video-design-spec-builder

Name: video-design-spec-builder
Availability: InStock
Author: bachdyon

Generate reusable video design specifications from video samples using Python and Gemini API.

Updated Aug 27, 2026

Search Tags:#video production #video analytics #style standardization #video design specification #video content creation

Ready to run

npx skills add https://github.com/bachdyon/video-automator-skills --skill video-design-spec-builder

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: video-design-spec-builder
Source: https://github.com/bachdyon/video-automator-skills/tree/main/skills/video-design-spec-builder
Command: npx skills add https://github.com/bachdyon/video-automator-skills --skill video-design-spec-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-genai, and includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of creating reusable video design specifications (VDS) from video samples, preserving style and removing personal identifiers, for efficient video content creation.

Core Features & Use Cases

Video Design Specification Creation: Generate VDS from video samples to standardize video short-form production.
Style Preservation: Keep the style, editing rhythm, mood, and narrative structure while anonymizing personal details.
Reusability: Reuse the generated VDS for similar content, saving time on video production.
Use Case: When creating content for TikTok/Reels/Shorts, use this Skill to analyze and standardize a style from a video sample, then apply the resulting VDS to new content.

Quick Start

Use the video-design-spec-builder skill to create a VDS for your new video content.

Frequently Asked Questions about video-design-spec-builder

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

FAQPage Schema

How do I create a reusable video design specification from an existing video sample?▼

To create a reusable video design specification from a video sample, use this Skill to analyze the video's style, narrative, and timing while anonymizing personal details, generating a standardized VDS for short-form content workflows.

What is the best way to standardize short-form video production for TikTok and Reels?▼

The best way to standardize short-form video production for TikTok and Reels is to generate a reusable Video Design Specification from a reference video, capturing its editing rhythm and mood to apply consistently across new content.

Does video design specification generation require a Gemini API key?▼

Video design specification generation does require a Gemini API key, as the Skill uses the Google GenAI dependency to analyze video samples and extract style, narrative, and timing data.

Can I preserve editing rhythm and style without exposing personal details from the source video?▼

You can preserve editing rhythm and style without exposing personal details because the Skill generates a Video Design Specification that actively anonymizes personal identifiers while retaining the original narrative structure and mood.

What are the limitations of using automated video analysis for style standardization?▼

Limitations of using automated video analysis for style standardization include relying on Python libraries and Gemini API processing, which restricts usage to short-form video workflows and requires providing suitable video samples for accurate style extraction.

How do video analytics tools extract narrative structure for reusable content creation?▼

Video analytics tools extract narrative structure for reusable content creation by analyzing video samples to identify timing, mood, and editing patterns, translating these elements into a standardized Video Design Specification document.