video-editing

Integrate AI-driven organization with FFmpeg processing and Remotion compositions for video editing.

Updated Jan 30, 2026
One-click install
npx skills add https://github.com/ThejanaJayalath/Niolla-PM-system --skill video-editing-thejanajayalath
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-editing
Source: https://github.com/ThejanaJayalath/Niolla-PM-system/tree/main/.cursor/.agents/skills/video-editing
Command: npx skills add https://github.com/ThejanaJayalath/Niolla-PM-system --skill video-editing-thejanajayalath

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the inefficiency of manual video editing by providing a structured, AI-assisted pipeline to compress, organize, and augment raw footage into polished content.

Core Features & Use Cases

  • Deterministic Editing: Uses FFmpeg for precise cutting, trimming, and batch processing of raw video files.
  • Programmable Composition: Leverages Remotion to create reusable templates for overlays, data visualizations, and motion graphics.
  • Use Case: Transform a 4-hour raw coding session into a 10-minute polished tutorial by using AI to identify key segments, auto-cut dead air, and apply branded overlays.

Quick Start

Use the video-editing skill to transcribe my raw footage and generate an edit decision list for a 5-minute vlog.

Frequently Asked Questions about video-editing

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

FAQPage Schema
How do I automate trimming raw footage and cutting dead air from long videos?

Automate trimming raw footage by using AI-driven scene detection to identify key segments and auto-cut dead air, then applying deterministic FFmpeg processing for precise batch cutting and editing.

How does AI-assisted video editing generate an edit decision list from raw footage?

AI-assisted video editing generates an edit decision list by transcribing raw footage, analyzing content to identify key segments, and mapping timestamps for deterministic FFmpeg cuts and Remotion composition.

Do I need Node.js and FFmpeg installed to use Remotion for programmatic video composition?

Yes, you need Node.js for Remotion programmable compositions and FFmpeg for deterministic video processing, alongside API access to ElevenLabs or fal.ai for generating voiceover and motion graphic assets.

Can I use FFmpeg to batch process raw video files and add Remotion motion graphics overlays?

Yes, you can batch process raw video files using deterministic FFmpeg cutting and then apply branded overlays, data visualizations, and motion graphics using Remotion programmable templates.

What is the best way to add AI voiceovers to a polished video tutorial?

The best way to add AI voiceovers to a video tutorial is by integrating API access to ElevenLabs within the editing pipeline, generating audio assets to sync with Remotion compositions and FFmpeg-trimmed footage.

Why use FFmpeg and Remotion together instead of manual video editing for long raw sessions?

Using FFmpeg and Remotion together solves the inefficiency of manual editing by providing a structured pipeline to auto-cut dead air, apply programmable motion graphics overlays, and compress long raw sessions into polished content.