video-library-pipeline-extract-review

This Skill exports extracted video metadata into a structured YAML file containing program aliases. It pauses the pipeline to allow a human reviewer to manually inspect, correct, and approve the data before any further processing occurs.

Automated extraction plugins parse video content and compile identified program titles into a structured YAML file of program aliases. This output is explicitly designed for human inspection and manual correction before pipeline progression.

Implementing a dedicated human review stage halts pipeline execution after data extraction and YAML export. This mechanism preserves previously reviewed data while waiting for manual corrections before allowing the pipeline to progress.

Yes, the extraction process explicitly preserves previously reviewed data during re-extraction. When running pipeline validation and re-extracting program data for human review, the system maintains existing corrections while presenting new data for approval.

Yes, you can run validation checks before extracting video metadata for review. The pipeline supports validation checks to ensure data integrity, and you can re-extract program data for human review only after the initial validation stage completes.

A key limitation is that automated video metadata extraction relies on defined plugins, meaning extraction accuracy depends entirely on plugin configuration. Consequently, it requires a mandatory human review stage to pause the pipeline for manual inspection and correction of program aliases.