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Discover and track emerging trends across Twitter/X, Reddit, YouTube, LinkedIn, and Instagram using anysite MCP server. Identify viral content, monitor topic momentum, detect trending hashtags, analyze search patterns, and track industry shifts. Supports multi-platform trend detection, sentiment analysis, and momentum tracking. Use when users need to identify emerging trends, track viral content, monitor market shifts, discover trending topics, or analyze social media conversations for strategic insights.
npx skill4agent add anysiteio/agent-skills anysite-trend-analysissearch_twitter_posts(query, count)search_reddit_posts(query, count)search_youtube_videos(query, count)search_linkedin_posts(keywords, count)search_instagram_posts(query, count)# Twitter
search_twitter_posts(query="AI OR artificial intelligence", count=100)
Filter for: Posted within 24-48h, high engagement
# Reddit
search_reddit_posts(query="artificial intelligence", count=100)
Filter: r/technology, r/MachineLearning, r/singularity
# YouTube
search_youtube_videos(query="AI news", count=50)
Filter: Published this week, views >10k
# LinkedIn
search_linkedin_posts(keywords="artificial intelligence", count=50)
Filter: High engagement, recentAnalyze content for recurring:
- Keywords and phrases
- Company/product mentions
- Events or announcements
- Questions or concernsFor each theme:
- Platform count (how many platforms)
- Total engagement
- Growth velocity
- Sentiment distributionTrends with:
- Presence on 3+ platforms
- Engagement growing >50% daily
- Positive or controversial sentiment
- Coverage by influencers/media# Instagram
search_instagram_posts(query="#sustainability", count=100)
Group by: Last 24h, last week, last month
# Twitter
search_twitter_posts(query="#sustainability", count=100)
Track tweet volume over time
# LinkedIn
search_linkedin_posts(keywords="sustainability", count=50)
Check professional adoptionHashtag velocity:
- Posts in last 24h vs. previous 24h
- Engagement rate change
- New accounts using hashtag
- Geographic spreadCompare early vs. recent posts:
- Topic shifts
- Audience changes
- Influencer involvement
- Commercial adoptionBased on growth curve:
- Early stage (accelerating)
- Peak stage (plateauing)
- Decline stage (slowing)search_reddit_posts(
query="",
subreddit="technology"
)
→ Get top posts from last weekFor each post:
get_reddit_post(post_url)
get_reddit_post_comments(post_url)
Calculate:
- Upvotes per hour
- Comment velocity
- Award count
- Controversial scoreFrom high-momentum posts:
- What problems are discussed?
- What solutions are proposed?
- What companies/products mentioned?
- What sentiment (positive, negative, concerned)?Check if trending Reddit topics appear on:
- Twitter (mainstream awareness)
- LinkedIn (professional discussion)
- YouTube (explainer content)search_twitter_posts(query, count)get_twitter_user(user)search_reddit_posts(query, subreddit, count)get_reddit_post(url)get_reddit_post_comments(url)search_youtube_videos(query, count)get_youtube_video(video)get_youtube_video_comments(video, count)search_linkedin_posts(keywords, count)get_linkedin_company_posts(urn, count)search_instagram_posts(query, count)get_instagram_post(post_id)