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.).
git clone https://github.com/aiskillstore/marketplace
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"
skills/codingkaiser/marimo-development/SKILL.mdMarimo Development
Create reactive Python notebooks with marimo's interactive programming environment.
Core Workflow
- Start with fundamentals: Read
- contains marimo's cell structure, reactivity model, UI elements, and essential examplesreferences/core-concepts.md - Use recipes for common tasks: Check
for code snippetsreferences/recipes.md - Refer to API docs: Navigate
for specific function detailsreferences/api/ - Troubleshoot issues: See
andreferences/faq.mdreferences/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
- Automatic execution: When a variable changes, cells using it automatically re-run
- No redeclaration: Variables cannot be redeclared across cells
- DAG structure: Cells form a directed acyclic graph (no circular dependencies)
- Last expression displays: The final expression in a cell is automatically shown
- UI reactivity: UI element values accessed via
trigger automatic updates.value - Local variables: Variables prefixed with
(e.g.,_
) are local to the cell_temp
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
as last expression (notplt.gca()
)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
- Circular dependencies: Reorganize code to remove cycles
- UI value access: Can't access
in the same cell where UI element is defined.value - Variable redeclaration: Each variable can only be defined once across all cells
- Visualization not showing: Ensure visualization object is the last expression
- Global keyword: Never use
- violates marimo's execution modelglobal
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.