). 615 words, ~1,531 tokens.
Download SKILL.mdSave it as
.claude/skills/streamlit-to-marimo/SKILL.md (or your agent's skills folder).- name
- streamlit-to-marimo
- description
- Convert a Streamlit app to a marimo notebook
Converting Streamlit Apps to Marimo
For general marimo notebook conventions (cell structure, PEP 723 metadata, output rendering, marimo check, variable naming, etc.), refer to the marimo-notebook skill. This skill focuses specifically on mapping Streamlit concepts to marimo equivalents.
Steps
Read the Streamlit app to understand its widgets, layout, and state management.
Create a new marimo notebook following the
marimo-notebookskill conventions. Add all dependencies the Streamlit app uses (pandas, plotly, altair, etc.) — but replacestreamlitwithmarimo. You should not overwrite the original file.Map Streamlit components to marimo equivalents using the reference tables below. Key principles:
- UI elements are assigned to variables and their current value is accessed via
.value. - Cells that reference a UI element automatically re-run when the user interacts with it — no callbacks needed.
- UI elements are assigned to variables and their current value is accessed via
Handle conceptual differences in execution model, state, and caching (see below).
Run
uvx marimo checkon the result and fix any issues.
Widget Mapping Reference
Input Widgets
| Streamlit | marimo | Notes |
|---|---|---|
st.slider() | mo.ui.slider() | |
st.select_slider() | mo.ui.slider(steps=[...]) | Pass discrete values via steps |
st.text_input() | mo.ui.text() | |
st.text_area() | mo.ui.text_area() | |
st.number_input() | mo.ui.number() | |
st.checkbox() | mo.ui.checkbox() | |
st.toggle() | mo.ui.switch() | |
st.radio() | mo.ui.radio() | |
st.selectbox() | mo.ui.dropdown() | |
st.multiselect() | mo.ui.multiselect() | |
st.date_input() | mo.ui.date() | |
st.time_input() | mo.ui.text() | No dedicated time widget |
st.file_uploader() | mo.ui.file() | Use .contents() to read bytes |
st.color_picker() | mo.ui.text(value="#000000") | No dedicated color picker |
st.button() | mo.ui.button() or mo.ui.run_button() | Use run_button for triggering expensive computations |
st.download_button() | mo.download() | Returns a download link element |
st.form() + st.form_submit_button() | mo.ui.form(element) | Wraps any element so its value only updates on submit |
Display Elements
| Streamlit | marimo | Notes |
|---|---|---|
st.write() | mo.md() or last expression | |
st.markdown() | mo.md() | Supports f-strings: mo.md(f"Value: {x.value}") |
st.latex() | mo.md(r"$...$") | marimo uses KaTeX; see references/latex.md |
st.code() | mo.md("```python\n...\n```") | |
st.dataframe() | df (last expression) | DataFrames render as interactive marimo widgets natively; use mo.ui.dataframe(df) only for no-code transformations |
st.table() | df (last expression) | Use mo.ui.table(df) if you need row selection |
st.metric() | mo.stat() | |
st.json() | mo.json() or mo.tree() | mo.tree() for interactive collapsible view |
st.image() | mo.image() | |
st.audio() | mo.audio() | |
st.video() | mo.video() |
Charts
| Streamlit | marimo | Notes |
|---|---|---|
st.plotly_chart(fig) | fig (last expression) | Use mo.ui.plotly(fig) for selections |
st.altair_chart(chart) | chart (last expression) | Use mo.ui.altair_chart(chart) for selections |
st.pyplot(fig) | fig (last expression) | Use mo.ui.matplotlib(fig) for interactive matplotlib |
Layout
| Streamlit | marimo | Notes |
|---|---|---|
st.sidebar | mo.sidebar([...]) | Pass a list of elements |
st.columns() | mo.hstack([...]) | Use widths=[...] for column ratios |
st.tabs() | mo.ui.tabs({...}) | Dict of {"Tab Name": content} |
st.expander() | mo.accordion({...}) | Dict of {"Title": content} |
st.container() | mo.vstack([...]) | |
st.empty() | mo.output.replace() | |
st.progress() | mo.status.progress_bar() | |
st.spinner() | mo.status.spinner() | Context manager |
Show full SKILL.md (236 more words)Show less
Key Conceptual Differences
Execution Model
Streamlit reruns the entire script top-to-bottom on every interaction. Marimo uses a reactive cell DAG — only cells that depend on changed variables re-execute.
- No need for
st.rerun()— reactivity is automatic. - No need for
st.stop()— structure cells so downstream cells naturally depend on upstream values.
