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notebook-guidance

Official

Guides notebook-based data analysis with BigQuery.

Data & Analytics#visualization#data-analysis#bigquery#notebook#bigframes#notebook-guidance#kernel-management
Authorgemini-cli-extensions
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill guides users to adopt best practices for using Jupyter notebooks in data analysis with BigQuery, enabling reproducible workflows, cleaner notebooks, and safer execution.

Core Features & Use Cases

  • Notebook execution guidance for cell-by-cell and full-notebook flows depending on tool availability.
  • Kernel and environment management including local vs remote, dependencies.
  • BigQuery integration guidance with %%bqsql and BigFrames, avoiding Python client.
  • Notebook structure and visualization best practices including data cleaning and plotting.

Quick Start

Open a notebook and begin with a title, then follow the incremental generate-execute-validate flow for each cell while enabling the %%bqsql magics for BigQuery queries.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: notebook-guidance
Download link: https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack/archive/main.zip#notebook-guidance

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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