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jupyter-live-kernel
Guides notebook-first analysis with reproducible kernels, inspectable data loading, and explicit promotion paths back into durable code.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Guides notebook-first analysis with reproducible kernels, inspectable data loading, and explicit promotion paths back into durable code.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
Keeps lightweight public-web discovery available for prompts, scheduled jobs, and follow-up research.
Open Notes.app and create or update iCloud notes on macOS using memo when possible and AppleScript when direct app automation is more reliable.
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Open Find My on macOS, inspect devices or people when the user explicitly asks, and keep side effects gated behind confirmation.
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Guides operator-owned delegation to Claude Code when repo work benefits from a second coding lane or an interactive code agent.
| name | Jupyter Live Kernel |
| skill_id | jupyter-live-kernel |
| description | Guides notebook-first analysis with reproducible kernels, inspectable data loading, and explicit promotion paths back into durable code. |
| version | 1.0.0 |
| source_kind | elephant-builtin |
| aliases | ["jupyter","live kernel","notebook analysis"] |
| trigger_phrases | ["open a notebook workflow","analyze this in jupyter","use a live python kernel"] |
| keywords | ["jupyter","notebook","analysis","kernel","python","data science"] |
| category | data-science |
Use this built-in skill when the user wants interactive notebook analysis, exploratory data work, or a live kernel workflow.