Marketplace marimo-development

Expert guidance for creating and working with marimo notebooks - reactive Python notebooks that can be executed as scripts and deployed as apps. Use when the user asks to create marimo notebooks, convert Jupyter notebooks to marimo, build interactive dashboards or data apps with marimo, work with marimo's reactive programming model, debug marimo notebooks, or needs help with marimo-specific features (cells, UI elements, reactivity, SQL integration, deploying apps, etc.).

install
source · Clone the upstream repo
git clone https://github.com/aiskillstore/marketplace
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/aiskillstore/marketplace "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/codingkaiser/marimo-development" ~/.claude/skills/aiskillstore-marketplace-marimo-development && rm -rf "$T"
manifest: skills/codingkaiser/marimo-development/SKILL.md
source content

Marimo Development

Create reactive Python notebooks with marimo's interactive programming environment.

Core Workflow

  1. Start with fundamentals: Read
    references/core-concepts.md
    - contains marimo's cell structure, reactivity model, UI elements, and essential examples
  2. Use recipes for common tasks: Check
    references/recipes.md
    for code snippets
  3. Refer to API docs: Navigate
    references/api/
    for specific function details
  4. Troubleshoot issues: See
    references/faq.md
    and
    references/troubleshooting.md

Key Marimo Concepts

Cell Structure

Every marimo cell follows this structure:

@app.cell
def _():
    # Your code here
    return

When editing cells, only modify the code inside the function - marimo handles parameters and returns automatically.

Reactivity Rules

  1. Automatic execution: When a variable changes, cells using it automatically re-run
  2. No redeclaration: Variables cannot be redeclared across cells
  3. DAG structure: Cells form a directed acyclic graph (no circular dependencies)
  4. Last expression displays: The final expression in a cell is automatically shown
  5. UI reactivity: UI element values accessed via
    .value
    trigger automatic updates
  6. Local variables: Variables prefixed with
    _
    (e.g.,
    _temp
    ) are local to the cell

Import Pattern

Always import marimo in the first cell:

@app.cell
def _():
    import marimo as mo
    # other imports
    return

Common Tasks

Creating Interactive UIs

# Create UI element in one cell
@app.cell
def _():
    slider = mo.ui.slider(0, 100, value=50, label="Value")
    slider
    return

# Use its value in another cell
@app.cell
def _():
    result = slider.value * 2
    mo.md(f"Double the value: {result}")
    return

Working with Data

# Load and display data
@app.cell
def _():
    import polars as pl
    df = pl.read_csv("data.csv")
    df  # Automatically displays as table
    return

# Interactive data exploration
@app.cell
def _():
    mo.ui.data_explorer(df)
    return

SQL with DuckDB

@app.cell
def _():
    # marimo has built-in DuckDB support
    result = mo.sql(f"""
        SELECT * FROM df WHERE column > 100
    """)
    return

Layouts

@app.cell
def _():
    # Horizontal stack
    mo.hstack([element1, element2, element3])

    # Vertical stack
    mo.vstack([top, middle, bottom])

    # Tabs
    mo.tabs({"Tab 1": content1, "Tab 2": content2})
    return

Visualization Best Practices

  • matplotlib: Use
    plt.gca()
    as last expression (not
    plt.show()
    )
  • plotly: Return the figure object directly
  • altair: Return the chart object; add tooltips; accepts polars dataframes directly

Reference Documentation

Use

references/NAVIGATION.md
to understand the complete documentation structure. Key references:

Essential Reading

  • core-concepts.md - Start here for fundamentals and examples
  • recipes.md - Code snippets for common tasks

Detailed Guides

  • reactivity.md - Deep dive into reactive execution
  • interactivity.md - Building interactive UIs
  • best_practices.md - Coding standards for marimo

Working with Data

  • working_with_data/sql.md - SQL and DuckDB integration
  • working_with_data/dataframes.md - pandas, polars, etc.
  • working_with_data/plotting.md - Visualization libraries

Deployment

  • apps.md - Deploy as interactive web apps
  • scripts.md - Run as Python scripts with CLI args

API Reference

  • api/inputs/ - All UI elements (slider, dropdown, button, table, etc.)
  • api/layouts/ - Layout components (tabs, accordion, sidebar, etc.)
  • api/control_flow.md - Cell execution control
  • api/state.md - State management
  • api/caching.md - Performance optimization

Troubleshooting

  • faq.md - Common questions and solutions
  • troubleshooting.md - Error fixes
  • debugging.md - Debugging techniques

Common Pitfalls

  1. Circular dependencies: Reorganize code to remove cycles
  2. UI value access: Can't access
    .value
    in the same cell where UI element is defined
  3. Variable redeclaration: Each variable can only be defined once across all cells
  4. Visualization not showing: Ensure visualization object is the last expression
  5. Global keyword: Never use
    global
    - violates marimo's execution model

After Creating a Notebook

Run

marimo check --fix
to automatically catch and fix common formatting issues and detect pitfalls.

Quick Reference: Most Used UI Elements

mo.ui.slider(start, stop, value=None, label=None)
mo.ui.dropdown(options, value=None, label=None)
mo.ui.text(value='', label=None)
mo.ui.button(value=None, kind='primary')
mo.ui.checkbox(label='', value=False)
mo.ui.table(data, sortable=True, filterable=True)
mo.ui.data_explorer(df)  # Interactive dataframe explorer
mo.ui.dataframe(df)  # Editable dataframe
mo.ui.form(element, label='')  # Wrap elements in a form
mo.ui.array(elements)  # Array of UI elements

See

references/api/inputs/index.md
for the complete list.

Quick Reference: Layout Functions

mo.md(text)  # Display markdown
mo.hstack(elements)  # Horizontal layout
mo.vstack(elements)  # Vertical layout
mo.tabs(dict)  # Tabbed interface
mo.stop(predicate, output=None)  # Conditional execution
mo.output.append(value)  # Append to output
mo.output.replace(value)  # Replace output

See

references/api/layouts/index.md
for all layout options.