reel-style-clone

Analyze reference video rhythm and style to generate matching clips and assemble timelines in Resolve.

Updated Jun 17, 2026
One-click install
npx skills add https://github.com/LucianoTheForce/reelstudio --skill reel-style-clone
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reel-style-clone
Source: https://github.com/LucianoTheForce/reelstudio/tree/main/reel-style-clone
Command: npx skills add https://github.com/LucianoTheForce/reelstudio --skill reel-style-clone

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires scenedetect, google-genai, yt_dlp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the end-to-end process of analyzing a reference video to reproduce its editing style, rhythm, and camera language, enabling rapid generation of new clips that match the original look and cadence.

Core Features & Use Cases

  • Two-track analysis pipeline: layer A measures rhythm and cuts (PySceneDetect) while layer B infers move, mood, and look (Gemini) to guide Seedance prompts.
  • End-to-end generation & assembly: from reference to stills/clips, approval gates, Seedance animation, and final timeline assembly in Resolve.
  • Use Case: produce a new reel that faithfully mirrors a reference's pacing and aesthetic across multiple shots or projects.

Quick Start

Load a reference video and run the dashboard to clone its editing cadence.

Frequently Asked Questions about reel-style-clone

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

FAQPage Schema
How do I clone the editing style and rhythm of a reference video using AI?

To clone an editing style, this Skill uses a two-track AI pipeline: PySceneDetect measures rhythm and cuts, while Gemini infers mood and camera movement to generate matching new video assets.

What is the best way to automate matching a reel's camera movement and montage logic?

Automating montage logic is handled by layering PySceneDetect for cadence and Gemini for visual style, constructing prompts that drive Seedance animation generation to replicate the original look.

Does this video cloning workflow support timeline assembly in DaVinci Resolve?

Yes, timeline assembly in Resolve is supported. The pipeline processes reference analysis, generates stills and video clips through approval gates, and outputs a final assembled timeline.

Can I use Gemini and Seedance to reproduce a specific video aesthetic across multiple shots?

Yes, Gemini analyzes the reference aesthetic to build Seedance prompts, ensuring consistent camera movement and visual style are applied across multiple generated shots and projects.

Do I need PySceneDetect to analyze video rhythm for AI generation?

Yes, PySceneDetect is required as it forms layer A of the analysis pipeline, detecting cuts and measuring the rhythm needed to guide the AI generation and prompt construction.

What are the limitations of using AI to replicate an existing video's pacing and look?

Replicating pacing depends on accurate scene detection and style inference. Complex transitions may require manual approval gates before Seedance generates assets for final assembly.