marimo
This skill should be used when the user asks to "use marimo", "create a marimo notebook", "debug a marimo notebook", "inspect cells", "understand reactive execution", "fix marimo errors", "convert from jupyter to marimo", or works with marimo reactive Python notebooks.
Best use case
marimo is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
This skill should be used when the user asks to "use marimo", "create a marimo notebook", "debug a marimo notebook", "inspect cells", "understand reactive execution", "fix marimo errors", "convert from jupyter to marimo", or works with marimo reactive Python notebooks.
Teams using marimo should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/marimo/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How marimo Compares
| Feature / Agent | marimo | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
This skill should be used when the user asks to "use marimo", "create a marimo notebook", "debug a marimo notebook", "inspect cells", "understand reactive execution", "fix marimo errors", "convert from jupyter to marimo", or works with marimo reactive Python notebooks.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
## Contents
- [Editing and Verification Enforcement](#editing-and-verification-enforcement)
- [Key Concepts](#key-concepts)
- [Cell Structure](#cell-structure)
- [Editing Rules](#editing-rules)
- [Core CLI Commands](#core-cli-commands)
- [Export Commands](#export-commands)
- [Data and Visualization](#data-and-visualization)
- [Debugging Workflow](#debugging-workflow)
- [Common Issues](#common-issues)
- [Additional Resources](#additional-resources)
# Marimo Reactive Notebooks
Marimo is a reactive Python notebook where cells form a DAG and auto-execute on dependency changes. Notebooks are stored as pure `.py` files.
## Editing and Verification Enforcement
### IRON LAW #1: NEVER MODIFY CELL DECORATORS OR SIGNATURES
Only edit code INSIDE `@app.cell` function bodies. This is not negotiable.
**NEVER modify:**
- Cell decorators (`@app.cell`)
- Function signatures (`def _(deps):`)
- Return statements structure (trailing commas required)
**ALWAYS verify:**
- All used variables are in function parameters
- All created variables are in return statement
- Trailing comma for single returns: `return var,`
### IRON LAW #2: NO EXECUTION CLAIM WITHOUT OUTPUT VERIFICATION
Before claiming ANY marimo notebook works:
1. **VALIDATE** syntax and structure: `marimo check notebook.py`
2. **EXECUTE** with outputs: `marimo export ipynb notebook.py -o __marimo__/notebook.ipynb --include-outputs`
3. **VERIFY** using notebook-debug skill's verification checklist
4. **CLAIM** success only after verification passes
This is not negotiable. Claiming "notebook works" without executing and inspecting outputs is LYING to the user.
### Rationalization Table - STOP If You Think:
| Excuse | Reality | Do Instead |
|--------|---------|------------|
| "marimo check passed, so it works" | Syntax check ≠ runtime correctness | EXECUTE with --include-outputs and inspect |
| "Just a small change, can't break anything" | Reactivity means small changes propagate everywhere | VERIFY with full execution |
| "I'll let marimo handle the dependency tracking" | Verification of correct behavior is still required | CHECK outputs match expectations |
| "The function signature looks right" | Wrong deps/returns break reactivity silently | VALIDATE all vars are in params AND returns |
| "I can modify the function signature" | Breaks marimo's dependency detection | ONLY edit inside function bodies |
| "Variables can be used without returning them" | Will cause NameError in dependent cells | RETURN all created variables |
| "I can skip the trailing comma for single returns" | Python treats `return var` as returning the value, breaks unpacking | USE `return var,` for single returns |
### Red Flags - STOP Immediately If You Think:
- "Let me add this variable to the function signature" → NO. Marimo manages signatures.
- "I'll just run marimo check and call it done" → NO. Execute with outputs required.
- "The code looks correct" → NO. Marimo's reactivity must be verified at runtime.
- "I can redefine this variable in another cell" → NO. One variable = one cell.
### Editing Checklist
Before every marimo edit:
**Structure Validation:**
- [ ] Only edit code INSIDE `@app.cell` function bodies
- [ ] Do NOT modify decorators or signatures
- [ ] Verify all used variables are in function parameters
- [ ] Verify all created variables are in return statement
- [ ] Ensure trailing comma used for single returns
- [ ] Ensure no variable redefinitions across cells
**Syntax Validation:**
- [ ] Execute `marimo check notebook.py`
- [ ] Verify no syntax errors reported
- [ ] Verify no undefined variable warnings
- [ ] Verify no redefinition warnings
**Runtime Verification:**
- [ ] Execute with `marimo export ipynb notebook.py -o __marimo__/notebook.ipynb --include-outputs`
- [ ] Verify export succeeded (exit code 0)
- [ ] Verify output ipynb exists and is non-empty
- [ ] Apply notebook-debug verification checklist
- [ ] Verify no tracebacks in any cell
- [ ] Verify all cells executed (execution_count not null)
- [ ] Verify outputs match expectations
**Only after ALL checks pass:**
- [ ] Claim "notebook works"
### Gate Function: Marimo Verification
Follow this sequence for EVERY marimo task:
