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local-video-content-analyzer

Analyze local video files and engagement data to assess viral potential.

1|2|Updated Apr 28, 2026
Search Tags:#video analysis#engagement metrics#multimodal analysis#viral attribution#local video
One-click install
npx skills add https://github.com/gaojesse999/ai-scripts --skill local-video-content-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: local-video-content-analyzer
Source: https://github.com/gaojesse999/ai-scripts/tree/main/skills/local-video-content-analyzer
Command: npx skills add https://github.com/gaojesse999/ai-scripts --skill local-video-content-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill analyzes local short-form video files and their engagement data to determine why a video went viral and to produce a replicable blueprint.

Core Features & Use Cases

  • Video Analysis: Analyze local video files for viral potential.
  • Engagement Metrics: Calculate engagement metrics such as views, likes, and shares.
  • Viral Attribution: Explain why a video went viral based on engagement data.
  • Blueprint Generation: Provide a replicable blueprint for future viral content.
  • Use Case: If you have a local video file and want to understand its viral potential and engagement, this Skill can help you analyze it and provide insights.

Quick Start

Analyze the video file 'example_video.mp4' and its engagement data using the local-video-content-analyzer skill.

Frequently Asked Questions about local-video-content-analyzer

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

FAQPage Schema
How do I analyze local short-form videos for viral potential using engagement data?▼

To analyze local video viral potential, you use a Python helper to prepare the video files and engagement data, then an agent performs multimodal analysis to calculate metrics and explain viral attribution.

What engagement metrics are needed to explain why a short-form video went viral?▼

Viral attribution requires engagement metrics such as views, likes, and shares from your local video files to determine why the content went viral and generate a replicable blueprint for future posts.

Do I need a Python environment to analyze local video files for engagement metrics?▼

Yes, you need a Python environment because the Skill requires a Python helper script to prepare your local short-form video data before the agent can perform the actual multimodal analysis.

Can I generate a replicable blueprint for future viral content from local video analysis?▼

Yes, local video analysis provides a replicable blueprint for future viral content by examining the video file and its engagement data to explain why a video went viral.

Does local video content analysis work without uploading files to a cloud platform?▼

Local video content analysis processes your short-form video files directly on your machine, requiring only a local Python helper for data preparation and an agent for the actual multimodal analysis.

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