“NotebookLM”

Store and retrieve knowledge in the Alhazen TypeDB knowledge graph - remember, recall, organize papers and notes

Use this skill when the user asks to "log a measurement", "record test results", "create a lab entry", "document characterization data", "track bench…

Scaffold and refine Jupyter notebooks for experiments, tutorials, and exploratory workflows with clear narrative structure.

会话笔记：把值得长期保留的结论/决策/发现写进工作区笔记。用户说「记一下 / note this / 记住这个结论」时使用。

当用户需要审计 Jupyter Notebook 的隐藏状态、执行顺序、依赖、路径、随机性、输出、数据泄漏或脚本化复现风险时使用。

Use CLI tools to inspect Python APIs and find, understand, view, and safely edit Jupyter notebooks and aidialog dialogs without a Python kernel.

Creates complete newsletter editions for the Flow Factor Newsletter on Beehiiv.

Databricks PySpark notebook (Python-source-format) structure and style: notebook header/cell contract, cell ordering, docstring steps, fail-fast validation…

Delegate a bounded task to a user-named peer CLI, or to fill a capability the host lacks.

Build, extend, AND query a persistent LLM-maintained wiki for any research topic.

MCP server that wraps the Open Notebook API

DisMech rare disease knowledge mapped into Alhazen notebook memory

Record a quick note about how UI Preflight felt in this session (friction, something that helped, a wish).

Execute OpenQuant notebook code cells non-interactively, persist outputs to artifact paths, and fail fast on runtime errors.

Append a short timestamped note to an existing Cortex node.

Answer a question from Nickolaj's Obsidian notes vault, read-only.

Use when the user explicitly invokes /exploratory-notebook to explore or explain an analysis in a live marimo notebook.

List and write Apple Notes using AppleScript with optional Shortcuts integration

Keep notebooks reproducible, readable, and ready to graduate into scripts.

Collect and process inline editing notes from chapters.

Persistent Omagy notepad for priority, working, and manual notes

Reads the source notebook in the project root and produces a structured summary.

Skill to query and update a mistake notebook to memorize mistake.

Implement unit tests, integration tests, and data validation tests for Databricks notebooks and pipelines.