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Track and analyze trends, breaking news, and market shifts. Measures velocity across web, social, news, GitHub, and academic signals. Produces news digests and trend trajectory reports. Use when tracking news, identifying trends, or monitoring developments.
npx claudepluginhub damionrashford/rivalsearch-pluginHow this skill is triggered — by the user, by Claude, or both
Slash command
/rival-search:trend-intelThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Analyze trends and news for: **$ARGUMENTS**
Scans market trends, competitor activity, and emerging patterns for topics like AI coding assistants or SvelteKit using Product Hunt, GitHub Trending, HackerNews, and social platforms.
Extracts pain points, trends, competitor positioning, and discovery signals from community sources (Reddit, HN, Bluesky, Mastodon, GitHub Issues, web). Applies SWOT/Porter's 5F/PESTEL frameworks. Use for market research, user complaints, voice-of-customer, and trend detection.
Scans GitHub trending, package registries, and developer social media to detect early-stage technology shifts and emerging tools.
Share bugs, ideas, or general feedback.
Analyze trends and news for: $ARGUMENTS
Follow these steps precisely using RivalSearchMCP tools. Report progress after each step.
Use news_aggregation twice to establish recency and trajectory:
Compare weekly to monthly volume. Is coverage accelerating, steady, or declining?
Use web_search twice for broader context:
Capture analysis from non-news sources (blogs, industry sites, company announcements).
Use social_search twice to measure community momentum:
Compare recent (month) vs historical (year) volume. Note sentiment shifts, new voices, and debate intensity.
Use github_search twice:
Compare established projects (stars) vs active development (updated). Note star counts, contributor numbers, and issue activity.
Use scientific_research:
Is there peer-reviewed research driving this trend? How recent are the publications?
For the 3 most insightful articles or reports found, use content_operations:
For the top 2-3 companies or projects driving this trend:
map_website with url: <player_url>, mode: "research", max_pages: 5, max_depth: 1| Signal | Measurement | Direction |
|---|---|---|
| News frequency | X articles/week | Accelerating/Steady/Declining |
| Social mentions | X threads/month | ... |
| GitHub stars | Top repo: X stars | ... |
| Academic papers | X papers in last year | ... |
Keep it concise but data-rich. Use clean markdown with inline citations Source Name.