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npx playbooks add skill i9wa4/dotfiles --skill jupyter-notebookReview the files below or copy the command above to add this skill to your agents.
---
name: jupyter-notebook
description: |
Jupyter Notebook Expert Skill - Guide for notebook execution and Databricks kernel integration
Use when:
- Executing Jupyter notebooks via CLI (jupyter execute)
- Running notebooks with Databricks kernel
- Configuring notebook execution options (timeout, inplace)
---
# Jupyter Notebook Expert Skill
This skill provides a guide for Jupyter Notebook execution.
## 1. Databricks Jupyter Kernel
<https://github.com/i9wa4/jupyter-databricks-kernel>
```bash
uv pip install jupyter-databricks-kernel
uv run python -m jupyter_databricks_kernel.install
```
## 2. Default Execution Method
When instructed to execute an entire notebook, use this command:
```sh
uv run jupyter execute <notebook_path> --inplace --timeout=300
```
## 3. Execute with Databricks Kernel
When running notebook on Databricks cluster:
```sh
uv run jupyter execute <notebook_path> --inplace --kernel_name=databricks --timeout=300
```
Required environment variables:
- `DATABRICKS_HOST`: Databricks workspace URL
- `DATABRICKS_TOKEN`: Personal Access Token
- `DATABRICKS_CLUSTER_ID`: Cluster ID
## 4. Usage Examples
```bash
# Execute with local Python kernel
uv run jupyter execute /workspace/notebooks/sample.ipynb --inplace --timeout=300
# Execute with Databricks kernel
uv run jupyter execute /workspace/notebooks/databricks-sample.ipynb --inplace --kernel_name=databricks --timeout=300
```
## 5. Option Descriptions
- `--inplace`: Overwrite original file with execution results
- `--kernel_name=<name>`: Specify kernel to use (databricks, python3, etc.)
- `--timeout=<seconds>`: Set timeout in seconds (-1 for unlimited)
- `--startup_timeout=<seconds>`: Kernel startup timeout (default 60 seconds)
- `--allow-errors`: Continue execution to end even with errors
## 6. Notes
- Verify required environment variables are properly set before execution
- Adjust `--timeout` value for long-running cells
- If open in VS Code, verify file updates after execution
- For Databricks kernel, cluster startup takes 5-6 minutes if stopped
## 7. Reference Links
- jupyter-databricks-kernel: <https://github.com/i9wa4/jupyter-databricks-kernel>
- Jupyter nbclient: <https://nbclient.readthedocs.io/>