skills/29-quarcs-lab-project20XXy/dot-claude/skills/new-notebook/SKILL.md
Creates a Jupyter notebook with Jupytext pairing and registers it in _quarto.yml. Use when adding a new notebook.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research new-notebookInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Create a new Jupyter notebook with Jupytext pairing and register it in the manuscript.
$ARGUMENTS — the notebook name and title (e.g., "notebook-02 Regression Analysis")notebook-NN.ipynb (sequential numbering)notebooks/ for existing notebooks to determine the next number.ipynb file in notebooks/ with:
import sys; sys.path.insert(0, ".."); from config import set_seeds, DATA_DIR; set_seeds()source("../config.R"); set_seeds()clear all followed by set seed 42.md pair by running: uv run jupytext --set-formats ipynb,md:myst notebooks/<name>.ipynb_quarto.yml under manuscript.notebooks:
- notebook: notebooks/<name>.ipynb
title: "N<number>: <title>"
quarto render notebooks/<name>.ipynbtools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".