Viral Decoder transforms viral short-form video content into actionable e-commerce strategies by extracting hooks, visual cues, and engagement patterns.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install viral-decoder
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-decoder using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Viral Decoder is a specialized analytical tool within the Openclaw Skills ecosystem designed for digital marketers and e-commerce brands. It systematically deconstructs high-performing content from platforms like TikTok, Instagram Reels, and YouTube Shorts. By identifying the underlying mechanics of virality, it provides developers and creators with a blueprint for replicable success.
This skill bridges the gap between raw social media consumption and data-driven content production. By leveraging Openclaw Skills, users can automate the extraction of high-value metadata from viral videos, ensuring that every brand video is backed by proven engagement logic and structural hooks.
To install Viral Decoder and begin decoding viral content, use the following CLI commands within your Openclaw environment:
# Install the Viral Decoder skill
openclaw install viral-decoder
# Configure your API credentials for social platform data extraction
openclaw configure viral-decoder
Viral Decoder organizes its extraction data into a structured format for easy integration into marketing workflows:
| Field | Description | Type |
|---|---|---|
hook_type |
Classification of the opening visual/audio hook | String |
engagement_score |
Calculated probability of replication success | Float |
cta_timestamp |
Exact second the call-to-action appears | Duration |
visual_elements |
List of overlays, filters, and text used | Array |
platform_origin |
The source platform (e.g., TikTok, Reels) | Enum |
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