jupyter-notebook
Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.
npx skills add Haohao-end/openagent --skill jupyter-notebook --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Jupyter Notebook Skill Create clean, reproducible Jupyter notebooks for two primary modes: - Experiments and exploratory analysis - Tutorials and teaching-oriented walkthroughs Prefer the bundled templates and the helper script for consistent structure and fewer JSON mistakes. ## When to use - Create a new `.ipynb` notebook from scratch. - Convert rough notes or scripts into a structured notebook. - Refactor an existing notebook to be more reproducible and skimmable. - Build experiments or tutorials that will be read or re-run by other people. ## Decision tree - If the request is exploratory, analytical, or hypothesis-driven, choose `experiment`. - If the request is instructional, step-by-step, or audience-specific, choose `tutorial`. - If editing an existing notebook, treat it as a refactor: preserve intent and improve structure. ## Skill path (set once) ```bash export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}" export JUPYTER_NOTEBOOK_CLI="$CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py" ``` User-scoped skills install under `$CODEX_HOME/skills` (default: `~/.codex/skills`). ## Workflow 1. Lock the intent. Identify the notebook kind: `experiment` or `tutorial`. Capture
- When to use
- Decision tree
- Skill path (set once)
- Workflow
- Templates and helper script
- Temp and output conventions
- Dependencies (install only when needed)
- Environment
- Reference map
export CODEX_HOME="${CODEX_HOME:-$HOME/.codex}"
export JUPYTER_NOTEBOOK_CLI="$CODEX_HOME/skills/jupyter-notebook/scripts/new_notebook.py"
uv run --python 3.12 python "$JUPYTER_NOTEBOOK_CLI" \
uv pip install jupyterlab ipykernelWhat does the jupyter-notebook skill do?
Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.
How do I install it?
Run `npx skills add Haohao-end/openagent --skill jupyter-notebook --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From Haohao-end/openagent, a repository with 778 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.