video-highlight

Generate video covers and highlight clips from raw video assets.

168|13|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/npc-live/clawfirm --skill video-highlight
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-highlight
Source: https://github.com/npc-live/clawfirm/tree/main/app/assets/skills/video-highlight
Command: npx skills add https://github.com/npc-live/clawfirm --skill video-highlight

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Pillow, and includes scripts (resource) components.

What problem does it solve?

Video creators often spend hours selecting frames, designing thumbnails, and assembling highlight clips. This Skill automates the process to generate ready-to-use covers and video highlights, saving time and ensuring branding consistency across platforms.

Core Features & Use Cases

  • Automated frame extraction and cover generation from input videos.
  • AI-assisted frame analysis to identify representative shots and generate captions.
  • Full highlight-clip workflow with optional text overlays and formatting for social channels.

Quick Start

From VIDEO, generate a cover image and a highlight clip using the default settings.

Frequently Asked Questions about video-highlight

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

FAQPage Schema
How do I automate video cover generation and highlight clip extraction from raw video assets?

Automate video cover generation and highlight extraction by using AI-based frame understanding with ffprobe and ffmpeg to identify representative shots and process them in batches. This generates ready-to-use cover images and clips automatically.

Can I use ffmpeg to batch process social media clips and add text overlays?

Yes, you can use ffmpeg to batch process social media clips and apply automated text overlays. This ensures consistent branding and formatting across multiple video outputs simultaneously.

Does AI frame analysis work for selecting thumbnails from long-form tutorials and demos?

AI frame analysis works for selecting thumbnails from long-form tutorials and demos by evaluating frames to identify representative shots. It then generates captions to support automated cover pipelines.

What is the best way to ensure consistent branding across multiple video covers and highlights?

The best way to ensure consistent branding across multiple video covers and highlights is to use an automated batch processing pipeline. This applies standardized text overlays and formatting to all generated assets.

Do I need Pillow installed to run automated video cover generation pipelines?

Yes, you need Pillow installed to run the automated video cover generation pipeline. It serves as a required dependency for handling image processing within the cover and text-overlay workflows.