notebook-cell

Insert StackQL query cells into existing Jupyter notebooks.

Updated Mar 25, 2026
One-click install
npx skills add https://github.com/stackql/stackql-skills --skill notebook-cell
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: notebook-cell
Source: https://github.com/stackql/stackql-skills/tree/main/skills/notebook-cell
Command: npx skills add https://github.com/stackql/stackql-skills --skill notebook-cell

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate and insert StackQL query cells into an existing Jupyter notebook, reducing manual setup and enabling seamless execution of StackQL queries.

Core Features & Use Cases

  • Cell generation & insertion: Creates a markdown heading cell and a %%stackql query cell, with optional visualization.
  • Notebook compatibility: Works with the pystackql extension to run queries inside notebooks.
  • Flexible input handling: Accepts raw SQL or natural-language prompts and supports optional visualizations.
  • Seamless context retention: Maintains existing notebook variables and provider state when adding cells.

Quick Start

Open a notebook, run the notebook-cell skill to insert a StackQL cell block.

Frequently Asked Questions about notebook-cell

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I insert StackQL queries into a Jupyter notebook?

You can insert StackQL queries into a Jupyter notebook by generating markdown heading cells alongside %%stackql code cells, which streamlines exploratory data workflows and reduces manual setup.

Can I use natural language prompts to generate StackQL cells in Jupyter?

Yes, StackQL cell generation accepts both raw SQL and natural-language prompts as input, parsing the provided text to create executable pystackql-powered query cells within your existing notebook environment.

Does the pystackql extension support adding visualization cells to existing notebooks?

Yes, the notebook-cell skill works with the pystackql extension to insert optional visualization code alongside StackQL queries, maintaining existing notebook variables and provider state during cell generation.

What is the best way to automate StackQL query cell generation for data analytics?

Automating StackQL query cell generation is best handled by using the notebook-cell skill, which reads notebook context, parses inputs, and inserts formatted markdown and code cells via NotebookEdit for seamless execution.

Will adding new StackQL cells reset my existing Jupyter notebook variables?

No, adding new StackQL cells does not reset existing notebook variables, as the cell insertion process maintains your current notebook variables and provider state when appending the new query blocks.