quality-checker

Code quality enforcement in Jupyter notebooks applies Black for formatting, Flake8 for style checks, and isort for import organization. This Skill automates all three tools together, applying PEP 8 compliance and educational configurations (line length 100, relaxed checks) to ensure consistent, readable code across notebooks.

Yes. While Black, Flake8, and isort work on Python files, this Skill uses nbqa to run them directly on .ipynb files. nbqa extracts code cells, applies the tools, and writes corrections back to your notebook without losing structure or metadata.

Jupyter notebooks store code in cells alongside outputs and markdown. Standard linting tools cannot parse this format. This Skill uses nbqa as an adapter layer, allowing Black, Flake8, and isort to work on notebooks while preserving cell structure and output.

Apply this Skill to format code to PEP 8 standards, organize imports, and check for style violations before sharing. The educational configuration (line length 100, per-file ignores) balances readability with teaching clarity, making notebooks publication-ready.

Yes. This Skill is configured specifically for educational notebooks with relaxed linting checks and extended line length (100 characters) to suit teaching code examples. It maintains educational clarity while enforcing consistent quality.

Black reformats code automatically to PEP 8 compliance. Flake8 reports style violations and errors; per-file ignores allow educational exceptions. isort reorganizes imports. The Skill applies all corrections and produces a cleaned notebook ready for use or publication.