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quality-notebook

Community

Automate notebook quality & collaboration.

Data & Analytics#git#jupyter#notebooks#data-science#nbstripout#nbdime#nbqa
AuthorsunLeee
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Notebook quality management is often manual and error-prone in Data Science collaboration. This skill automates quality control for Jupyter notebooks by applying nbstripout, nbdime, and nbqa to ensure clean outputs, reliable diffs, and consistent linting.

Core Features & Use Cases

  • nbstripout integration to strip outputs before commits
  • nbdime for diff/merge of notebooks
  • nbqa to run linters and formatters on notebook code cells
  • Git-ready workflow with pre-commit hooks for notebook hygiene
  • Use Case: teams that share notebooks via Git can maintain clean history and consistent code quality.

Quick Start

Install and configure the notebook quality tools to start enforcing clean notebooks immediately.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: quality-notebook
Download link: https://github.com/sunLeee/optimization/archive/main.zip#quality-notebook

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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