What is notebook-ai-agents-skill?
Create/refactor reproducible analysis notebooks with Marimo (preferred) or Jupyter (minimal support). Use for interactive, narrative-first analyses. Source: fmschulz/omics-skills.
Create/refactor reproducible analysis notebooks with Marimo (preferred) or Jupyter (minimal support). Use for interactive, narrative-first analyses.
Quickly install notebook-ai-agents-skill AI skill to your development environment via command line
Source: fmschulz/omics-skills.
Build narrative-first, reproducible notebooks with strict run-all validation and clean data loading patterns. Prefer Marimo for new notebooks; support Jupyter only when needed for existing .ipynb files.
| Marimo docs | https://docs.marimo.io/ | | Jupyter (legacy) | See docs/notebookstructure.md | | Pixi + Jupyter (legacy) | See docs/pixijupyter.md | | Data loading | See docs/dataloadingduckdb.md | | Plot styling | See docs/plotstyle.md | | Validation | See docs/verification.md | | Templates (legacy) | templates/kissnotebooktemplate.py |
Issue: Marimo fails to run due to missing dependencies Solution: Install required packages in the Pixi environment and re-run.
Create/refactor reproducible analysis notebooks with Marimo (preferred) or Jupyter (minimal support). Use for interactive, narrative-first analyses. Source: fmschulz/omics-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/fmschulz/omics-skills --skill notebook-ai-agents-skillCreate/refactor reproducible analysis notebooks with Marimo (preferred) or Jupyter (minimal support). Use for interactive, narrative-first analyses. Source: fmschulz/omics-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/fmschulz/omics-skills --skill notebook-ai-agents-skill 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/fmschulz/omics-skills