notebook▌

Create and scaffold Jupyter notebooks for experiments and tutorials with bundled templates. \n \n Two notebook kinds: experiment for exploratory analysis and hypothesis-driven work, tutorial for instructional step-by-step content \n Helper script new_notebook.py generates clean notebooks from templates, avoiding manual JSON authoring \n Workflow emphasizes small, focused code cells paired with markdown explanations, with reference guides for experiment patterns, tutorial structure, and safe edit

Electronic lab notebook API integration for managing entries, attachments, and backups with LabArchives.

Write Milvus application-level Jupyter notebook examples as a DevRel workflow. Uses a Markdown-first approach — AI edits .md files, then converts to .ipynb via jupyter-switch.

Extract actionable methodologies from learning materials (documents, articles, videos) or quality examples (blog posts, designs, code) to generate reusable Skills.

Create Python-based interactive notebooks with marimo's reactive cell architecture. \n \n Notebooks are pure Python files with @app.cell decorated functions representing cells; dependencies and inputs/outputs are automatically managed through function parameters \n Supports three execution modes: script mode (non-interactive testing), interactive browser editing, and CLI execution via uv run marimo \n Use mo.app_meta().mode == \"script\" to detect execution context and adapt data sources without