auto-clipper

name	auto-clipper
description	Use when automatically clip long videos into short, engaging highlights for TikTok, Reels, and YouTube Shorts using FFmpeg and AI scene detection.
domain	content
author	oyi77
license	Apache-2.0
subdomain	content-creation
tags	["auto","clipper","video"]
version	1.0.0

description: Convert long videos into viral Shorts, TikToks, and Reels automatically. AI-powered scene detection, highlight extraction, and smart clipping. Use when repurposing long-form content into short-form, clipping highlights, or creating shorts from existing videos. domain: content tags:

• auto
• clipper
• content-creation
• digital-content
• media
• video dependencies: "- faster-whisper\n - textblob\n - vadersentiment\n - moviepy\n - opencv-python\n - ffmpeg-python\n -
  \ customtkinter\n"

---

Auto Clipper

When to Use

Trigger phrases:

• "clip this video" · "make shorts from this" · "turn this into TikTok"
• "auto clip" · "extract highlights" · "repurpose long video"
• "create Reels from" · "viral clips from" · "short-form from long-form"

Use cases:

• Convert a podcast/webinar into multiple short clips
• Extract highlights from long YouTube videos
• Create TikTok/Reels from existing content
• Auto-detect engaging moments via sentiment analysis
• Batch process multiple long videos into shorts

When NOT to use:

• For tasks outside this skill's scope

Production-ready AI-powered video clipper untuk content creator Indonesia.

When NOT to Use

• When the content requires deep domain expertise you do not have
• For legal, medical, or financial advice content
• When real-time data is required (use live data feeds)

Overview

Auto Clipper enables content production with professional quality and consistency.

Workflow

# Example: Content generation pipeline
def generate_content(topic: str, format: str = "article"):
    outline = create_outline(topic)
    draft = write_draft(outline, format)
    edited = edit_for_quality(draft)
    optimized = optimize_for_seo(edited)
    return publish(optimized)

1. Define brief — Set objectives, audience, and style guidelines
2. Research and gather — Collect source material and reference content
3. Create draft — Generate initial content following the brief
4. Refine and edit — Polish for quality, accuracy, and engagement
5. Publish and distribute — Deploy to target platforms
6. Track performance — Monitor engagement and iterate

Quality Checklist

• Content matches the defined brief and audience
• All facts verified against authoritative sources
• Formatting consistent with style guidelines
• SEO/distribution optimization applied
• Call-to-action clear and compelling

Tools

• Content management system for publishing
• Analytics platform for performance tracking
• Design tools for visual assets
• Collaboration tools for review cycles

Anti-Rationalization Table

Rationalization	Reality
"Good enough content works"	Quality content drives engagement. Mediocre content gets ignored.
"I will optimize later"	SEO and distribution need optimization from the start.
"Templates are good enough"	Templates are a starting point. Custom content outperforms generic.

Process

1. Prepare — Gather requirements, verify prerequisites, set up environment
2. Execute — Run auto clipper workflow with configured parameters
3. Verify — Validate output meets requirements, document results

Verification

• Content meets quality standards and brief requirements
• Output is properly formatted for target platform
• All facts and references verified
• SEO/distribution optimization applied where applicable