agent-trend-radar_skill

Overview

This skill detects web trend signals for multiple keywords and classifies them as Rising, Peaking, or Declining. It analyzes short-term timeframes and returns labeled trend states with supporting evidence links. The agent supports up to five simultaneous keywords and regional/timeframe filters.

How this skill works

The agent collects web signals—search volume proxies, social mentions, news frequency, and other public indicators—over the requested timeframe and region. It applies an AI-driven classifier to identify trend cycles and assigns a signal (Rising/Peaking/Declining) for each keyword. For transparency, it returns a short rationale and a list of source URLs that influenced the decision.

When to use it

• Monitor market sentiment for product launches or feature announcements
• Track early momentum for topics you may want to invest in or promote
• Detect when a topic is peaking so you can adjust campaign timing
• Audit campaign impact by comparing pre- and post-launch signal changes
• Maintain a watchlist of up to five strategic keywords concurrently

Best practices

• Limit input to 5 keywords to keep analysis focused and fast
• Choose appropriate timeframe (e.g., 7d for short-term, 30d for medium-term)
• Combine global and region-specific runs to spot geographic differences
• Review returned evidence links to validate model inferences
• Use results as signal guidance, not sole decision criteria

Example use cases

• A product manager checks whether buzz around a new feature is rising before a wider rollout
• A marketer monitors if a hashtag campaign has peaked and needs creative refresh
• An investor screens for early-rising topics in tech and DeFi over the past week
• A content strategist prioritizes trending keywords for next-week editorial planning
• A PR team verifies that earned media coverage correlates with rising public interest