An AI-powered diagnostic tool that analyzes video ad transcripts and pacing to provide actionable coaching feedback for high-ROI content.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install viral-video-analysis
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install viral-video-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Viral Video Analysis?
Viral Video Analysis is a specialized diagnostic skill designed to bridge the gap between creative content and performance data. By integrating with the Memories.ai API, this skill extracts audio transcripts and evaluates them against proven quantitative thresholds. It helps identify why specific video ads underperform, focusing on the core problem: creators spending too much time explaining rather than showing products. Using Openclaw Skills like this enables teams to scale their creative strategy by automating the audit of visual-first content across platforms like TikTok, Instagram Reels, and YouTube.
The tool is built on the philosophy that high-performing ads reach non-followers who need to be hooked within three seconds. It prioritizes word count density, time spent per product, and visual showcase timing to transform raw video URLs into structured feedback reports. This makes it an essential asset for performance marketing teams and creator agencies looking to improve campaign ROI through data-backed coaching.
Viral Video Analysis Use Cases
- Coaching creators by providing specific, metric-based feedback on their video drafts.
- Auditing underperforming ad campaigns to identify structural issues like high word counts.
- Comparing high vs. low ROI video batches to find winning content patterns.
- Automated generation of feedback templates for large-scale creator management.
- Analyzing competitor video structures to benchmark pacing and hooks.
How Viral Video Analysis Works
- The user provides a video URL from TikTok, Instagram, X, or YouTube.
- The skill detects the platform and sends the URL to the Memories.ai backend for transcription.
- It calculates word count and pacing metrics (e.g., words per second or time per product showcased).
- The system compares these metrics against ROI thresholds (e.g., <100 words is marked as high-performing).
- It generates a structured feedback report highlighting what's working and identifying specific opportunities for improvement.
Viral Video Analysis Setup
To get started with this skill, you must obtain a Memories.ai API key.
- Visit Memories.ai to generate your
MEMORIES_API_KEY. - Set the environment variable in your terminal:
export MEMORIES_API_KEY="your-api-key-here"
- The skill will automatically handle the installation of required Python packages like
fpdf2,pandas, andopenpyxlduring the first analysis run.
Viral Video Analysis Data Schema & Taxonomy
The skill processes and generates data according to the following schema:
| Attribute | Description | Threshold / Example |
|---|---|---|
word_count |
Total words in transcript | <100 (Good), >150 (Bad) |
pacing |
Seconds spent per product | ~5s (Good), >15s (Bad) |
platform |
Source social media platform | TikTok, Instagram, Twitter, YouTube |
roi_tier |
Performance classification | TOP (ROI > 1.0), BOTTOM (ROI < 1.0) |
status |
Visual-first audit result | GOOD, OK, BAD |
Viral Video Analysis Advanced Features
- Batch Analysis: Process entire Excel spreadsheets of performance data to correlate ROI with video structure.
- Platform Detection: Automatically routes URLs to specific API endpoints based on the source platform (TikTok vs. YouTube).
- Creator Feedback Templates: Generates ready-to-send messaging for creator coaching based on analysis results.
- Kirsten Approach Analysis: Identifies 'detailed review' exceptions where high word counts are acceptable if structured correctly.
- Side-by-Side Comparison: Analyze multiple URLs simultaneously to visualize the difference between high and low ROI content.
SKILL.md
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