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jupyter-notebook Skill

AI Agent SkillJupyter NotebookOpen source

當使用者要求建立、搭建或編輯 Jupyter 筆記本(.ipynb)以進行實驗、探索或教學範例時使用;優先使用隨附的範本,並執行輔助腳本 newnotebook.py 來產生一個乾淨的起始筆記本。 Published by microsoft in ai-agents-for-beginners.

What is jupyter-notebook Skill?

當使用者要求建立、搭建或編輯 Jupyter 筆記本(.ipynb)以進行實驗、探索或教學範例時使用;優先使用隨附的範本,並執行輔助腳本 newnotebook.py 來產生一個乾淨的起始筆記本。 Published by microsoft in ai-agents-for-beginners. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Developers using ai-agents-for-beginners

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use jupyter-notebook Skill

  • Use it for developers using ai-agents-for-beginners.

Built with

Jupyter NotebookCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/ai-agents-for-beginners
  • Skill file: translations/zh-HK/.agents/skills/jupyter-notebook/SKILL.md

What it does

當使用者要求建立、搭建或編輯 Jupyter 筆記本(.ipynb)以進行實驗、探索或教學範例時使用;優先使用隨附的範本,並執行輔助腳本 newnotebook.py 來產生一個乾淨的起始筆記本。

Skill instructions

Jupyter Notebook 技能 建立清晰、可重現的 Jupyter 筆記本,以兩種主要模式為主: - 實驗與探索性分析 - 教學導向的教學步驟 優先使用內建範本與輔助腳本,以維持一致的結構並減少 JSON 錯誤。 何時使用 - 從頭建立新的 .ipynb 筆記本。 - 將草稿筆記或腳本轉換為結構化的筆記本。 - 重構現有筆記本,使其更具可重現性與易讀性。 - 建立會被其他人閱讀或重新執行的實驗或教學。 決策流程 - 如果請求屬於探索性、分析性或以假設為驅動,選擇 experiment。 - 如果請求是教學性的、逐步說明或針對特定受眾,選擇 tutorial。 - 如果是編輯現有筆記本,視為重構:保留原意並改善結構。 技能路徑(設定一次) bash export CODEXHOME="${CODEXHOME:-$HOME/.codex}" export JUPYTERNOTEBOOKCLI="$CODEXHOME/skills/jupyter-notebook/scripts/newnotebook.py" User-scoped skills install under $CODEXHOME/skills (default: ~/.codex/skills). 工作流程 1. Lock the intent. Identify the notebook kind: experiment or tutorial. Capture the objective, audience, and what "done" looks like. 2. Scaffold from the template. Use the helper script to avoid hand-authoring raw notebook JSON. bash uv run --python 3.12 python "$JUPYTERNOTEBOOKCLI" \ --kind experiment \ --title "Compare prompt variants" \ --out output/jupyter-notebook/compare-prompt-variants.ipynb bash uv run --python 3.12 python "$JUPYTERNOTEBOOK

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Frequently asked questions

What is jupyter-notebook?

jupyter-notebook is a open-source AI agent skill with Copy skill directory. 當使用者要求建立、搭建或編輯 Jupyter 筆記本(.ipynb)以進行實驗、探索或教學範例時使用;優先使用隨附的範本,並執行輔助腳本 newnotebook.py 來產生一個乾淨的起始筆記本。

Who is jupyter-notebook best for?

jupyter-notebook is best for reusing agent instructions, scripts, and references.

How do I install jupyter-notebook?

Install or run jupyter-notebook using Copy skill directory. Check jupyter-notebook for the latest setup command.

Is jupyter-notebook actively maintained?

jupyter-notebook may need a closer maintenance check before production use.

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Last commit
9 days ago
Repository age
2 years
License
MIT

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jupyter-notebook: Install, Config & GitHub Signals – SkillIndex