Validate Training Materials

To validate Nextflow training materials, run an automated check from the repository root to review heading numbering, document structure, formatting, and content accuracy across individual lessons or the entire project.

An automated linting check for Nextflow documentation looks for TODO or FIXME markers, incorrect admonition syntax, orphaned files, and Nextflow script convention violations to enforce repository quality criteria.

Yes, you can check Nextflow script conventions and lesson structure before committing by running validation workflows that catch formatting issues, content inaccuracies, and structural misalignments early to maintain module consistency.

You should run training material validation checks on your repository before committing changes to catch issues early, enforce quality criteria, and ensure all lessons align with Nextflow learning objectives and repository conventions.

The best way to catch orphaned files and admonition syntax errors is to use an automated validation skill that scans the repository structure, identifies formatting inconsistencies, and flags issues for immediate resolution before commits.