An AI-powered pipeline to reverse-engineer viral videos into replicable Seedance 2.0 prompts with intelligent material replacement.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install viral-video-replicator
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install viral-video-replicator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Viral Video Replicator is a sophisticated technical skill designed to decompose reference videos into structured data for creative replication. By utilizing a pipeline of local tools and cloud-based AI, it allows developers and creators to extract the core 'DNA' of viral content. This skill is a core part of the Openclaw Skills ecosystem, enabling users to transform a source video into a high-fidelity Seedance 2.0 prompt that can preserve or replace specific elements like the actor's face or the clothing being worn.
At its heart, the skill bridges the gap between raw video files and structured AI prompts. It handles the heavy lifting of frame extraction, audio transcription, and visual analysis, providing a turnkey solution for content creators who need to scale their production based on successful social media trends or competitor analysis.
To use this skill within the Openclaw Skills framework, you must first ensure your local environment is prepared.
# Install FFmpeg (Required for frame and audio extraction)
# macOS
brew install ffmpeg
# Linux
sudo apt update && sudo apt install ffmpeg
# Verify installation
ffmpeg -version && ffprobe -version
Next, configure your API credentials. The skill requires an ARK_API_KEY for Vision analysis. Optional ASR and TOS credentials are required if you wish to process video dialogue.
The skill organizes its analysis into a structured format compatible with the wider Openclaw Skills metadata standards:
| Category | Description |
|---|---|
person |
Maps facial features, hair style, skin tone, and body build. |
clothing |
Details garment type, fabric texture, fit, and specific design elements. |
scene |
Identifies the physical location and primary lighting sources. |
actions |
A chronological log of movements (e.g., 0-2s: waving). |
dialogue |
The full transcribed text of the video's audio track. |
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