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重要前提

安装AI Skills的关键前提是：必须科学上网，且开启TUN模式，这一点至关重要，直接决定安装能否顺利完成，在此郑重提醒三遍：科学上网，科学上网，科学上网。查看完整安装教程 →

Jupyter Notebook 操作指南：JSON 结构解析、代码执行与格式转换教程

jupyter by openhands/skills

68 周安装量

78 GitHub Stars

GitHub

安装命令

npx skills add https://github.com/openhands/skills --skill jupyter

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🇨🇳中文介绍

Jupyter Notebook 指南

Notebook 是 JSON 文件。单元格存储在 nb['cells'] 中，每个单元格包含 source（字符串列表）和 cell_type（'code'、'markdown' 或 'raw'）。

修改 Notebook

import json
with open('notebook.ipynb') as f:
    nb = json.load(f)
# 修改 nb['cells'][i]['source']，然后：
with open('notebook.ipynb', 'w') as f:
    json.dump(nb, f, indent=1)

执行与转换

jupyter nbconvert --to notebook --execute --inplace notebook.ipynb  # 原地执行
jupyter nbconvert --to html notebook.ipynb      # 转换为 HTML
jupyter nbconvert --to script notebook.ipynb    # 转换为 Python
jupyter nbconvert --to markdown notebook.ipynb  # 转换为 Markdown

查找代码

grep -n "search_term" notebook.ipynb

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🇺🇸English

Jupyter Notebook Guide

Notebooks are JSON files. Cells are in nb['cells'], each has source (list of strings) and cell_type ('code', 'markdown', or 'raw').

Modifying Notebooks

import json
with open('notebook.ipynb') as f:
    nb = json.load(f)
# Modify nb['cells'][i]['source'], then:
with open('notebook.ipynb', 'w') as f:
    json.dump(nb, f, indent=1)

Executing & Converting

jupyter nbconvert --to notebook --execute --inplace notebook.ipynb  # Execute in place
jupyter nbconvert --to html notebook.ipynb      # Convert to HTML
jupyter nbconvert --to script notebook.ipynb    # Convert to Python
jupyter nbconvert --to markdown notebook.ipynb  # Convert to Markdown

Finding Code

grep -n "search_term" notebook.ipynb

Cell Structure

# Code cell
{"cell_type": "code", "execution_count": None, "metadata": {}, "outputs": [], "source": ["code\n"]}
# Markdown cell
{"cell_type": "markdown", "metadata": {}, "source": ["# Title\n"]}

Clear Outputs

for cell in nb['cells']:
    if cell['cell_type'] == 'code':
        cell['outputs'] = []
        cell['execution_count'] = None

Weekly Installs

Repository

openhands/skills

GitHub Stars

First Seen

Jan 20, 2026

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