video-playbook

To aggregate video analysis results, the Skill extracts insights from a template.json file and updates per-type JSON playbooks. It organizes metrics like average duration, scene count, and pacing across seven video types to guide future productions.

The Skill organizes analysis insights across seven specific video types: intro, teaching, template, meme, dance, mv, and clip. It extracts aggregated statistics for each category to build distinct, type-specific playbooks.

Yes, you can export video playbooks to Markdown. The Skill supports Markdown export via the manage_playbook.py script, ensuring reproducible storage and sharing of aggregated timing, visual, and audio metrics.

Yes, you need a template.json structure from prior video analysis. The Skill processes this template to extract timing, structure, captions, visual, and audio metrics, writing the aggregated results into per-type JSON files.

The best way to manage reproducible storage is writing playbook outputs directly to skills/video-playbook/playbooks/*.json. This ensures aggregated insights and common structures remain persistent for future scripting and editing reference.

You should use a type-based playbook to quickly reference proven production patterns. By aggregating analysis metrics like pacing and scene count, it streamlines scripting and editing workflows for recurring video categories.