```
1. EDIT → Modify code inside @app.cell function bodies only
2. CHECK → marimo check notebook.py
3. EXECUTE → marimo export ipynb notebook.py -o __marimo__/notebook.ipynb --include-outputs
4. INSPECT → Use notebook-debug verification
5. VERIFY → Outputs match expectations
6. CLAIM → "Notebook works" only after all gates passed
```
**NEVER skip verification gates.** Marimo's reactivity means changes propagate unpredictably.
### Honesty Framing
**Claiming a marimo notebook works without executing it with --include-outputs and inspecting the results is LYING.**
Syntax checks and code inspection prove nothing about reactive execution correctness. The user expects a working notebook where all cells execute correctly with proper dependency tracking.
## Key Concepts
- **Reactive execution**: Cells auto-update when dependencies change
- **No hidden state**: Each variable defined in exactly one cell
- **Pure Python**: `.py` files, version control friendly
- **Cell structure**: `@app.cell` decorator pattern
## Cell Structure
```python
import marimo
app = marimo.App()
@app.cell
def _(pl): # Dependencies as parameters
df = pl.read_csv("data.csv")
return df, # Trailing comma required for single return
@app.cell
def _(df, pl):
summary = df.describe()
filtered = df.filter(pl.col("value") > 0)
return summary, filtered # Multiple returns
```
## Editing Rules
- Edit code INSIDE `@app.cell` functions only
- Never modify cell decorators or function signatures
- Variables cannot be redefined across cells
- All used variables must be returned from their defining cell
- **Markdown cells: Always wrap `$` in backticks** - `mo.md("Cost: `$50`")` not `mo.md("Cost: $50")`
## Core CLI Commands
| Command | Purpose |
|---------|---------|
| `marimo edit notebook.py` | marimo: Open notebook in browser editor for interactive development |
| `marimo run notebook.py` | marimo: Run notebook as executable app |
| `marimo check notebook.py` | marimo: Validate notebook structure and syntax without execution |
| `marimo convert notebook.ipynb` | marimo: Convert Jupyter notebook to marimo format |
## Export Commands
```bash
# marimo: Export to ipynb with code only
marimo export ipynb notebook.py -o __marimo__/notebook.ipynb
# marimo: Export to ipynb with outputs (runs notebook first)
marimo export ipynb notebook.py -o __marimo__/notebook.ipynb --include-outputs
# marimo: Export to HTML (runs notebook by default)
marimo export html notebook.py -o __marimo__/notebook.html
# marimo: Export to HTML with auto-refresh on changes (live preview)
marimo export html notebook.py -o __marimo__/notebook.html --watch
```
**Key difference:** HTML export runs the notebook by default. ipynb export does NOT - use `--include-outputs` to run and capture outputs.
**Tip:** Use `__marimo__/` folder for all exports (ipynb, html). The editor can auto-save there.
## Data and Visualization
- Prefer polars over pandas for performance
- Use `mo.ui` for interactive widgets
- SQL cells: `mo.sql(df, "SELECT * FROM df")`
- Display markdown: `mo.md("# Heading")`
## Debugging Workflow
**1. Pre-execution validation:**
```bash
# scripts: Validate notebook syntax and cell structure
scripts/check_notebook.sh notebook.py
```
Runs syntax check, marimo validation, and cell structure overview in one command.
**2. Runtime errors:** Export with outputs, then use `notebook-debug` skill:
```bash
# marimo: Export to ipynb with outputs for inspection
marimo export ipynb notebook.py -o __marimo__/notebook.ipynb --include-outputs
```
## Common Issues
| Issue | Fix |
|-------|-----|
| Variable redefinition | Rename one variable or merge cells |
| Circular dependency | Break cycle by merging or restructuring |
| Missing return | Add `return var,` with trailing comma |
| Import not available | Ensure import cell returns the module |
## Additional Resources
### Reference Files
For detailed patterns and advanced techniques, consult:
- **`references/reactivity.md`** - DAG execution, variable rules, dependency detection patterns
- **`references/debugging.md`** - Error patterns, runtime debugging, environment-specific issues
- **`references/widgets.md`** - Interactive UI components and mo.ui patterns
- **`references/sql.md`** - SQL cells and database integration techniques
### Examples
Working examples available in `examples/`:
- **`examples/basic_notebook.py`** - Minimal marimo notebook structure
- **`examples/data_analysis.py`** - Data loading, filtering, and visualization patterns
- **`examples/interactive_widgets.py`** - Interactive UI component usage
### Scripts
Validation utilities in `scripts/`:
- **`scripts/check_notebook.sh`** - Primary validation: syntax check, marimo validation, cell structure overview
- **`scripts/get_cell_map.py`** - Extract cell metadata (invoked by check_notebook.sh)
### Related Skills
- **`notebook-debug`** - Debugging executed ipynb files with tracebacks and output inspection