highlight-finder

Analyze video transcript files to identify viral-worthy segments for short clips.

17|5|Updated Jun 15, 2026
One-click install
npx skills add https://github.com/abdu6666/Bunny-AI-Agent --skill highlight-finder-abdu6666
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: highlight-finder
Source: https://github.com/abdu6666/Bunny-AI-Agent/tree/main/templates/shortsdrone-agent/.claude/skills/highlight-finder
Command: npx skills add https://github.com/abdu6666/Bunny-AI-Agent --skill highlight-finder-abdu6666

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The highlight-finder skill solves the problem of manually selecting engaging and viral-worthy segments from video transcripts for creating short clips.

Core Features & Use Cases

  • Analyze Transcripts: Analyze video transcripts for engagement signals and rate segments by viral potential.
  • Identify Hooks: Detect strong opening statements that capture viewers' attention.
  • Find Patterns: Uncover stories, insights, quotes, and humor in transcripts.
  • Segment Selection: Use commands to find all highlights, specific moments like funniest moments, educational segments, or controversial opinions.

Quick Start

Run the highlight-finder skill to find all highlights from the video transcript located at 'output/transcripts/VIDEO_ID.json'.

Frequently Asked Questions about highlight-finder

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

FAQPage Schema
How do I find engaging video segments from a transcript for short clips?

You can identify viral-worthy segments by analyzing engagement signals and pattern detection within video transcript files. The process scores transcript sections to automatically find hooks, humorous moments, and educational segments for short clips.

Can I automatically identify specific moments like funny insights in video transcripts?

Yes, specific commands allow you to find targeted moments like funniest segments, educational insights, or controversial quotes in video transcripts. The tool detects stories, humor, and insights by analyzing transcript engagement patterns.

Do I need Python scripts to process video transcripts for segment identification?

Yes, Python scripts are required to process the video transcript file for segment identification. The scripts analyze transcript data to score engagement signals and detect viral-worthy patterns automatically.

What is the best way to automate selecting viral content from video transcripts?

Automating viral content selection involves analyzing engagement signals and scoring transcript segments for viral potential. This approach detects strong opening hooks, stories, and humor, eliminating the need for manual segment selection.

What video transcript format is needed for engagement scoring and segment identification?

The segment identification process requires a video transcript file in JSON format, specifically located at 'output/transcripts/VIDEO_ID.json'. This structured format allows the scripts to parse text and analyze engagement signals effectively.