A powerful tool for analyzing YouTube competitor channels, trending content, and search keywords to reverse-engineer successful video strategies.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install youtube-competitor-analysis
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 youtube-competitor-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The YouTube Competitor Analysis skill is a comprehensive data extraction and strategy tool designed for creators, marketers, and researchers. By leveraging this tool within the Openclaw Skills framework, users can bypass standard API limitations to gather granular data on competitor performance, subscriber growth, and engagement metrics. It enables a data-driven approach to content creation by identifying what works in specific niches and regions through automated metadata and transcript analysis.
This skill is built to integrate seamlessly with residential proxies, ensuring uninterrupted access to YouTube data without the constraints of traditional rate limits. Whether you need to scrape video transcripts for content repurposing or monitor global trending feeds to stay ahead of the curve, this addition to your Openclaw Skills library provides the technical infrastructure needed for high-scale video market research and competitive intelligence.
To successfully deploy this tool within your Openclaw Skills environment, you must configure proxy settings to handle YouTube's anti-scraping measures.
{
"browser": {
"proxy": {
"server": "http://gate.birdproxies.com:7777",
"username": "USER-country-us",
"password": "PASS"
}
}
}
export HTTP_PROXY=http://USER:[email protected]:7777
export HTTPS_PROXY=http://USER:[email protected]:7777
The skill organizes YouTube intelligence into a structured schema designed for easy integration into marketing dashboards or further analysis.
| Data Object | Fields Included |
|---|---|
| Channel Stats | Subscriber count, total views, video count, upload frequency, avg views |
| Video Analysis | Title, published date, view velocity, engagement rate, keywords, chapters |
| Content Strategy | Primary video format, average duration, posting days, thumbnail visual style |
| Keyword Metrics | Search result count, competition level, autocomplete suggestions, content gaps |
| Audience Insights | Comment sentiment, common FAQs, competitor mentions, feature requests |
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