State Management
| Streamlit | marimo |
|---|---|
st.session_state["key"] | Regular Python variables between cells |
Callback functions (on_change) | Cells referencing widget.value re-run automatically |
st.query_params | mo.query_params |
Caching
| Streamlit | marimo |
|---|---|
@st.cache_data | @mo.cache |
@st.cache_resource | @mo.persistent_cache |
@mo.cache is the primary caching decorator — it works like functools.cache but is aware of marimo's reactivity. @mo.persistent_cache goes further by persisting results to disk across sessions, useful for expensive computations like model training.
Multi-Page Apps
Marimo offers two approaches for multi-page Streamlit apps:
- Single notebook with routing: Use
mo.routeswithmo.nav_menuormo.sidebarto build multiple "pages" (tabs/routes) inside one notebook. - Multiple notebooks as a gallery: Run a folder of notebooks with
marimo run folder/to serve them as a gallery with navigation.
Deploying
marimo features molab to host marimo apps instead of the streamlit community cloud. You can generate an "open in molab" button via the add-molab-badge skill.
Custom components
streamlit has a feature for custom components. These are not compatible with marimo. You might be able to generate an equivalent anywidget via the marimo-anywidget skill but discuss this with the user before working on that.
© marimo-team, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/streamlit-to-marimo of marimo-team/skills.
Open the folder on GitHubat commit 6454470
Compare with similar skills
Streamlit To Marimo next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Streamlit To Marimo this skillmarimo-team/skills | 174 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Paper FiguresEvoScientist/EvoSkills | 476 | 1 repos | ~4.4k | Automated safety check: Pass | Apache-2.0 | |
| Wasm Compatibilityericmjl/llamabot | 183 | 2 repos | ~1.6k | Automated safety check: Pass | None | |
| Marimo Paircosanlab/nltools | 131 | 1 repos | ~3k | Automated safety check: Pass | MIT | |
| Marimo Notebookcosanlab/nltools | 131 | 4 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Marimo Batchkoaning/gitcharts | 145 | 1 repos | ~819 | Automated safety check: Notes | None |
Similar skills
Wasm Compatibility
ericmjl/llamabot
Check if a marimo notebook is compatible with WebAssembly (WASM) and report any issues.
Marimo Pair
cosanlab/nltools
Work inside a running marimo notebook's kernel — execute code, create cells, and build a notebook as an artifact.
Marimo Notebook
cosanlab/nltools
Write a marimo notebook in a Python file in the right format.
Marimo Batch
koaning/gitcharts
An opintionated skill to prepare a marimo notebook to make it ready for a scheduled run.
Marimo Pair
PhySpace/SimpleCADAPI
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.
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Implement a research paper as an interactive marimo notebook together with the user.
Related
Categories
Questions about Streamlit To Marimo
What does Streamlit To Marimo do?
Convert a Streamlit app to a marimo notebook. An agent skill from marimo-team/skills. Streamlit To Marimo is an agent skill from marimo-team/skills.
When should I use Streamlit To Marimo?
Streamlit To Marimo fits situations like: tasks that involve Jupyter notebooks.
How do I install Streamlit To Marimo in Claude Code?
Run `npx skills add marimo-team/skills --skill streamlit-to-marimo -a claude-code`. Or copy the skill folder (skills/streamlit-to-marimo in marimo-team/skills) into .claude/skills/streamlit-to-marimo in your project. Claude Code loads it when a task matches its description.
How do I install Streamlit To Marimo in Codex?
Run `npx skills add marimo-team/skills --skill streamlit-to-marimo -a codex`. Or copy the skill folder (skills/streamlit-to-marimo in marimo-team/skills) into .agents/skills/streamlit-to-marimo in your project. Codex loads it when a task matches its description.
Can I use Streamlit To Marimo in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add marimo-team/skills --skill streamlit-to-marimo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/streamlit-to-marimo, .gemini/skills/streamlit-to-marimo, .github/skills/streamlit-to-marimo and .opencode/skills/streamlit-to-marimo in your project.
What does Streamlit To Marimo need to run?
Going by SKILL.md and its folder, Streamlit To Marimo needs the command-line tools its instructions call (uvx). Our summary lists: Python 3.
Does Streamlit To Marimo access the network?
SKILL.md contains no URLs. Its commands use uvx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Streamlit To Marimo safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Streamlit To Marimo use?
Streamlit To Marimo is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Streamlit To Marimo use?
About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Streamlit To Marimo?
Skills that share tags, products or a category with Streamlit To Marimo: Paper Figures (EvoScientist/EvoSkills, 476 stars), Wasm Compatibility (ericmjl/llamabot, 183 stars), Marimo Pair (cosanlab/nltools, 131 stars) and Marimo Notebook (cosanlab/nltools, 131 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Streamlit To Marimo?
marimo-team (a GitHub organization) maintains it in marimo-team/skills, which has 174 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on August 19, 2026.
Source: marimo-team/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.