关于
The Metadata Spell Checker skill is designed to maintain high-quality documentation within data pipelines by scanning .meta.yml and .dvc files for spelling errors. It integrates seamlessly with codespell, utilizing project-specific ignore lists and smart filtering to exclude archived datasets automatically. This skill is essential for data engineers and curators working on large-scale ETL projects like Our World in Data, providing an interactive workflow to review, ignore, or bulk-fix typos across thousands of files while respecting technical terminology.
