Notebook Guidance
作者 gemini-cli-extensions2df10e25bbf7Apache-2.0215 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新
This skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full notebook generation depending on tool availability), library installation, and structuring notebooks for clarity. It also covers specific rules for data cleaning, plotting, and integrating with BigQuery SQL and machine learning workflows. Relevant when any of the following conditions are true: 1. The user request involves a data analysis, data exploration, data visualization, or data insights task that requires multiple steps, queries, or visualizations to answer. 2. The user explicitly requests a notebook (.ipynb). 3. You are creating, editing, or executing cells in a Jupyter notebook. 4. You need to query BigQuery from within a notebook. DO NOT use the Python BigQuery client library; instead, you MUST use the `%%bqsql` magics explained in this skill.
僅公開檔案列表。將技能安裝到工作區後即可檢視檔案內容。
| 路徑 | 大小 | 類型 |
|---|---|---|
| SKILL.md | 14.7 KB | text/markdown |
來源與署名
來源：gemini-cli-extensions/data-agent-kit-starter-pack位於skills/notebook-guidance提交2df10e2
授權條款： Apache-2.0
內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。
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