video-library-pipeline-extract-review

Name: video-library-pipeline-extract-review
Availability: InStock
Author: Altair

Extract video metadata into YAML files for human review.

Updated Feb 17, 2026

Search Tags:#video #yaml #metadata #pipeline #review #extraction

Ready to run

npx skills add https://github.com/NEXTAltair/video-library-pipeline --skill video-library-pipeline-extract-review

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: video-library-pipeline-extract-review
Source: https://github.com/NEXTAltair/video-library-pipeline/tree/main/skills/extract-review
Command: npx skills add https://github.com/NEXTAltair/video-library-pipeline --skill video-library-pipeline-extract-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the extraction of metadata from video content, exports it into a reviewable YAML format, and pauses for human verification before further processing.

Core Features & Use Cases

Automated Extraction: Runs extraction processes using defined plugins.
YAML Export: Generates a YAML file containing program aliases for easy review.
Human Review Stage: Stops execution to allow for manual inspection and correction of extracted data before proceeding.
Use Case: After an initial video processing stage, this Skill extracts potential program titles and aliases, presents them in a structured YAML file, and waits for a content manager to approve or edit them before the next step in the pipeline.

Quick Start

Run the video pipeline validation and then re-extract program data for human review.

Frequently Asked Questions about video-library-pipeline-extract-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract video metadata for manual review in a processing pipeline?▼

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.

How do I generate a YAML file of program aliases from video content?▼

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.

What is the best way to pause a video pipeline for human verification of extracted data?▼

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.

Does video metadata extraction preserve previously reviewed data during re-extraction?▼

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.

Can I run validation checks before extracting video metadata for review?▼

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.

What are the limitations of automated video metadata extraction in a pipeline?▼

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.