Collect and analyze social media posts with engagement metrics and VIRAL tags.
npx skills add https://github.com/PaneriVatsal/FRIDAY --skill content-scraper
Please help me install this Agent Skill. Skill: content-scraper Source: https://github.com/PaneriVatsal/FRIDAY/tree/main/.agents/skills/content-scraper Command: npx skills add https://github.com/PaneriVatsal/FRIDAY --skill content-scraper
This Skill removes the manual effort of scanning social platforms for high-performing posts, letting you quickly identify what is already resonating in the AI tools and automation niche.
Ask the content-scraper skill to collect the last seven days of high-performing AI automation posts from Instagram, YouTube, and X, then return them as a sorted table with metrics and VIRAL tags.
High-intent search queries and answers about installing and using this skill.
To find viral social media content in the AI automation niche, you can automatically collect high-performing posts from Instagram Reels, YouTube Shorts, and Twitter/X, then sort them by views and engagement rate. This process captures the last seven days of competitor content for quick review.
Analyzing competitor engagement rates on Instagram Reels and YouTube Shorts involves capturing post views, likes, comments, and post dates to calculate the engagement rate. This data is then used to flag and tag the strongest performing videos as VIRAL based on specific view and engagement thresholds.
Yes, you can get transcripts of YouTube Shorts to review talking points without watching the videos. The content scraper transcribes video content so you can quickly read hooks and identify key discussion points from high-performing social media posts.
Yes, the viral content scraper works with Twitter/X monitoring for recent posts. It collects high-performing posts from the last seven days, capturing metrics like views, likes, and comments to calculate engagement rates for competitor content.
You can scrape seven days of social media content for viral post analysis. The scraper collects high-performing posts from a seven-day lookback window across Instagram Reels, YouTube Shorts, and Twitter/X, capturing metrics and tagging the strongest items as VIRAL.
To sort scraped social media posts by views and identify campaign inspiration, you collect the last seven days of competitor content and return it as a sorted table. This table includes post metrics, engagement rate calculations, content-format labels, and VIRAL tags based on threshold criteria.
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