Interactive notebooks for data science: Jupyter, JupyterLab, and marimo. Use for exploratory analysis, reproducible research, documentation, and sharing insights with stakeholders.
Quickly install data-science-notebooks AI skill to your development environment via command line
Source: legout/data-platform-agent-skills.
Use this skill for creating reproducible, well-structured notebooks for data exploration, analysis, and communication.
| JupyterLab | Traditional data science, extensions ecosystem | Full IDE experience | | marimo | Reproducible notebooks, reactive execution | Python-native, version-control friendly | | VS Code + Jupyter | IDE-native notebook experience | Intellisense, debugging, git integration |
| Google Colab | Cloud GPUs, sharing, collaboration | Free TPU/GPU, easy sharing |
Interactive notebooks for data science: Jupyter, JupyterLab, and marimo. Use for exploratory analysis, reproducible research, documentation, and sharing insights with stakeholders. Source: legout/data-platform-agent-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/legout/data-platform-agent-skills --skill data-science-notebooksInteractive notebooks for data science: Jupyter, JupyterLab, and marimo. Use for exploratory analysis, reproducible research, documentation, and sharing insights with stakeholders. Source: legout/data-platform-agent-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/legout/data-platform-agent-skills --skill data-science-notebooks Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/legout/data-platform-agent-skills