jupyter-notebook Skill
Use dis one wen di user dey ask make you create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer di bundled templates and run di helper script newnotebook.py make e generate a clean starting notebook. Published by microsoft in ai-agents-for-beginners.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
1 month ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is jupyter-notebook Skill?
Use dis one wen di user dey ask make you create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer di bundled templates and run di helper script newnotebook.py make e generate a clean starting notebook. Published by microsoft in ai-agents-for-beginners. 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. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: translations/pcm/.agents/skills/jupyter-notebook/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use jupyter-notebook Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/ai-agents-for-beginners
- Skill file: translations/pcm/.agents/skills/jupyter-notebook/SKILL.md
What it does
Use dis one wen di user dey ask make you create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer di bundled templates and run di helper script newnotebook.py make e generate a clean starting notebook.
Skill instructions
Jupyter Notebook Skill Make clean, reproducible Jupyter notebooks for two main modes: - Experiments and exploratory analysis - Tutorials and teaching-oriented walkthroughs Dey prefer di bundled templates and di helper script for consistent structure and to reduce JSON mistakes. When to use - Make new .ipynb notebook from scratch. - Turn rough notes or scripts into one structured notebook. - Refactor an existing notebook make am more reproducible and easy to skim. - Build experiments or tutorials wey other people go read or run again. Decision tree - If di request na exploratory, analytical, or hypothesis-driven, choose experiment. - If di request na instructional, step-by-step, or audience-specific, choose tutorial. - If you dey edit existing notebook, treat am as refactor: preserve intent and improve structure. Skill path (set once) bash export CODEXHOME="${CODEXHOME:-$HOME/.codex}" export JUPYTERNOTEBOOKCLI="$CODEXHOME/skills/jupyter-notebook/scripts/newnotebook.py" User-scoped skill
Verified compatibility and discovery
Frequently asked questions
What is jupyter-notebook?
jupyter-notebook is a open-source AI agent skill with Copy skill directory. Use dis one wen di user dey ask make you create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer di bundled templates and run di helper script.
Who is jupyter-notebook best for?
jupyter-notebook is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install jupyter-notebook?
Install or run jupyter-notebook using Copy skill directory. Check jupyter-notebook for the latest setup command.
Is jupyter-notebook actively maintained?
jupyter-notebook may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
