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.
Install
npx skills add GoogleCloudPlatform/data-agent-kit-plugin --skill notebook-guidancenpx skills add GoogleCloudPlatform/data-agent-kit-plugin --skill notebook-guidance -a claude-code -gnpx skills add GoogleCloudPlatform/data-agent-kit-plugin --skill notebook-guidance -a codex -ggemini skills install https://github.com/GoogleCloudPlatform/data-agent-kit-plugin.git --path skills/notebook-guidancegh skill install GoogleCloudPlatform/data-agent-kit-plugin notebook-guidancegit clone --depth 1 https://github.com/GoogleCloudPlatform/data-agent-kit-plugin /tmp/GoogleCloudPlatform__data-agent-kit-plugin
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/GoogleCloudPlatform__data-agent-kit-plugin/skills/notebook-guidance ~/.claude/skills/notebook-guidance # Claude Code
cp -R /tmp/GoogleCloudPlatform__data-agent-kit-plugin/skills/notebook-guidance ~/.agents/skills/notebook-guidance # Codex, Cursor, Gemini CLI, Copilot, OpenCode