jupyter-notebooks Skill
Create, edit, or validate reproducible SQL or Python notebooks. Use for notebooks, SQL/Python scratchpads, reproducible exploration, audit trails, or runnable companions where the analysis should be reviewable or rerunnable. Published by openai in role-specific-plugins.
What is jupyter-notebooks Skill?
Create, edit, or validate reproducible SQL or Python notebooks. Use for notebooks, SQL/Python scratchpads, reproducible exploration, audit trails, or runnable companions where the analysis should be reviewable or rerunnable. Published by openai in role-specific-plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Database workflows
- Security review
- Data analysis
- Database workflows use cases
- Security review use cases
Technical details
- Install or run with Copy skill directory
When to use jupyter-notebooks Skill
- Use it for database workflows.
- Use it for security review.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/role-specific-plugins
- Skill file: plugins/data-analytics/skills/jupyter-notebooks/SKILL.md
What it does
Create, edit, or validate reproducible SQL or Python notebooks. Use for notebooks, SQL/Python scratchpads, reproducible exploration, audit trails, or runnable companions where the analysis should be reviewable or rerunnable.
Skill instructions
Related Skills Use $validate-data when notebook results support a recommendation, shared claim, or decision. Jupyter Notebooks Create clean, reproducible Jupyter notebooks that are easy to skim, rerun, and handoff. Treat the notebook as a reader-facing analysis artifact, not a scratchpad dump. Notebook work is not complete until the notebook executes successfully top-to-bottom, or the execution gap is called out with the exact validation steps needed to reproduce it. Workflow 1. Lock the notebook mode and scope. Decide whether the notebook is an analysis report, experiment log, diagnostic notebook, data-quality check, market-sizing calculation, model exploration, tutorial, or companion artifact for a report. Identify the reader, decision, expected handoff, required inputs, and whether the task calls for a new notebook or targeted edits to an existing one. 2. Inspect or scaffold with notebook-safe tooling. Prefer JupyterLab, nbformat, nbclient, or an existing scaffold utility over hand-
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Frequently asked questions
What is jupyter-notebooks?
jupyter-notebooks is a open-source AI agent skill with Copy skill directory. Create, edit, or validate reproducible SQL or Python notebooks. Use for notebooks, SQL/Python scratchpads, reproducible exploration, audit trails, or runnable companions where the analysis should be.
Who is jupyter-notebooks best for?
jupyter-notebooks is best for reusing agent instructions, scripts, and references, database workflows, security review workflows, data analysis workflows.
How do I install jupyter-notebooks?
Install or run jupyter-notebooks using Copy skill directory. Check jupyter-notebooks for the latest setup command.
Is jupyter-notebooks actively maintained?
jupyter-notebooks may need a closer maintenance check before production use.
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